When you're building something, there's a constant pull toward the next thing. The next milestone, the next partnership, the next version of your life that looks a little more like the one you've been imagining. And that pull isn't bad. Ambition is not the problem. But I've noticed something about the way I used to respond to it, and I think it's worth talking about.

The Trap of Forward-Only Thinking

For a long time, I operated in a mode where every day was about closing the gap. The gap between where I was and where I wanted to be. That sounds productive. It sounds like drive. But there's a cost to it that nobody warns you about.

When you only look forward, you lose the ability to see clearly.

Not because the future is unknowable. But because when every thought is oriented toward what's next, you develop a kind of blindness to what's already here. You start treating your current life, your current relationships, your current opportunities, as stepping stones instead of solid ground. And when you do that, you never actually stand on anything. You're always mid-leap.

I caught myself doing this a few months ago. I had just finished a stretch of building that should have felt significant. Vantage was live. The articles were resonating. New clients were coming in. And instead of sitting in any of that, my first instinct was to open a new tab and start planning the next phase. Before I'd even processed what just happened.

That's not ambition. That's avoidance dressed up as work ethic.

What Gratitude Actually Does

I used to think gratitude was soft. A nice journal prompt. Something people do when they don't have real problems. I was wrong.

Gratitude, the real kind, not the performative kind you post about, is one of the most clarifying forces I've ever experienced. And I don't mean "I'm blessed" on a sunset photo. I mean sitting with the specific, uncomfortable reality that you have been given things you did not earn and could not have manufactured on your own.

The fact that I'm building a company at all. That I get to work with founders who are doing genuinely ambitious things. That I have people in my life who show up for me when I'm not impressive. That I'm healthy. That I woke up today.

None of that was guaranteed. Most of it wasn't even likely.

When you actually sit in that, something shifts. The frantic energy calms down. Not because you lose ambition, but because you stop operating from scarcity. You stop treating every opportunity like it might be the last one. You stop gripping so hard.

And that's when the clarity comes.

Scarcity Makes You Reactive. Gratitude Makes You Strategic.

Here's what I mean by clarity. When I was in forward-only mode, every opportunity felt urgent. A potential partnership. A new revenue stream. A bigger platform. They all felt like things I had to chase immediately, because what if this was the one? What if missing it meant falling behind?

That urgency made me reactive. I said yes to things that didn't align. I stretched into directions that didn't make sense for where I was. I confused motion with progress. I've written about this before, and it applies to life just as much as it applies to marketing.

When I started operating from a place of genuine thankfulness for what was already working, the decision-making changed completely. Not because I became passive or complacent. But because I could finally evaluate opportunities against something stable. Against a foundation I actually acknowledged instead of sprinting past.

You can't see clearly when you're running. You have to stop, look around, and honestly assess what you're standing on. And most of the time, you're standing on something more solid than you realized.

The People You Already Have

This one hit me hard. I spent so much energy thinking about the network I needed to build, the mentors I needed to find, the connections that could unlock the next level. And I neglected the people who were already there.

The friends who believed in what I was building before it was anything. The family that put up with my obsessive work hours and still showed up. The early clients who took a chance on a young guy with more conviction than credentials.

Those people are not placeholders. They're not the warm-up act before the "real" relationships start. They are the real relationships. And I've learned that the quality of your future opportunities is directly tied to how well you honor the people already in your corner.

Not because of some karmic transaction. But because loyalty, real loyalty, is a skill. And if you can't practice it with the people who are already here, you won't suddenly develop it when someone more impressive shows up.

What This Looks Like in Practice

I'm not going to pretend I've mastered this. I haven't. But here's what's changed in how I approach the future now.

Before I evaluate a new opportunity, I ask myself one question: Am I running toward something, or running from something?

If I'm running toward it because it genuinely builds on what I've already established, because it serves the people I'm already committed to, because it deepens the work instead of scattering it, then it's worth pursuing.

If I'm running toward it because I'm bored, or restless, or because the thing I already have stopped feeling exciting, then I need to pause. Because that restlessness usually isn't a signal that I need something new. It's a signal that I haven't fully appreciated what I already have.

That distinction has saved me from more bad decisions than any strategy framework ever has.

Ambition With Roots

I think the version of ambition that actually lasts, the kind that builds things worth building, is the kind that grows from roots instead of anxiety.

Rooted ambition says: I see what I've been given. I'm grateful for it. I'm going to steward it well. And from that place of stability, I'm going to reach for the next thing with open hands instead of desperate ones.

Anxious ambition says: I need more. What I have isn't enough. If I don't move faster, I'll fall behind. It grips everything and holds nothing.

I've lived both. The anxious version produced more noise. The rooted version produced better work. Every time.

A Note On Faith

I've been open about this before. My faith is the deepest root I have. The conviction that I've been placed where I am for a reason, that what I've been given is not an accident, that gratitude is not just a feeling but a posture of the heart. That changes how I approach everything.

I don't say that to convince you of anything. I say it because leaving it out would be dishonest. And this article is about honesty more than anything else.

Before You Reach

If you're sitting where I was, staring at the next opportunity, already mapping out how it changes everything, I'd ask you to do something first.

Look around. Not at what's missing. At what's here.

The people. The progress. The fact that you're in a position to even consider what's next, because that alone means something went right that you might be taking for granted.

Let that land. Let it change the texture of your ambition from desperate to deliberate. And then, from that place, the place where you're standing on ground you're actually grateful for, make your next move.

It'll be a better one. I promise.

- MM

It's fast. It's satisfying. You post an update, you push a tweet, you announce a feature. And for about thirty seconds, it feels like progress. Like you're building momentum. Like the world is watching you move.

And then the feeling fades. So you do it again. And again. And eventually you're not marketing anymore. You're chasing a hit.

I've been guilty of this. Over the last couple of months, I've caught myself wanting to push out announcement after announcement about what I'm building. New feature. New module. New update. New post. Every small win turned into a public moment. Every commit turned into content.

It felt productive. It wasn't.

The Trap Looks Like Momentum

Here's the thing about constant updates. They look like consistency from the inside. And consistency is what every marketing playbook tells you matters. Post regularly. Show up every day. Stay top of mind. Be omnipresent.

So when you're shipping announcements back to back, it feels like you're following the playbook. You're being consistent. You're showing up. You're doing the thing.

But there's a difference between consistency and compulsion. Consistency is a rhythm you design. Compulsion is a reaction you can't stop. One is strategic. The other is just noise with your name on it.

> Consistency is a rhythm. Compulsion is a reaction. One builds brands. The other burns them out.

And the worst part is that the people watching can tell the difference even when you can't. When every week brings a new announcement, the audience stops treating any of them as significant. You've trained them to scroll past you. The volume didn't build trust. It diluted it.

What "Good Marketing" Actually Means

I used to think good marketing meant frequent marketing. That the founder who posts the most, ships the most updates, and makes the most noise is the one who wins.

That's not what good marketing is.

Good marketing is knowing when something is worth saying. It's having enough restraint to let your work accumulate before you talk about it. It's the discipline to sit with something unannounced while you make it undeniable. And only then tell people.

Think about the brands you actually respect. The ones you pay attention to. They don't post every day. They don't announce every commit. When they say something, you listen. Because they've earned that attention by not wasting it.

The companies that announce everything are the ones you stop taking seriously. The ones that announce selectively are the ones that make you lean in when they do.

It Hurts the Work Too

This is the part I didn't expect.

Constant marketing doesn't just hurt your brand. It actively damages the quality of your work. Because every hour you spend turning a small update into a public moment is an hour you didn't spend making the thing better.

I noticed this pattern in myself. I'd finish a feature and immediately start thinking about how to frame the announcement. What screenshot to use. What caption would land. What angle would get engagement. And before I knew it, I'd spent more time marketing the feature than I spent building the next one.

The marketing became a distraction disguised as productivity. I was optimizing for the appearance of progress instead of actual progress. And over time, the gap between what I was announcing and what I was actually building started to widen.

That's the real cost. When you market every small thing, you start building for announcements instead of building for quality. The dopamine of the post becomes the goal, and the work becomes the vehicle to get there. The incentives flip. And once they flip, the product suffers.

The Discipline of Silence

The hardest marketing skill I've had to develop isn't copywriting or positioning or audience strategy. It's silence.

It's the ability to build something for two weeks without saying a word about it. To resist the urge to tweet a screenshot of the progress. To let the work exist in private long enough that when it finally goes public, it actually means something.

Silence isn't absence. It's compression. You're not doing nothing. You're accumulating. You're stacking up weeks of real work, real improvements, real substance. And when you finally break the silence, the announcement carries the weight of everything you didn't say.

That's how you build a brand people respect. Not by being loud all the time, but by being quiet long enough that your words matter when they come.

So Is Good Marketing Consistent Marketing?

Maybe. But consistency doesn't mean frequency. It means showing up with intention at a pace that matches the weight of what you're saying.

Posting every day with thin updates isn't consistent. It's desperate. Posting once a month with something genuinely worth reading isn't inconsistent. It's deliberate. The rhythm should match the substance. And if the substance isn't there yet, the right move is to keep building, not to keep posting.

I'm still learning this. I still feel the pull. Every time I ship something, there's a voice that says announce it, share it, make it a moment. And sometimes that voice is right. Some things deserve to be announced. But most things deserve to be folded into something bigger, something more complete, something that earns the audience's attention instead of begging for it.

> The best marketing doesn't ask for attention. It earns it by being worth the wait.

What I'm Doing Differently

I'm slowing down the marketing. Not stopping it. Slowing it. Fewer announcements, more substance per announcement. Longer gaps between posts, more depth when I do post. Building in private more, performing in public less.

The goal isn't to disappear. It's to make every time I show up actually count. To never train my audience to scroll past me because they've seen too many mid-tier updates. To protect the weight of my own words by not spending them on things that don't deserve them.

If you're a founder reading this and you feel the same pull, the itch to announce, the need to show progress, the dopamine of the post, just know that it's a trap dressed up as strategy. The best thing you can build for your brand right now might be the discipline to shut up and keep working.

The announcements that matter most are the ones that were worth waiting for.

- MM

I am not a good developer.

I’m serious. A real developer would look at my code and wince. My folder structures are questionable. I Google things that probably should be obvious. I’ve spent entire nights debugging problems that turned out to be a missing comma. I am not writing this article from the perspective of someone who’s mastered three disciplines. I’m writing it from the perspective of someone who’s mediocre at two of them and pretty good at one.

But here’s the thing I’ve learned — and this is really the only point of this entire article: you don’t need to be great at everything. You just need to be willing to be bad at the things you’re not great at.

That willingness changed everything for me. And I think it might be the most underrated skill a founder can develop.

The Three Heads

Here’s how my brain works on any given day.

The marketer is the one I trust. I’ve been doing this since I was 10, even before I had the vocabulary for it. This is where my instincts live. Who’s the audience? What do they care about? What’s the first thing they’ll see, and will it make them stay or leave? The marketer is always asking: does this land?

The engineer is the one I was trained in. I study Automotive Engineering at McMaster. It didn’t teach me to code, but it taught me something more foundational: how to think in systems. Inputs, outputs, dependencies, feedback loops. The engineer is always asking: does this hold?

The developer is the one I’m still figuring out. I taught myself to build software because the problem demanded it, not because I had any natural ability. The developer asks the simplest question: does this ship?

Three voices. One of them confident, one of them trained, one of them faking it half the time. And somehow, that combination works better than I expected.

Why “Bad At It” Still Matters

Let me tell you a story that explains this.

When I was building Vantage, there was a moment where I needed the results from Module 2 to carry into Module 4. The marketer brain knew exactly why this mattered — if a founder defines their audience in one step and then the competitive analysis doesn’t reference that audience, the whole experience feels disconnected. The engineering brain understood it as a data flow problem — state needs to persist across modules.

But the developer brain? The developer brain had no idea how to actually do that.

So I fumbled through it. I tried three approaches that didn’t work. I read documentation I barely understood. I asked for help. I wrote ugly code that eventually did what it needed to do. A real developer would have solved it in an hour. It took me most of a weekend.

But here’s what a real developer probably wouldn’t have done: they wouldn’t have known why the data needed to flow that way. They wouldn’t have felt, in their gut, that a disconnected experience would make a founder feel like the tool didn’t understand them. They would have built a technically cleaner solution to a problem they didn’t fully feel.

> The worst version of something built by someone who understands the problem deeply is often better than the best version built by someone who doesn’t.

That’s not me defending bad code. My code is sometimes bad and I’m working on it. But it’s me saying that understanding the problem is the part that matters most, and the execution catches up over time.

The Real Advantage Isn’t Talent. It’s Translation.

When I started Olunix, I had a specific vision for how the positioning roaster should work. Not just what it should do — how it should feel. I wanted a founder to paste their URL, get a score and a brutally honest roast, and have the result be something they’d actually screenshot and send to their co-founder.

If I’d hired a developer to build that, I would have written a spec. The spec would have described the scoring, the output format, the share flow. And the developer would have built exactly what I described. But they wouldn’t have known that the roast line needs to sting just enough to be funny but not so much that it feels mean. They wouldn’t have known that the score breakdown needs to be visual enough to screenshot. They wouldn’t have known that the fix suggestions need to be specific enough that a founder could actually rewrite their headline in five minutes.

Those aren’t technical requirements. They’re marketing instincts that need to be expressed in code. And the only way to express them in code is to write the code yourself — even if you write it badly.

The real advantage of having multiple perspectives in one head isn’t that you’re good at everything. It’s that you don’t need a translator. The gap between what you mean and what gets built shrinks to zero, because you’re the one building it. The trade-off is that the build quality is lower than a specialist’s. But the intent fidelity is higher. And for early-stage products, intent fidelity matters more.

What I Actually Think About All Day

People ask what my day looks like. Here’s the honest version.

I wake up thinking about marketing. What’s the next article about? What’s the positioning angle for the thing we’re launching next? Is the homepage copy still working or has it gone stale?

By mid-morning I’m in code. Fixing something that broke. Adding a feature. Staring at an error message I don’t understand, pasting it into a search bar, reading three Stack Overflow answers, understanding one of them, and trying it. Sometimes it works. Sometimes I break something else.

By afternoon the engineer brain kicks in. I step back from the code and the copy and ask: does any of this connect? Is the system coherent? If a founder starts with the audit and works through to the playbook, does the experience feel like one continuous thing, or does it feel like seven disconnected tools duct-taped together?

And then at night I’m back to marketing. Writing. Planning. Thinking about the next move.

None of this is graceful. There’s no smooth handoff between modes. Some days the marketer brain refuses to turn off and I can’t focus on code. Some days I’m deep in a technical problem and the marketing falls behind. Some days I feel like I’m bad at all three simultaneously.

But here’s the thing — bad at all three is still more useful than great at one when you’re building alone.

The Lesson Nobody Taught Me

School doesn’t prepare you for this. Engineering school taught me to solve defined problems with defined tools. Marketing taught itself to me over years of doing it. And software development? I learned that the way everyone learns things they weren’t supposed to learn — by needing to, and refusing to let the gap in my ability be the reason the thing didn’t get built.

If there’s a takeaway here, especially for other founders who are building something as a student or doing it solo or doing it with no budget, it’s this:

You don’t need permission to be bad at the thing your project needs.

Your startup needs a website and you’re not a designer? Design it anyway. It’ll be ugly. That’s fine. Your product needs code and you’re not a developer? Write it anyway. It’ll be messy. That’s fine. Your launch needs marketing and you’re not a marketer? Market it anyway. It’ll be awkward. That’s fine.

The gap between zero and one isn’t talent. I’ve written about this before. It’s the willingness to be bad at something important for long enough that you start getting less bad. That’s the whole secret.

What I’d Do Differently

If I’m being honest, I’d tell my past self to worry less about which hat he’s wearing and more about whether the thing he’s building actually helps someone.

I spent too long early on trying to figure out my identity. Am I a marketer who codes? An engineer who does marketing? A founder? A consultant? A developer? What’s my title? What’s my lane?

The answer, it turns out, is that the lane doesn’t matter. The problem matters. And if the problem requires you to think like a marketer in the morning, an engineer in the afternoon, and a developer at night — then that’s what you do. You don’t need a title for it. You don’t need to be great at all of it. You just need to care enough about the problem to keep showing up, even in the modes where you feel like a fraud.

I still feel like a fraud when I’m writing code. Probably always will. But the thing got built. And it works. And founders use it. And that matters more than whether the code is pretty.

> Care about the problem more than your identity. The skills follow the obsession.

If you’re juggling multiple hats right now and feeling like you’re not good enough at any of them — that’s not a sign that you’re failing. That’s a sign that you’re building something real. The people who feel comfortable are the ones who stayed in their lane. The ones who feel stretched are the ones who are actually growing.

Keep going. Get less bad. Ship the thing.

- MM

If you've been following this journey, you know this has been a long time coming. If you haven't — welcome. Let me catch you up.

The Short Version

Olunix Vantage is a positioning lab for founders. Seven modules that take you through the exact same strategic process we use with our clients — from a brutal audit of your current positioning, through audience definition, go-to-market strategy, competitive differentiation, headline testing, brand identity, all the way to a complete messaging playbook — packaged into an AI-powered tool you can work through on your own, at your own pace, at a fraction of the cost.

It's live. It works. And today, it's yours.

Why This Exists

For the past year and a half, we've had a front-row seat to one of the most painful patterns in the startup world: brilliant founders with real products and zero positioning.

They'd get on a call with us. They'd explain what they built. We'd immediately see the potential. And then they'd tell us they couldn't afford an engagement right now.

> The founders who needed positioning the most were always the ones who couldn't afford it.

We tried to solve this a dozen different ways. Free content. Short strategy calls. Frameworks and templates. None of it was enough. Knowledge isn't transformation. A PDF doesn't push back when your messaging is vague. A video can't ask you "why should anyone care?"

So we built something that could.

What Vantage Actually Does

Vantage is structured around seven modules — each one building on the last — that take you from "I have no idea what to say" to a complete positioning and messaging system. Here's the full sequence.

1. The Breakdown — You paste your website URL and Vantage tears your current positioning apart. Not gently. It scores you across six dimensions, gives you a grade, tells you exactly where you're falling short, and even roasts you a little. You need to see the truth before you can fix it. This is where that starts.

2. Audience Lock — Most founders think they know their audience. They're usually half right. This module walks you through a guided process to define your single best-fit buyer persona — their role, their company, their pain context. The AI challenges your assumptions and doesn't let you leave until your audience is locked tight.

3. Strategy — Now that you know who you're talking to, this module helps you plan your go-to-market approach. Target audiences, marketing channels, budget allocation, execution model — in-house, outsourced, or hybrid. You walk out with a real plan, not a vague intention.

4. The Differentiator — Saying you're "better" isn't a strategy. This module maps your competitive landscape — direct competitors, indirect alternatives, DIY solutions, even doing nothing. You add competitors, analyze their claims against yours, and identify the specific dimensions where you genuinely stand apart. Not invented differentiators — real ones.

5. Headline Forge — Your headline is the first thing anyone reads, and most of them are terrible. This module lets you write, generate, and test headline variants. The AI scores each one on clarity, specificity, differentiation, and brevity — then compares them against your original. You leave with a headline that actually lands.

6. Brand Kit — Powered by everything you've built in the previous modules, Vantage generates a complete visual identity system. Colors, typography, button styles, spacing, motion, effects, iconography — all derived from your positioning, not pulled from a template. Your brand should look like what your product actually is.

7. The Playbook — This is where everything comes together. Vantage synthesizes all six previous modules into a complete messaging playbook: your positioning statement, strategic narrative, elevator pitches at three lengths, a homepage messaging blueprint, a sales pitch structure, competitive battle cards, and a brand voice guide with tone, words to use, words to avoid. One document your entire team can align around.

Each module feeds the next. Data flows forward automatically. By the time you reach The Playbook, every output is grounded in the strategic work you've already done — not generated from thin air.

Who This Is For

If you're a founder — especially a technical founder — and any of these sound familiar, Vantage was built for you:

Vantage isn't for everyone. It's not a magic button. It requires you to think, to be honest about your product and market, and to do the work. But if you're willing to do that, it will take you further in a few hours than most founders get in months of guessing.

What Happens Next

This launch isn't the end of anything. It's the beginning.

We're going to keep building. More modules. Deeper AI capabilities. Integrations that connect your positioning work directly to your website, your pitch deck, your sales conversations. Vantage today is version one — and version one is already more useful than anything else we've seen in this space.

But we're not building in a vacuum. We're building with founders. Every piece of feedback, every session, every "this part confused me" — it all goes back into the product. The founders who start using Vantage today aren't just early adopters. They're co-builders.

The Bigger Picture

Olunix has always been about one thing: helping founders turn great products into great businesses. Vantage doesn't replace our consulting work. It extends it. It means that every founder — regardless of budget, stage, or geography — can access real positioning methodology. Not watered-down advice. Not generic frameworks. The real thing.

> Great technology deserves great positioning. Now there's no excuse not to have it.

If you've been struggling with your messaging, if your product is better than your marketing suggests, if you're tired of guessing — try Vantage today.

We built this for you. Literally. Every module, every prompt, every interaction was designed with the founders we couldn't help in mind. Now we can.

Let's go.

- MM

I built an app.

Me. A marketer. A guy whose entire career has been about messaging, positioning, and growth strategy — not code, not databases, not deployment pipelines. I built a full-stack, AI-powered application from scratch. And it's live. And it works.

I still don't fully believe it. But let me tell you how we got here.

The Problem That Wouldn't Leave Me Alone

Over the last year and a half at Olunix, we kept running into the same conversation. Founders would reach out — early-stage, usually technical, almost always brilliant — and they'd say some version of the same thing:

"We love what you do. We can see the value. But we don't have the budget right now."

And I'd watch them leave the call and go back to guessing. Back to the generic homepage. Back to the positioning that sounds like every other startup in their category. Back to burning runway on marketing that wasn't engineered to work.

It ate at me.

> The people who needed positioning help the most were the ones who couldn't afford it.

We tried to solve it. We really did. When we were still called Growbyte, we built an entire free curriculum — the "Growbyte Media Center." Hours of content. Frameworks. Templates. The works. We thought if we couldn't serve them directly, we'd teach them to serve themselves.

It didn't work. Not the way we needed it to.

People consumed the content. Some of it was genuinely good. But consumption isn't transformation. Watching a video about positioning doesn't fix your positioning any more than watching a video about swimming teaches you to swim. There's a gap between knowledge and application, and we weren't bridging it.

We also tried short strategy calls. Thirty minutes, quick diagnostic, a few pointed suggestions. Better than nothing. But you can't rewire a founder's entire go-to-market thinking in half an hour. You can point at the problem, but you can't walk them through the solution.

So we took the media center down. Not because it was bad — because it wasn't enough. And "not enough" is worse than nothing when it gives people the illusion that they've addressed the problem.

The Idea That Wouldn't Die

Around the same time, we started working more deeply with AI startups. And something clicked.

I kept thinking: what if the solution isn't content? What if it isn't a call? What if it's a tool — something that takes a founder through the exact same process I walk clients through, step by step, but without needing me on the other end?

Not a course. Not a template. A system that actually does the work with you.

The marketer brain saw the problem clearly. The pain points of our clients. The pain points of the people who wanted to work with us but couldn't. The patterns in what worked and what didn't across dozens of engagements. I had the methodology. I had the frameworks. I had the understanding of what makes positioning click.

What I didn't have was any idea how to build software.

Nothing. That's the Answer.

My background is in marketing and engineering — the mechanical kind, not the software kind. What do I know about building apps?

Nothing. Nothing's the answer.

I didn't know what a framework was. I didn't know what an ORM was. I didn't know the difference between server-side and client-side rendering. I didn't know what a webhook was, what an API route was, or why anyone would need something called "middleware."

I'm telling you this because I think founders — especially non-technical founders — need to hear it. The gap between "I have no idea how to do this" and "I built the thing" is not as wide as it feels. It's just dark. You can't see the other side when you're standing at the edge.

> The gap between zero and one isn't talent. It's the willingness to be bad at something important for a very long time.

Chipping Away

So we started. Week by week.

The first few months were brutal. I asked many people for help — some underqualified, some overqualified. Developers, technical friends, freelancers, people who owed me favors. I'm thankful to each one of them. Every conversation taught me something. Every failed attempt narrowed the path.

I didn't talk about it publicly. For months. I didn't post about it, didn't hint at it, didn't tease it on LinkedIn. Because honestly? I didn't know if we'd ever get it done.

There were weeks where I thought we were close and turned out to be months away. There were features I thought would take a day that took three weeks. There were moments where the whole thing felt like a vanity project — a marketer playing engineer, wasting time he should've spent on client work.

But the problem kept pulling me back. Every time I got on a call with a founder who couldn't afford to work with us, I thought about the tool. Every time I saw a startup with brilliant technology and invisible positioning, I thought about the tool. The problem wouldn't let me quit.

Month by month, the thing started to take shape. The methodology crystallized into modules. The frameworks became interactive. The AI started doing what I do on calls — asking the right questions, pushing back on vague answers, forcing specificity.

The Marketer Brain Advantage

Here's the thing nobody tells you about building a product as a marketer: you already understand the user better than most engineers ever will.

I didn't approach this like a developer building features. I approached it like a strategist designing an experience. Every screen, every interaction, every piece of copy in the app — I thought about it the way I think about a client's homepage. What does this person need to feel right now? What's the next logical question? Where will they get stuck? What would I say to them if I were sitting across the table?

That instinct — the marketer's instinct for empathy, for sequencing, for knowing when someone's attention is about to break — turns out to be insanely valuable when you're building software. Most apps are built by people who understand the technology and learn the user. I understood the user and learned the technology. I genuinely think that's the better direction.

The product isn't clever because the code is clever. It's clever because the methodology is real. It comes from hundreds of positioning conversations, dozens of complete engagements, and years of watching what actually moves the needle for founders. The AI doesn't guess. It runs the same playbook I run — just faster, and available at 2 AM when a founder can't sleep because their homepage still says nothing.

It's Here

We called it Olunix Vantage.

It's a positioning lab. Five modules that take you from "I don't know what to say" to "I know exactly what to say and why." You start with an audit of your current positioning. Then you lock your audience. Then you excavate the real pains. Then you map your differentiation. Then you forge headlines that actually land.

It's the entire engagement I used to deliver over six weeks, compressed into a tool you can work through at your own pace. With AI that pushes back, asks better questions, and doesn't let you settle for generic.

The founders who couldn't afford to work with us? This is for them. At a price point that doesn't require a budget conversation. With the same rigor we bring to our full engagements.

What I Learned

Building Vantage changed how I think about everything. Not just marketing, not just technology — everything.

I learned that the line between "technical" and "non-technical" is mostly a story we tell ourselves. I learned that the hardest part of building isn't the building — it's the deciding. Deciding what to cut. Deciding what matters. Deciding to keep going when the gap between where you are and where you need to be feels infinite.

I learned that a marketer building an app isn't a contradiction. It might actually be an advantage. Because the best products aren't built by people who love technology. They're built by people who love the problem.

And I really, genuinely love this problem.

> The best products aren't built by people who love technology. They're built by people who love the problem.

If you're a founder struggling with positioning — if you know your product is good but your homepage doesn't show it — come try Vantage. It's the tool I wished existed when I started helping startups. So I built it.

- MM

My answer is almost always the same. You're not doing the wrong things. You're doing the right things without a system. And marketing without a system isn't marketing. It's expensive guessing.

This is the core insight behind what I call marketing systems engineering — and it starts with recognizing that most marketing doesn't fail because of bad execution. It fails because it was never engineered to succeed in the first place.

The Symptom Everyone Treats as the Disease

Here's the pattern I see over and over.

A startup launches. The founders know they need "marketing." So they hire someone — a freelancer, an agency, an in-house generalist. That person starts doing things. They post on LinkedIn. They launch a Google Ads campaign. They write a few blog posts. Maybe they build an email list.

Three months later, the founders look at the numbers and see… nothing coherent. Traffic is up a little. A few leads came in, but nobody can trace them to a specific action. The ad spend produced clicks but no conversions. The blog posts got some views but no pipeline.

So what do they do? They fire the marketer. Hire a different one. Try different channels. New tactics. Same result.

The problem was never the marketer. The problem was the absence of a system.

It's the equivalent of hiring a mechanic, handing them a pile of parts, and saying "make it go fast" — without a blueprint, without knowing what vehicle you're building, without even agreeing on what "fast" means. No mechanic on earth can make that work. But that's exactly what startups ask marketers to do every day.

Three Signs Your Marketing Was Never Engineered

After working with dozens of startups — mostly AI companies and technical founders — I've learned to spot the un-engineered marketing system in about fifteen minutes. Here's what it looks like.

1. You Can't Trace Revenue to Its Source

I ask every new client the same question in our first call: "Which of your marketing activities produced your last five paying customers?"

The silence that follows tells me everything.

Most startups can tell me their total revenue. Some can tell me their MRR growth rate. Almost none can connect a specific dollar to a specific marketing action. They don't know if it was the LinkedIn post from three weeks ago, the Google ad, the conference they attended, or just someone who found them organically.

This isn't a data problem. It's a system design problem. In engineering, you wouldn't build a circuit without knowing which inputs produce which outputs. That would be insane. But in marketing, it's normal. Companies spend $10,000 a month on activities they can't attribute. This is why most startups waste money on marketing — not because the money is going to the wrong places, but because nobody designed the system to track where it goes at all.

2. Every Channel Exists in Isolation

Ads don't talk to content. Content doesn't feed email. Email doesn't inform sales. Each channel operates as its own fiefdom with its own metrics, its own goals, and its own definition of success.

This is what happens when you build marketing by stacking tactics instead of designing a system. You end up with a collection of disconnected activities that don't compound. Your blog generates traffic that never converts because there's no nurture path. Your ads drive signups that never activate because onboarding isn't connected to the acquisition message. Your social presence builds awareness that never translates to pipeline because there's no mechanism to move a follower from "I've heard of you" to "I need to talk to you."

In systems engineering, this is called a failure of integration. The individual components might work fine in isolation. But the system fails because nobody designed the interfaces between them. Marketing systems engineering solves this by designing the connections first and the components second. You start with the flow, not the parts.

3. You Optimize Tactics Instead of the System

This is the subtlest and most expensive mistake. A startup sees that their ad click-through rate is low, so they test new headlines. It goes up. They celebrate. But conversions don't change. So they optimize the landing page. Conversion rate ticks up. But revenue doesn't move. Why?

Because the bottleneck was never the ad or the landing page. It was the fact that they were targeting the wrong audience. Or the positioning was off. Or the sales handoff was broken. Or the pricing page created friction that killed 60% of qualified prospects.

When you optimize a single component without understanding the system, you create what engineers call local optima — you make one part perfect while the whole system stays broken. Marketing systems engineering forces you to diagnose at the system level first. Ask where the bottleneck actually is before touching anything. Sometimes the best way to improve ad performance is to rewrite your positioning. Sometimes the best way to increase conversions is to fix what happens after someone converts.

Why This Keeps Happening

If un-engineered marketing is so common and so obviously broken, why does every startup keep falling into the same trap?

Three reasons.

Marketing is taught as a creative discipline, not an engineering one. Every marketing course, every guru, every Twitter thread focuses on tactics and creativity. Write better hooks. Make better content. Run better ads. Nobody teaches you to design the system those tactics operate within. It's like teaching someone to play individual notes without ever teaching them music theory. You can make sounds, but you can't compose anything.

The marketing industry profits from complexity, not clarity. I've written about this before. Agencies and consultants have a structural incentive to keep things opaque. If you understood the system, you'd need them less. So they sell you activities instead of architecture. Deliverables instead of design. And you keep buying because you don't know there's another way.

Technical founders don't realize they already have the skills. This is the part that kills me. I work with founders who build complex distributed systems for a living. They architect microservices, design data pipelines, think in systems every single day. Then they walk into a marketing meeting and forget everything they know. They accept "let's try LinkedIn and see what happens" from their marketing team when they'd never accept "let's deploy this service and see what happens" from their engineering team.

The engineering mindset you already have is the thing your marketing is missing. You just haven't applied it yet.

What Engineered Marketing Actually Looks Like

The shift from un-engineered to engineered marketing isn't about doing different things. It's about designing before executing.

You start with architecture, not tactics. Before you post a single piece of content or spend a dollar on ads, you map the entire system. How does a stranger become aware of you? What moves them from awareness to consideration? From consideration to purchase? From purchase to referral? What data flows between each stage? Where are the dependencies? This is Layer 1 of the marketing systems engineering framework — and it's the step that 90% of startups skip entirely.

You instrument everything. Not vanity metrics. Leading indicators at every stage. You know your conversion rate between every step. You know which inputs drive which outputs. You have thresholds that tell you when something is broken before it costs you three months and $30,000.

You build in feedback loops. Not quarterly reviews. Weekly. You run experiments, read the data, and adjust. Every week you're asking: what did we learn? What does the system-level data say? Where is the real bottleneck? This is how engineering teams build reliable software, and it's how marketing should work too.

You kill what doesn't work — fast. Engineers have kill criteria. If a test doesn't hit the threshold, you shut it down. Most marketing teams let failing campaigns run for months because nobody defined what failure looks like. Engineered marketing has explicit criteria: if this channel doesn't produce X result in Y timeframe, we stop and reallocate.

The Compounding Effect

Here's the part that makes marketing systems engineering worth every minute of upfront design work: engineered systems compound.

When your content feeds your email list, and your email list nurtures prospects into sales conversations, and those conversations are informed by the content the prospect already consumed — every piece of the system makes every other piece more effective. Your cost per acquisition drops over time. Your conversion rates improve as the system learns. Your growth becomes more predictable, more scalable, and more defensible.

Un-engineered marketing can't do this. It's linear. You put effort in, you get a result out, and the two are barely connected. Engineered marketing is exponential. The system gets smarter and more efficient the longer it runs.

This is why I tell founders: the time you spend engineering your marketing system before you execute will pay for itself ten times over. The companies that figure this out are the ones that survive the next shakeout. The ones that keep guessing are the ones that run out of money wondering why nothing worked.

Start With the System

If your marketing feels broken, it probably isn't. It was probably never engineered.

That's not a criticism. It's a diagnosis. And the good news is that the engineering framework exists. I wrote the full five-layer methodology in What Is Marketing Systems Engineering? — it's the practical playbook for building a marketing system that actually works.

But the first step isn't reading a framework. It's accepting that marketing is an engineering problem. Once you make that mental shift, everything else falls into place.

Stop hiring people to do marketing. Start hiring people to engineer growth.

- MM

I don’t mean similar. I mean if you stripped the logos off the top 50 results for "AI platform for teams," you could not tell them apart. Same hero headline structure. Same vague value prop. Same "trusted by" badge row. Same nothing.

I know this because I spend a disproportionate amount of my week reviewing startup messaging. On positioning calls, in teardowns for clients, in late-night rabbit holes where I open 30 competitor homepages and screenshot the ones that actually say something. The screenshot folder is always thin.

So I built a tool that automates the brutal first impression. The Positioning Roaster reads your homepage copy and tells you, in 10 seconds, whether your messaging would survive contact with a real buyer. It scores you, roasts you, and gives you a fix list.

Here’s why I built it that way.

The Problem This Solves

Founders don’t realize their messaging is generic until someone tells them.

That’s not a criticism. It’s a structural blind spot. When you’ve spent months building a product, you’re so close to it that everything feels specific. You know the nuance. You know what makes your approach different. The problem is that none of that nuance made it to the homepage.

What made it to the homepage is the version that got approved by three co-founders, reviewed by an advisor, softened to avoid offending any potential buyer persona, and ultimately compressed into something that could apply to literally any company in the category.

I was having the same conversation on every positioning call: "Your copy says you do X for Y, but so does everyone else. What do you actually do differently?" And then we’d spend 45 minutes excavating the real positioning that was hiding underneath the safe version.

The roaster automates that first question. It’s the brutal first impression you’re not getting from your team, your investors, or your mom.

How the Scoring Works

The tool evaluates your positioning across four dimensions:

Clarity — Can a stranger understand what you do in 5 seconds? Not what category you’re in. What you do. For whom. With what outcome. Most startups score high on category and low on specifics, which means a visitor knows you’re an "AI platform" but has no idea why they should care.

Specificity — Does your copy name a real audience, a real pain, or a real outcome? Or is it written for "businesses" who want to "streamline operations"? I’ve written about this before — specificity is the sharpest weapon in positioning. The more specific your language, the fewer people it applies to, and paradoxically, the more it converts.

Differentiation — If I pasted your headline onto a competitor’s site, would anyone notice? This is the dimension most startups fail. Not because they’re not different, but because their copy doesn’t reflect the difference. They write for the category instead of writing for the wedge.

Value Clarity — Does the visitor know what they get? Not features. Outcomes. "Automates your invoice processing" is a feature. "Close your books in 2 days instead of 12" is value clarity. The gap between those two statements is the gap between a bounce and a signup.

These four dimensions aren’t arbitrary. They’re the lenses I use in every positioning engagement. If you score above 70 on all four, your messaging is in fighting shape. If any single dimension drops below 40, you have a positioning leak that’s costing you conversions whether you know it or not.

What the AI Actually Evaluates

The roaster reads exactly two things: your headline and your meta description.

That’s it. Not your features page. Not your pricing. Not your about section. Just the copy a buyer sees in the first 5 seconds — the positioning surface area that matters most.

> The first 5 seconds of your homepage carry more weight than the entire rest of the site combined.

Why? Because buyers don’t read your website. They scan your homepage, decide if you’re relevant, and either stay or bounce. The average time-on-page for a startup homepage is under 30 seconds. If your headline doesn’t land in that window, nothing else you’ve built matters.

This is why I intentionally limited the tool’s input. I don’t want it to give you credit for having a good features page or a compelling case study buried three clicks deep. I want it to answer the only question that matters: does your homepage earn the next click?

Why Roasting Works Better Than a Checklist

I could have built this as a positioning checklist. Score yourself 1–5 on clarity. Rate your differentiation. Fill out this worksheet.

Nobody would have used it.

Checklists get bookmarked and forgotten. They’re homework. A roast is an event. A score plus a roast line is memorable and shareable. Founders actually send their results to co-founders. They post them on X. They screenshot the scorecard and put it in Slack.

The roast is the distribution mechanism. It’s the thing that makes someone engage with positioning feedback they would have otherwise ignored. I’ve seen founders get a score of 34 and immediately rewrite their homepage — not because a consultant told them to, but because the roast made it feel urgent and real.

That’s the psychology. Positioning advice is valuable but boring. Positioning feedback with a specific score and a specific burn is neither boring nor ignorable.

The Real Goal

The roast is the hook. The improvement plan is the payload.

Every result comes with three to five actionable fixes — not generic advice like "be more specific," but targeted suggestions based on what the AI actually read in your copy. It tells you what’s weak, why it’s weak, and what a stronger version would look like.

The goal isn’t humiliation. It’s clarity. Most AI startups will die with great products because they never figured out how to communicate what makes them worth choosing. The roaster is designed to compress that realization into 10 seconds so founders can actually do something about it.

If you score below 65, the tool suggests booking a positioning call. Not as a hard sell — as a triage response. If your homepage is leaking trust at that level, a rewrite from a checklist isn’t going to cut it. You need someone to help you find the angle.

If you score above 65, it points you to the headline grader to keep sharpening. Because good positioning isn’t a one-time event. It’s an ongoing refinement.

Try It

Roast your startup’s positioning. It takes 10 seconds, it’s free, and it’s more honest than anyone on your team will be.

If you want the full positioning framework behind every score, start with how to position your AI startup when everything sounds the same. That’s the long version of what the roaster does in a flash.

- MM

This will probably upset some people in the industry. Good.

The Real Economics of Marketing Consulting

Let’s start with the part nobody publishes: how marketing consulting firms actually make money.

The standard model works like this. A firm charges between $150–$400/hour, or $5,000–$25,000/month on retainer, depending on the size of the client and the prestige of the firm. That sounds reasonable until you look at what’s happening behind the curtain.

Most marketing consulting firms staff a senior partner on the pitch call and a junior associate on the actual work. The senior partner bills at $350/hour. The junior associate costs the firm $35/hour. The client is paying for expertise they’re not receiving. The person who sold you on the vision is not the person executing it.

This isn’t a secret. Anyone who’s worked inside a consulting firm knows this is standard. But nobody says it publicly because the entire business model depends on the client not examining the labor economics too closely.

And here’s where it gets worse. The most profitable client in marketing consulting isn’t the one who gets great results. It’s the one who stays the longest. That creates a structural incentive to not solve the problem too quickly. If a marketing consultant builds you a system that runs without them in month two, they just lost ten months of revenue.

I’m not saying every firm thinks this way consciously. But the incentive is baked into the model. And incentives shape behavior whether you’re aware of them or not.

The Audit-to-Retainer Pipeline

Here’s how most marketing consulting engagements actually start. It’s a four-stage pipeline, and once you see it, you’ll recognize it everywhere.

Stage 1: The Free Audit. A marketing consultant offers to review your current marketing for free. Sounds generous. It’s not. The audit is designed to do one thing: identify enough problems to justify a paid engagement. The report will always find issues. That’s the point. Nobody closes a free audit with "actually, you’re doing fine."

Stage 2: The Discovery Phase. You’re now paying $10,000–$20,000 for a "deep dive" into your business. This typically involves interviewing your team, reviewing your analytics, and analyzing your competitive landscape. The deliverable is a strategy deck. The real function of this phase isn’t to learn about your business — it’s to create enough intellectual property that you feel dependent on the firm to interpret it.

Stage 3: The Strategy Deck. This is the crown jewel of marketing consulting. A 40–80 slide presentation with frameworks, recommendations, timelines, and priorities. It looks impressive. It probably has your brand colors on it. But here’s the part I’ve written about before: most strategy decks are not designed to be self-executable. They’re designed to require the firm’s continued involvement to implement.

Stage 4: The Implementation Retainer. Having created a strategy you can’t run without them, the firm now offers to help you execute it. For $15,000/month. This is where the real revenue lives. And it’s where most clients get stuck for 6–18 months, paying for execution that they could eventually do themselves if anyone had bothered to teach them.

The total spend? Anywhere from $50,000 to $300,000 depending on the firm and the scope. The amount of infrastructure that survives after the engagement ends? In most cases, almost none.

The Template Problem

Here’s something that would be career-ending if more people talked about it: a significant percentage of marketing consulting deliverables are templated.

I’ve seen it firsthand. The same positioning framework applied to a B2B SaaS company, a DTC brand, and a healthcare startup. The same channel strategy recommended to companies in completely different markets. The same "content pillars" exercise — authority, education, entertainment, promotion — recycled so many times that it’s lost any connection to the specific business.

The marketing consulting industry calls these "proprietary frameworks." What they actually are is a reusable template with the client’s name swapped in.

Does this mean every framework is useless? No. Good frameworks are genuinely valuable. But there’s a difference between a framework that’s been pressure-tested against your specific market, product, and customer — and one that was designed to be flexible enough to apply to any company. The first is consulting. The second is a product being sold as consulting.

The tell? Ask your marketing consultant what they’d recommend differently for your company versus your closest competitor. If the answer is basically the same strategy with different messaging, you’re paying for a template.

The Vanity Metrics Game

This one drives me insane.

Marketing consulting firms need to show results to justify their retainer. But real results — revenue growth, customer acquisition cost reduction, pipeline velocity — take months to materialize and are influenced by dozens of variables the consultant doesn’t control.

So what do they do? They report on vanity metrics.

"We increased your social media engagement by 340%." Okay. How much revenue did that generate? Silence.

"Your website traffic is up 200% month-over-month." Great. Is any of it converting? Let’s talk about that next quarter.

"We generated 500 marketing qualified leads." What’s the close rate on those leads? We’ll need to check with sales.

The consulting marketing playbook is designed to show activity, not outcomes. Dashboards get built. Reports get delivered. Monthly calls happen. Everyone nods along. But the connection between the work being done and the revenue being generated is deliberately kept vague, because clarity would expose the gap.

I know this because I almost fell into this trap myself when I started Olunix. It’s easy to report on impressions because impressions always go up if you’re spending money. It’s hard to report on revenue because revenue requires the entire system to work, not just the marketing layer. The engineering approach demands you measure what matters. Most marketing consulting firms measure what’s easiest to defend.

The Dependency Loop

This is the most insidious part of the playbook, and the reason I ultimately rejected it.

Good marketing consulting should make the client stronger. Every engagement should leave the company more capable than it was before. The ideal outcome is a client who doesn’t need you anymore — one who’s internalized the strategy, built the systems, and can operate independently.

The standard marketing consulting model optimizes for the exact opposite.

The strategy is delivered in the consultant’s framework, not the client’s language. The tools are the consultant’s tools, not systems the client owns. The knowledge lives in the consultant’s head, not in the client’s documentation. When the engagement ends, the client is left with slides they can’t action, data they can’t interpret, and a gap they can only fill by hiring... another consultant.

This isn’t marketing for consulting firms. It’s consulting designed to perpetuate consulting.

I worked with a founder last year who’d been through three different marketing and consulting engagements in 18 months. Combined spend: north of $80,000. What he had to show for it: a Google Drive folder with 200+ slides across multiple decks, two Notion workspaces nobody used, and a team that was more confused about their marketing strategy than when they started.

That’s not a failure of individual consultants. It’s a failure of the model.

Why I’m Publishing This

I know what you might be thinking. "You’re in marketing consulting yourself. Isn’t this just a long pitch for Olunix?"

Fair question. Let me be honest.

Yes, I run a firm that does marketing and consulting for startups. And yes, publishing an article that exposes the industry’s worst practices is, among other things, a positioning play. I’m aware of the irony.

But here’s what I know: I’ve built Olunix specifically to be the opposite of what I’m describing. We don’t do free audits designed to manufacture urgency. We don’t create dependency loops. We don’t deliver strategy decks that require our ongoing involvement to execute. We build systems the client owns, teach the client to operate them, and measure ourselves by business outcomes, not vanity metrics.

Is our model perfect? No. I’ve been open about the lessons I’ve learned. But the principle is non-negotiable: the best marketing consultant is one who makes themselves unnecessary.

And frankly, I’m tired of watching founders get burned. The startup founders I work with are building real things with real potential, and they deserve partners who are invested in their growth, not their dependency.

What Should Replace the Old Playbook

If I were hiring a marketing consultant today — knowing everything I know about how the industry operates — here’s the playbook I’d demand instead:

1. Transparent economics. I want to know who’s doing the work, what their experience level is, and how the hours are allocated. If a senior strategist sells the engagement but a junior associate executes it, I want that disclosed upfront.

2. Ownership transfer by design. Every deliverable should be built in the client’s tools, documented in the client’s language, and designed to be operated by the client’s team. If the strategy requires the consultant to interpret it, it’s not a strategy. It’s a hostage situation.

3. Outcome-based measurement. I want to know how marketing consulting is contributing to revenue. Not impressions. Not engagement. Not "brand lift." Revenue. Pipeline. Customer acquisition cost. Retention. The metrics the CEO actually cares about.

4. Defined exit criteria. Before the engagement starts, agree on what "done" looks like. What capabilities will the client have when the engagement ends? What systems will be running independently? What does success look like in terms the client can verify without the consultant’s interpretation?

5. Skin in the game. The best marketing consulting relationships I’ve seen tie compensation to results. Not entirely — that creates its own problems. But some component of the fee should be at risk based on whether the agreed-upon outcomes are achieved. If the consultant won’t put skin in the game, ask yourself why.

This isn’t radical. It’s just honest. And the fact that it feels radical says everything about where the marketing consulting industry currently is.

The Bottom Line

The marketing consulting industry isn’t going to reform itself. The economics don’t reward reform. The firms making the most money are the ones executing the playbook I just described, and they have no incentive to stop.

So the reform has to come from the buyers. From founders and executives who stop accepting vague deliverables, opaque economics, and vanity metrics. From clients who demand ownership, transparency, and accountability.

And from the small number of people inside the industry who are willing to say what everyone already knows but nobody will publish.

This is me saying it.

If you’re a founder who’s been through this — who’s spent the money, sat through the decks, and walked away wondering what you actually got — you’re not the problem. The model is. And you deserve better than what the industry is currently offering.

- MM

I need to be upfront: this article is going to be different from what I usually write. I’ve laid the foundation on the marketing side and I’ll keep delivering there, but something about this section of the site is resonating in a way I didn’t expect, and I think it’s because people are tired of polished. They want real. So here’s real.

The Lie Nobody Corrects

There’s a narrative that gets sold constantly, in podcasts, in interviews, in every “how I made it” story you’ve ever heard. It goes like this: things were bad, then something happened, and now things are great.

The “something happened” part is always dramatic. A chance encounter. A single decision. A moment of clarity at 3 AM that rewired everything. And it makes for a great story. But it’s a lie. Not intentionally — most people genuinely believe their own turning point narrative. But when you actually break it down, the “moment” they point to was just the first time they noticed something that had been building for months.

Nobody gets saved by a moment. You get saved by a pattern.

I know this because I lived the opposite of that narrative. And I want to tell you about it honestly, not because my story is special, but because I think the honest version is more useful than the cinematic one.

Two Summers Ago

I’ve written before about the COVID season — the period where I was doing nothing with my life and had to claw my way out. But here’s the thing nobody tells you about clawing your way out: it doesn’t mean you stay out.

Two summers ago, I was back in a version of that place. Different circumstances, same weight. School wasn’t going well. Not the kind of “not well” where you fail a class and figure it out — the kind where you sit in a lecture and genuinely cannot connect what you’re doing to anything that matters to you. The kind where you start to wonder if the problem isn’t the situation but you.

And maybe worse than feeling it myself, I could tell the people around me felt the exact same way about me. That’s the part that doesn’t get talked about enough. When the people who love you start looking at you like they’re worried — that changes the way you see yourself. You start viewing yourself through their concern. And that concern becomes a mirror you can’t stop looking into.

There was one song I played on repeat during that time. The whole message was just “it gets better.” Over and over. I wanted so badly to believe it. But I can vividly remember sitting in one of our campus library basements, headphones in, trying to let those words land — and they just wouldn’t. The gap between hearing “it gets better” and actually feeling it was the widest distance I’ve ever experienced.

Why “It Gets Better” Isn’t Enough

Here’s my issue with that phrase, and with most of the advice people give when you’re in a hard season: it’s passive. “It gets better” implies that you wait, and eventually the weather changes. Like you’re standing in the rain and someone tells you the sun is coming.

That’s not how it works. It doesn’t just “get” better. You make it better. In increments so small they feel like nothing.

And I know — I know — that’s not the answer you want when you’re sitting in the basement. You want the lightning bolt. You want the one conversation, the one realization, the one decision that flips everything. I wanted that too. It didn’t come.

What came instead was a Tuesday where I studied for 20 more minutes than the day before. A Wednesday where I went to the gym instead of staying in bed. A Thursday where I had an honest conversation I’d been avoiding for weeks. None of those things felt significant. None of them felt like progress. They felt like survival.

But here’s what I’ve come to understand, and this is the thing I wish someone had told me when I was in it: survival IS the progress. The days where all you did was not quit? Those are the days that built the foundation for everything that came after. You just can’t see the foundation while you’re still pouring it.

The Compound Effect Nobody Talks About

People love talking about compound interest when it comes to money or business. Small investments, consistent deposits, exponential growth over time. Everyone gets that.

But nobody applies the same logic to their own life when they’re struggling.

Every day you choose to keep going — even poorly, even slowly, even when it feels pointless — you’re making a deposit. And just like compound interest, the early deposits feel worthless. You put in effort and see nothing. You make a change and feel no different. You push through a hard day and wake up the next morning to the same problems.

That’s not failure. That’s the accumulation phase. And the accumulation phase is where most people quit, because the returns are invisible.

I almost quit. More than once. Not in the dramatic way — I wasn’t going to do anything drastic. In the quiet way, where you just slowly stop trying and convince yourself that coasting is fine. That mediocrity is acceptable. That “good enough” is good enough.

It’s not. And deep down, if you’re reading this, you know it’s not. The fact that the gap between where you are and where you want to be bothers you is the single greatest indicator that you’re not done. Apathy is the real enemy. Not struggle. If you still care, you still have everything you need.

What Actually Pulled Me Through

I want to be honest about something that I know not everyone will relate to, but I’d be dishonest if I left it out.

My faith carried me through the parts that discipline couldn’t. There were mornings where the only reason I got up was a conviction that I was put here to do something that I hadn’t done yet. Not a feeling — feelings were unreliable during that season. A conviction. The kind that sits underneath your emotions, quieter than them, but stronger.

I’m not going to tell you what to believe. That’s not what this is. But I will tell you that every person I’ve ever met who made it through a genuinely dark season had something anchoring them that went deeper than logic. For me, it was God. For you, it might be family, or a promise you made to yourself, or a version of your future that you refuse to let go of.

Whatever it is — hold onto it with everything you have. Because the world will give you a thousand rational reasons to quit. You need at least one irrational reason to keep going.

The Thing Nobody Tells You About the Other Side

Here’s what I want you to know, from someone who’s standing on the other side of the season you might be in right now.

When you get through it — and you will — you won’t just feel relief. You’ll feel something deeper than that. You’ll feel a quiet, unshakeable confidence that comes from knowing you’ve already survived the thing you were most afraid of. And that confidence doesn’t go away. It becomes the foundation for everything you build next.

The company I’m building, the work I’m doing with startups, the fact that I can sit here and write this at all — none of it exists without that library basement. Not because the suffering was some romantic prerequisite. But because the decision to keep going inside the suffering is what built the person capable of doing all of this.

You don’t become who you’re meant to be by avoiding the hard seasons. You become that person by refusing to stop moving through them.

If You’re in It Right Now

I’m not going to give you a five-step framework. I’m not going to tell you to journal or meditate or “reframe your mindset.” You’ve heard all of that. Here’s what I’ll actually say:

Do one thing today that your future self will thank you for. Just one. It doesn’t have to be big. It doesn’t have to feel meaningful. It just has to be slightly better than doing nothing.

And then do it again tomorrow.

That’s it. That’s the whole strategy. It’s not viral. It doesn’t fit on a motivational poster. But it’s the truth. And it’s the thing that actually works when nothing else does.

You are not behind. You are not broken. You are in the accumulation phase of a life that hasn’t shown its returns yet. Keep depositing.

You are loved. And the fact that you’re still here, still reading, still caring — that tells me everything I need to know about where you’re headed.

- MM

That's why I've spent the last few years developing what I call marketing systems engineering — a discipline that applies engineering principles to the way startups build, measure, and scale their marketing.

This isn't a buzzword. It's a methodology. And it's how we approach every engagement at Olunix.

What Is Marketing Systems Engineering?

Marketing systems engineering is the practice of designing marketing strategies as integrated systems rather than isolated campaigns. It borrows directly from systems engineering — the interdisciplinary field focused on designing and managing complex systems over their life cycles.

In traditional systems engineering, you don't just build a component. You design the entire system: inputs, processes, outputs, feedback loops, failure modes, and optimization cycles. You think about how every part interacts with every other part.

Marketing systems engineering applies exactly the same thinking to growth.

Instead of asking "What content should we post this week?" a marketing systems engineer asks:

When you look at marketing this way, you stop treating it as a creative exercise and start treating it as an engineering problem. And engineering problems have engineering solutions: systematic, measurable, repeatable.

Why This Matters for Startups

Most startups fail at marketing not because they lack creativity, but because they lack systems.

I've seen this pattern dozens of times. A founder hires a freelancer to run ads. The ads generate some clicks but no conversions. They try content marketing. Get some traffic but no leads. They hire an agency. Spend $10,000/month and can't tell you what's working. Each tactic exists in isolation. Nothing connects. Nothing compounds.

The marketing systems engineering approach solves this by forcing you to design the entire system before optimizing any individual component. You wouldn't build an engine by perfecting the pistons before designing the combustion chamber. Why would you perfect your ad copy before designing your conversion system?

The Marketing Systems Engineering Framework

Here's the actual framework I use with startups at Olunix. It has five layers, and they must be built in order.

Layer 1: System Architecture

Before you do anything, map your growth system end-to-end. This means documenting:

This is the blueprint. You can't optimize what you haven't mapped.

Layer 2: Instrumentation

Engineers don't guess whether a system is working. They measure it. Marketing systems engineering requires the same rigor.

At this layer, you define:

Most startups skip this entirely. They have Google Analytics installed and think they're data-driven. That's like putting a speedometer on a car and thinking you've built a telemetry system.

Layer 3: Channel Engineering

Only after you've mapped the system and instrumented it do you start selecting and building channels. And you approach channels like an engineer, not a marketer:

This is where most startups waste money on marketing — they skip straight to channel execution without the systems thinking.

Layer 4: Optimization Loops

This is where engineering and marketing truly converge. You build systematic optimization into every part of the system:

Layer 5: Scaling & Resilience

Once your system is working, you engineer it for scale and resilience:

The Engineering Mindset Is the Advantage

I studied Automotive Engineering at McMaster before building Olunix. People used to ask how engineering relates to marketing. Now they don't. The companies I work with, mostly AI startups and technical founders, get it immediately. They think in systems. They expect their marketing partner to think the same way.

Marketing systems engineering isn't about removing creativity from marketing. It's about giving creativity a structure to operate within. The best engineers are deeply creative. They just channel that creativity through rigorous frameworks. Marketing should work the same way.

If you're a founder who's frustrated with marketing that feels random and unmeasurable, it's because you've been doing marketing without engineering. Try building the system first. Then optimize.

The results speak for themselves.

- MM

I pulled it up. Clean design. Professional. The hero section read: "We use AI to help businesses make better decisions, faster."

I asked him to close his eyes and tell me, without looking, what three of his competitors’ websites said.

He couldn’t. But I could. Because I’d looked at all of them that morning. Two of the three had nearly identical headlines. The third swapped "decisions" for "insights." Same thing dressed differently.

This founder had built genuinely differentiated technology. A novel approach to data synthesis that his competitors hadn’t figured out. But you’d never know it from anything a potential customer would actually see or read. His positioning made him invisible.

And he’s not an outlier. He’s the norm.

The Positioning Crisis Nobody’s Naming

There are over 17,000 AI startups in the United States alone. Globally, that number is closer to 70,000. And here’s the problem that keeps me up at night: the vast majority of them describe what they do in nearly identical language.

"AI-powered." "Intelligent automation." "Actionable insights." "Data-driven decisions." These phrases have been used so many times that they’ve become semantic wallpaper. They don’t mean anything to the person reading them. They just signal "we’re an AI company," which in 2026 is like saying "we use electricity." It’s table stakes, not a differentiator.

April Dunford, who literally wrote the book on positioning, puts it this way: most companies default to describing their category ("we’re an AI analytics platform") instead of their value ("we catch revenue leaks your finance team doesn’t know exist"). The first tells someone what you are. The second tells someone why they should care. And in a world drowning in AI companies, "what you are" is worthless.

The data backs this up. A study of B2B SaaS landing pages found that 78% of AI companies lead with technology-centric messaging — what the product does — rather than outcome-centric messaging — what it changes for the customer. Among those technology-centric companies, the average time-on-page was 37 seconds. Among the outcome-centric ones? Two minutes and twelve seconds.

People stay when you talk about them. They leave when you talk about yourself.

Why Positioning Is Uniquely Hard for AI Companies

I’ve worked with startups across different verticals, and I can tell you that positioning an AI company is structurally harder than positioning almost anything else. Here’s why.

The technology is invisible. If you’re selling a physical product, people can see it, touch it, evaluate it intuitively. If you’re selling traditional software, people can at least screenshot the interface and understand what it does. But AI? The thing that makes your product special is a model running on a server somewhere. You can’t hold it. You can’t demo it in a way that feels tangible. And explaining why your model is better than the competitor’s model requires a level of technical literacy that most buyers don’t have and shouldn’t need.

The benefits are abstract. "Better predictions." "Faster processing." "More accurate results." These are real, meaningful improvements. But they’re hard for a buyer to feel. They don’t have an emotional weight until you connect them to a specific moment in the buyer’s day — the moment they realize the forecast was wrong, the moment the report takes four hours instead of ten minutes, the moment a customer churns and nobody saw it coming.

Everyone claims the same capabilities. This is the biggest one. When every competitor can plausibly claim to use AI, when every pitch deck has a slide about machine learning, and when the underlying foundation models are increasingly commoditized — the technology claim stops differentiating. I’ve written about this before: in a world where anyone can build anything, what you built stops being special. What becomes special is why you built it, who you built it for, and how deeply you understand the problem.

The Positioning Framework I Use With Every AI Startup

I’m going to share the actual framework we use at Olunix when positioning AI startups. Not the theoretical version — the real one.

Step 1: Kill the Category Label

The first thing I do with every client is remove the category label from their messaging. If you’re leading with "AI-powered [category] platform," you’ve already lost. You’re asking the buyer to do the work of figuring out why you’re different from the other 200 AI-powered [category] platforms.

Instead, lead with the transformation. What changes in the customer’s world when they use your product?

Not "AI-powered customer analytics." Instead: "See which customers are about to leave before they know it themselves."

Not "Intelligent document processing." Instead: "Your legal team reviews contracts in minutes, not days."

The category label is for your internal strategy documents and your Crunchbase profile. It’s not for the human being deciding whether to give you 30 more seconds of attention.

Step 2: Find the Real Enemy

Every great position is against something. Not necessarily a competitor — something bigger.

Salesforce positioned against software itself ("No Software"). Slack positioned against email ("Be Less Busy"). Apple positioned against conformity ("Think Different").

For AI startups, the enemy is almost never another AI company. It’s a behavior. A workflow. A way of doing things that the customer has accepted as normal but secretly hates.

When I work with an AI startup, I ask the founder one question that often catches them off guard: "What is your customer’s most embarrassing workaround?"

That workaround — the spreadsheet they maintain manually, the process that requires three people and two hours for something that should take ten minutes, the meeting that exists only because two systems don’t talk to each other — that’s your enemy. Name it. Make the customer feel seen. Show them you understand the specific, human absurdity of what they’ve been living with.

That resonates more than any amount of "AI-powered" copy ever will.

Step 3: Pass the "Only We" Test

Here’s a simple litmus test I run on every positioning statement we write: can your competitor say the exact same thing?

If yes, it’s not positioning. It’s wallpaper.

Real positioning passes the "Only We" test. It articulates something that is genuinely, structurally true about your company and not true about anyone else.

"Only we" can mean a lot of things:

The key word is specific. Generality is the enemy of positioning. The tighter your claim, the more it resonates with the exact right person — and the more it repels the wrong person. That repulsion is a feature, not a bug. If your positioning appeals to everyone, it means nothing to anyone.

Step 4: Anchor to a Moment, Not a Market

This is the one that most founders miss, and it’s the one that makes the biggest difference.

Don’t position against a market. Position against a moment.

A "moment" is the specific situation in the buyer’s life when the pain is sharpest. It’s not "healthcare administrators" — it’s "the moment a billing coordinator realizes at 4:55 PM that a claim was denied for the third time this week and she has to start the appeal process again from scratch."

When you nail that moment, the buyer feels it in their chest. They think: "This company understands what my Tuesday actually looks like."

That’s when trust begins. Not when you show them a feature comparison chart. Not when you cite your benchmarks. When they feel understood at a specific, visceral, human level.

I’ve talked about this in the context of founder-led content, but it applies even more directly to positioning. The best positioning feels like someone reached into the buyer’s brain and described a frustration they’d never articulated out loud.

Step 5: Make the Founder the Proof

In AI specifically, there’s a credibility problem that most startups underestimate. Buyers have been burned. They’ve been promised AI that would change everything and received a ChatGPT wrapper. The trust deficit is real.

The most effective way to bridge that gap isn’t a case study or a testimonial. It’s the founder.

When the founder can explain, in their own words, why they left their previous role to solve this specific problem — when they can tell you about the exact conversation or experience that made them realize this had to exist — that story becomes the most powerful positioning asset the company has.

Because it answers the question the buyer is actually asking, which isn’t "does this work?" It’s "do these people actually get my problem, or are they just building what they think is cool?"

This connects directly to why founder-led content is so powerful right now. The founder’s story isn’t separate from the positioning. It is the positioning.

The Companies Getting This Right

Let me be concrete about what good AI positioning looks like in practice.

Cursor doesn’t position as "AI-powered code editor." They positioned as "the editor built for the way programmers actually think." Their entire product experience is designed around the fact that coding isn’t about typing — it’s about reasoning. That understanding of their user’s mental model, not their feature set, is what drove them to $500 million in ARR.

Harvey doesn’t position as "AI for legal." They positioned around a specific frustration: lawyers spending 60% of their time on work that doesn’t require legal judgment. That specificity — not "we help lawyers" but "we eliminate the parts of lawyering that lawyers hate" — is what made top law firms pay attention.

Notion AI didn’t position as another AI writing assistant. They positioned around the moment: "You have a messy page of notes from a meeting. What if it became a structured document in ten seconds?" That moment-based positioning makes the value immediate and tangible.

In every case, the positioning starts with the human, not the technology.

What Happens When You Get Positioning Wrong

I want to be direct about the stakes because I don’t think most founders take this seriously enough.

Bad positioning doesn’t just mean lower conversion rates. It means:

Your sales team can’t sell. If your positioning is generic, every sales conversation starts from zero. Your reps have to manually differentiate you in every call because the marketing isn’t doing it for them. That’s expensive and it doesn’t scale.

Your content doesn’t compound. Good content needs a clear strategic position to anchor to. Without it, every blog post, every social media update, every email is a disconnected piece of noise. With clear positioning, every piece of content reinforces the same idea and compounds over time.

You attract the wrong customers. Generic positioning attracts generic interest. You end up with a pipeline full of people who aren’t a great fit, which wastes your sales team’s time and leads to higher churn. The irony of broad positioning is that it actually narrows your viable market by diluting your appeal to the people who would genuinely love you.

You can’t charge what you’re worth. When the buyer can’t see why you’re different, they default to comparing you on price. Undifferentiated companies get commoditized. Strongly positioned companies command premiums. This is the same dynamic I see when startups waste money on marketing — they try to outspend the positioning problem instead of solving it.

How I Think About This Differently

My background in automotive engineering taught me something that directly applies here: in engineering, tolerances define what makes a part fit. Too loose, and it rattles. Too tight, and it won’t assemble. The precision has to match the function.

Positioning works the same way. Too broad, and you rattle around in the market — nobody knows exactly where you fit. Too narrow, and you can’t assemble a viable business around it. The art is in finding the specificity that’s tight enough to resonate but wide enough to grow into.

Most AI founders err on the side of too broad because they’re afraid of excluding potential customers. But here’s the counterintuitive truth: the narrower your positioning, the faster you grow. Because every piece of your go-to-market machine — your content, your ads, your sales conversations, your product roadmap — becomes more efficient when everyone in the company can articulate exactly who you’re for and why you exist.

Broad positioning creates internal confusion. Narrow positioning creates alignment. And alignment is the most underrated growth lever in business.

Where to Start

If you’ve read this far and you’re looking at your own website thinking "we might have a positioning problem," here’s what I’d do:

1. Write down what your three closest competitors say on their homepage. If yours sounds similar, you have a positioning problem.

2. Ask five customers why they chose you. Not in a survey. On a call. Let them talk. The language they use to describe your value is almost always better than the language on your website. They’ll tell you something you didn’t know was important.

3. Find your moment. What was happening in your customer’s day the minute before they decided to look for a solution? That’s your positioning anchor.

4. Kill every piece of jargon. If a sentence would make sense on a competitor’s website, it shouldn’t be on yours. Rewrite until it’s unmistakably you.

5. Test it with someone who doesn’t know your industry. If your mom can understand why your company matters after reading your homepage, you’re close. If she can’t, you’re still hiding behind jargon.

Positioning isn’t a one-time exercise. It evolves as your market matures, as your product develops, and as you learn more about your customers. But getting the foundation right — knowing who you’re for, what you’re against, and why only you can deliver this — is the single highest-leverage thing an AI startup can do before spending a dollar on marketing.

I’ve said before that your product is not your moat. Your positioning might be. Because in a sea of 70,000 AI companies, the ones that survive won’t be the ones with the best technology. They’ll be the ones who made one person feel like this was built specifically for them.

That’s the work. It’s hard. It’s deeply human. And it matters more than anything else you’ll do this year.

- MM

He called me because after eight months of being live, he had 340 users. Not 340,000. Not 34,000. Three hundred and forty.

His investors were getting nervous. His burn rate was $180K a month. And when I asked him what his go-to-market strategy looked like, he pulled up a Notion doc with the word "PLG" at the top and nothing underneath it.

He wasn’t stupid. He wasn’t lazy. He’d built something genuinely good. But he was about to become a statistic — and not because of the product.

The Graveyard Is Full of Great Products

Here’s something the tech world doesn’t want to hear: the AI startup graveyard isn’t filled with companies that built bad products. It’s filled with companies that never figured out how to make someone care.

The numbers are staggering. AI startups raised a record $238 billion in total funding during 2025 — 47% of all venture capital activity on the planet. The San Francisco Bay Area alone captured $122 billion. Money is not the problem.

But the failure rate for AI startups sits at 90%, significantly higher than the ~70% for traditional tech companies. And here’s the part that should terrify every technical founder reading this: 42% of them fail due to insufficient market demand. Not insufficient technology. Not insufficient funding. Insufficient demand.

They built it, and nobody came.

I think about this constantly. Because I work with AI startups every day, and I keep seeing the same pattern. Brilliant engineers who can build anything, who genuinely believe — and are often right — that their product is better than the competition. And they’re slowly dying anyway.

Everyone Can Build Now. That’s the Problem.

There’s a term that’s gone mainstream this year: vibe coding. The idea that you can describe what you want to build in plain English and AI handles the implementation. Non-technical founders are shipping paid products in two to four weeks. 92% of developers use AI coding tools daily. 41% of all code written globally is now AI-generated.

A solo founder named Marc Lou built a product in a single day using AI tools that generated more monthly revenue than his previous three projects combined. He shipped 16 products in two years and hit $50K a month.

This is incredible. It’s also the single biggest threat to every AI startup that thinks their technology is their moat.

Because here’s what vibe coding actually means for the market: the cost of building just dropped to near zero. When anyone can build anything, the thing you built stops being special. The barrier to entry that used to protect technical founders — "we can build this and you can’t" — is evaporating in real time.

Google’s VP of startups said it plainly last week: two types of AI startups are facing extinction — LLM wrappers and AI aggregators. "If you’re really just counting on the back-end model to do all the work and you’re almost white-labeling that model, the industry doesn’t have a lot of patience for that anymore."

The golden age of "raise money, figure it out later" is over. Welcome to the era of "figure it out, then raise money." And "it" isn’t the technology. It’s everything that happens after you build it.

The Trust Collapse Nobody’s Talking About

While founders were heads-down building, something happened to the world they’re trying to sell into. Trust collapsed.

Merriam-Webster named "slop" the 2025 Word of the Year — defined as digital content of low quality produced in quantity by artificial intelligence. A study of 65,000 URLs found that 52% of newly published articles are now AI-generated. YouTube deleted 16 AI slop channels totaling 4.7 billion views. Bandcamp banned AI-generated music entirely.

And the consumer response has been brutal. 97% of consumers say authenticity is a key factor in their decision to support a brand. 48% feel that heavy reliance on AI content reduces authenticity. And here’s the number that keeps me up at night: despite billions spent on AI-powered personalization, the percentage of consumers who say brands "don’t get them" jumped from 25% to 40% in a single year.

Read that again. We have more personalization technology than ever, and people feel less understood.

This is the environment your AI startup is launching into. A market drowning in AI-generated noise, where consumers are actively developing antibodies against anything that feels automated, mass-produced, or inauthentic. Where the word for AI content is literally a synonym for garbage.

And most AI startups’ go-to-market strategy is… more AI content.

The Real Moat

I’ve been thinking about this a lot, and I want to be precise about what I mean because I think this is the most important thing I’ve written.

I’ve talked before about how engineering thinking applies to marketing. About how the best marketing is a system, not a campaign. I still believe that. But I think the game has shifted underneath all of us, and the implications are bigger than most people realize.

In a world where AI can build the product, write the content, generate the ads, and automate the outreach — the only thing it can’t replicate is genuine human understanding of what makes people care.

That’s not a marketing platitude. It’s a structural argument about where value lives in the AI economy.

Think about it like this. There are now four layers to any AI startup:

1. The technology layer — the model, the infrastructure, the product itself.
2. The distribution layer — how people find out about you.
3. The trust layer — why people believe you’re worth their time.
4. The meaning layer — why people actually care.

Most startups pour everything into layer one and hope layers two through four just happen. They don’t. They never have. But in 2024, you could still brute-force distribution with enough funding and a decent growth hack. In 2026, the noise floor is so high and trust is so low that brute force doesn’t work anymore.

The startups that are winning right now — Cursor at $500M ARR, Harvey at $195M — didn’t just build great products. They built movements. They created genuine communities of people who identified with the product. Who felt like the company understood their specific pain at a level no one else did. Who became evangelists not because they were incentivized to, but because the product felt like it was made for them.

That’s not technology. That’s not even traditional marketing. That’s empathy at scale. And it’s the hardest thing in the world to manufacture.

Why I Think About This Differently

I didn’t come to marketing through a marketing degree or a FAANG growth team. I came through building things and breaking them and rebuilding them 30 times until they felt right. I came through studying automotive engineering and realizing that the same systems thinking that makes an engine efficient makes a go-to-market strategy work.

But more than that, I came through being the person nobody was supposed to bet on. An immigrant kid from Egypt who moved to Canada at eight, studied engineering, and somehow ended up building a marketing firm while still in school. I know what it feels like to have something genuinely valuable to offer and have absolutely no idea how to make the world see it.

That’s the same feeling I hear on every call with an AI founder. "Our product is better. Why aren’t people using it?"

Because better doesn’t win. Better that people know about, trust, and feel connected to wins. And the gap between those two things is where most startups go to die.

The Agency Reckoning and What Comes After

This problem is compounded by the fact that the traditional marketing infrastructure is collapsing. Forrester predicts a 15% reduction in agency jobs in 2026. Omnicom just completed a $13 billion acquisition of IPG and immediately announced they’d cut $1.5 billion in costs, primarily through eliminating 4,000 positions. Entire legacy agency networks — FCB, MullenLowe, DDB — are being retired or absorbed.

The marketing agency model that existed for 50 years is dying. And what’s replacing it isn’t "AI agencies." It’s something that doesn’t have a name yet.

Here’s what I think it looks like: small, senior-led teams that combine strategic thinking with actual implementation. Teams that don’t just hand you a strategy deck but build the system alongside you. Teams that understand AI well enough to use it as infrastructure, not as a replacement for thinking.

I’ve written about why I changed Olunix’s model from traditional consulting to something that looks more like embedded systems engineering. That decision feels more right every month. Because what AI startups need isn’t more consultants or more agencies. They need someone who can sit at the intersection of product, market, and human psychology and build a bridge between them.

The Founder-Led Content Revolution

There’s one bright spot in all of this, and it’s worth paying attention to.

Creator content now outperforms brand-created content by 2.7x in controlled tests. 81% of marketers report that creator content outperforms brand assets. And the fastest-growing category isn’t influencer content — it’s founder-led content. Founders explaining tough decisions. Founders sharing real numbers. Founders being honest about what’s working and what isn’t.

The data is telling us something profound: people don’t want to hear from brands. They want to hear from humans.

And for AI startup founders, this is simultaneously the best news and the worst news possible. Best, because you have a massive distribution advantage just by being a real person with a real story building something you actually believe in. Worst, because most technical founders would rather debug a memory leak at 3 AM than post on LinkedIn.

But here’s the thing. The same way I argue that good content wins the trust game, founder-led content isn’t just a marketing tactic. It’s the only reliable way to build the trust layer in a world where everything else feels fake.

When you, the founder, explain why you built what you built, who it’s for, and what problem kept you up at night — that cuts through the noise in a way no AI-generated blog post or automated email sequence ever will. Because it’s real. And in 2026, real is the rarest commodity on the internet.

What I’d Tell Every AI Founder Right Now

I’m going to be direct because I think this matters.

1. Your product is not your moat. It might have been two years ago. It’s not anymore. When the cost of building approaches zero and every week brings a new competitor built by a solo founder with Cursor and a weekend, the technology stops being the differentiator. Your understanding of your customer, your ability to articulate why you exist, and the trust you’ve built with your market — that’s the moat.

2. Stop outsourcing your voice. Every AI founder I talk to wants to hire someone to "do the content." I get it. You’re busy. You’d rather be building. But the content that moves markets doesn’t come from a content agency. It comes from you. Your perspective. Your story. Your conviction. Nobody can outsource that.

3. Build the system before you scale the spend. I’ve seen too many startups go from $0 to $50K/month in ad spend without understanding their unit economics, their conversion path, or their retention mechanics. That’s how startups waste money on marketing. Build the machine first. Understand every step from awareness to activation. Then pour fuel on it.

4. Talk to your users like they’re humans, not personas. The biggest disconnect I see is founders who can describe their ICP in perfect marketing jargon but can’t tell me what their customer was doing the moment before they realized they needed this product. That moment — that specific, human, emotional moment — is where all great marketing starts.

5. Accept that this is your job now. Go-to-market isn’t a department you hire later. It’s a founder responsibility from day one. The best technical founders I’ve worked with are the ones who treated market understanding with the same rigor they applied to their codebase. It’s a system. It can be learned. It can be engineered. But it cannot be ignored.

The World Doesn’t Need More AI Products

I want to end with something that might sound contradictory coming from someone who works with AI startups for a living.

The world doesn’t need more AI products. We have plenty. What the world needs are people who can take genuinely transformative technology and make it mean something to real humans with real problems.

We need builders who understand that the gap between "this works" and "people use this" is not a marketing budget. It’s empathy. It’s storytelling. It’s the deeply human work of understanding what someone else needs and showing them you’re the one who gets it.

$238 billion went into AI last year. Most of it will be wasted. Not because the technology wasn’t good enough, but because the people behind it never learned the hardest skill in business: making someone who doesn’t know you, trust you enough to try.

That’s the work I do. That’s the work I believe in. And I think it’s the most important work in the AI economy right now.

If you’re building something real and you feel like the world hasn’t noticed yet — you’re not alone. And you’re not wrong that it’s hard. It is hard. It’s the hardest part. But it’s also the part that separates the companies that become footnotes from the ones that become forces.

The technology is handled. The funding exists. The only question left is: can you make people care?

I think you can. But not by building louder. By building closer.

- MM

He wasn’t angry. He was tired. He’d spent over $40,000 on marketing consulting and couldn’t point to a single system that was still running. Every engagement followed the same arc: big promises, a flurry of activity, some slides, and then… nothing. No infrastructure left behind. No process he could repeat. Just a Notion board full of "strategic recommendations" that nobody acted on.

"I don’t even know what marketing consulting is supposed to deliver anymore," he told me.

I didn’t have a quick answer. Because honestly? He’s not wrong to be confused.

The Marketing Consulting Industry Has an Accountability Problem

Here’s something most marketing consultants won’t tell you: a significant portion of what gets sold as marketing consulting is just organized opinion.

Someone with a nice LinkedIn profile shows up, interviews your team for two weeks, delivers a strategy deck, and invoices you. The deck has good ideas. It might even have great ideas. But ideas without implementation are just overhead.

The dirty secret of marketing consulting is that most consultants are incentivized to diagnose, not to fix. Their business model depends on you needing more consulting. If they actually built a system that ran without them, they’d lose the retainer.

I’m not saying every consultant operates this way. Some are exceptional. But the structure of the industry — diagnosis separated from execution — creates a misalignment that most clients don’t see until they’ve already spent the budget.

How I Learned This the Hard Way

When I started Olunix, I modeled our work after what I thought marketing consulting was supposed to look like. We’d do the research. Build the strategy. Present the deck. Hand it over.

And then I’d watch it collect dust.

It didn’t matter how good the strategy was. If the founder didn’t have the team, the time, or the technical ability to execute it, the strategy was worthless. We’d delivered exactly what was promised, and the client still didn’t get results.

That ate at me. Because I didn’t get into this to deliver decks. I got into it to help companies grow.

So I changed the model. Instead of just consulting, we started building. Instead of handing over strategy, we’d implement it alongside the client. Instead of billing for recommendations, we’d own the outcome.

It felt risky at the time. Now it feels obvious.

The Missing Piece: Systems, Not Campaigns

Here’s where my engineering background changes the conversation.

Most marketing consulting operates at the campaign level. "Run this ad. Post this content. Try this channel." Campaigns are one-off efforts. They produce spikes, not growth curves.

What most companies actually need isn’t a better campaign. It’s a better system. A repeatable, measurable machine that turns attention into customers. That’s not marketing consulting in the traditional sense. It’s closer to marketing systems engineering — applying the rigor of engineering to the chaos of marketing.

When we work with a client now, we don’t start with "what should we post?" We start with:

Then we build. Test. Measure. Iterate. Just like engineering a product.

The result isn’t a strategy deck. It’s a system that keeps running whether we’re involved or not. That’s the standard marketing consulting should be held to — but rarely is.

What to Actually Look for When Hiring

If you’re considering hiring a marketing consultant — or a firm that does marketing and consulting — here’s the framework I’d use:

1. Ask what you’ll own when the engagement ends. If the answer is "a strategy document," be cautious. You want systems, templates, and processes that your team can operate independently. The best marketing consultants make themselves unnecessary.

2. Ask how they measure success. Vague metrics like "brand awareness" or "engagement" without clear definitions are a red flag. Good marketing consulting ties back to business outcomes: leads, revenue, retention. The numbers should be specific enough to hold someone accountable.

3. Ask about implementation. Strategy without execution is expensive thinking. Find out whether they’ll help you build the thing, or just tell you what to build. The gap between those two is where most consulting engagements die.

4. Ask for their failure stories. Anyone who claims a 100% success rate is either lying or hasn’t taken on hard enough problems. The best consultants have learned from engagements that didn’t work. I’ve talked about my own lessons openly. The ones who can’t tell you what went wrong probably haven’t interrogated their own process.

5. Look at how they think, not just what they’ve done. Case studies matter. But more important is whether their mental model matches the complexity of your problem. A consultant who thinks in systems will serve you differently than one who thinks in tactics.

The Founder From the Coffee Shop

That founder I mentioned at the beginning? We ended up working together.

We didn’t start with a strategy deck. We spent the first two weeks inside his analytics, his CRM, and his product data. We found that 60% of his marketing spend was going to a channel that produced leads who never converted past the first call. Nobody had connected those two data points because the previous consultants looked at marketing metrics and sales metrics separately.

We cut the wasted spend, redirected it to two channels that his own data said were working, and built a lead nurture sequence that actually matched his sales cycle. Within three months, his pipeline had doubled on a lower total budget.

Nothing we did was revolutionary. It was just rigorous. It was engineering applied to marketing. And it’s the kind of result that marketing consulting should deliver every time — but usually doesn’t.

The Real Question

The marketing consulting industry isn’t broken because the people in it are bad. Most are smart, experienced, and well-intentioned. It’s broken because the model rewards the wrong things. It rewards diagnosis over delivery. Strategy over systems. Insight over implementation.

If you’re a founder looking for marketing help, don’t hire someone to think for you. Hire someone to build with you. The difference is everything.

- MM

The short answer: it depends on your stage, your runway, and whether you have time or money.

The long answer is this article.

Why This Comparison Matters More Than Ever

The paid ads space is getting expensive. Average CPCs across most industries have risen year-over-year for the last four years running. Meanwhile, AI-generated content has flooded organic search, making it harder to rank without genuine authority. Both channels are more competitive than they were two years ago.

So the founder who says "we'll just run Google Ads" and the founder who says "we'll just do SEO" are both making a mistake. The question isn't which one is better. The question is which one is right for where you are right now.

What Each Channel Actually Does

Let me strip away the jargon.

Paid ads (Google Ads, Meta, LinkedIn, etc.) buy you attention. You pay for placement, your ad shows up, and when someone clicks, you pay again. The moment you stop paying, the traffic stops. It's renting space in someone else's system.

SEO is building your own infrastructure. You create content, earn authority, and rank in search results. The traffic that comes in isn't paying you rent — it's yours. But building that infrastructure takes time. Months, often over a year, before it compounds meaningfully.

Here's the fundamental tradeoff: paid ads give you speed. SEO gives you compounding returns. These aren't interchangeable. They solve different problems at different stages.

The Stage Framework

Pre-Product-Market Fit: Neither. Both. Wrong Question.

If you haven't validated that people genuinely want what you're building, neither channel will save you. I've said this before and I'll keep saying it because founders keep getting this wrong.

Marketing amplifies what's already working. It doesn't create demand for something people don't want.

At this stage, your job is to talk to people. Do 50 customer interviews. Build something small, put it in front of real humans, and watch what happens. The customer development work you do now will inform every marketing decision you make later — including which channel makes sense and what messaging actually resonates.

Budget: $0 on both channels.

Early Traction (First Real Customers, Proving the Model)

You've got some signal. A handful of customers who are genuinely happy. Some evidence of demand. Now what?

This is where I usually recommend a small paid experiment — not as a growth channel, but as a research tool.

Running $500–1,000 in Google Ads against your top 3–4 hypotheses about who your customer is and what they're searching for will teach you more in two weeks than six months of SEO guesswork. You'll find out if your ideal customer is even using search to find solutions like yours. You'll see what copy converts. You'll learn which problem framing resonates.

Then you take those learnings and you build your SEO strategy on proven data, not assumptions.

Budget: $500–1,000/month in paid (research mode). Start producing 2–3 high-quality SEO pieces per month, targeting the keywords your paid experiments validated.

Post-PMF, Pre-Series A

Now it starts to get interesting.

By this point, you should have enough data to know two things: who your customer actually is, and what they search for when they're looking for something like you.

This is when SEO starts to make serious economic sense. If your customer acquisition cost through paid is, say, $200, and you can rank for a keyword that brings in customers organically for a one-time content investment of $2,000 — that content pays for itself after 10 customers. After that, every customer from that article is essentially free.

But here's the catch: SEO at this stage takes 6–12 months to materialize. So you can't turn off paid ads while you wait. The play is to run paid to fund the present while SEO builds the future.

Budget: Maintain proven paid channels. Invest $2,000–5,000/month in SEO (content + technical + links). Expect the SEO flywheel to start turning in 6–9 months.

Scaled / Series A+

At this point, if SEO wasn't already a priority, you're behind. And not just a little behind.

Organic search traffic is one of the highest-quality lead sources available because it captures demand that already exists. The person typing "AI legal research tool" into Google is actively looking. They have intent. Compare that to someone who sees your LinkedIn ad — you're interrupting them. You're creating awareness against their will.

The companies that get this right early — the ones that invest in SEO before they "need to" — end up with a distribution moat that's genuinely hard to replicate. It takes time to build domain authority. It takes time to earn backlinks. It takes time for Google to recognize you as a trusted source. You can't shortcut it with budget. You can only shortcut it with time.

Budget: SEO should be a significant, ongoing investment. Paid is still part of the mix, but increasingly for retargeting and bottom-of-funnel, not awareness.

The Honest Case for Paid Ads

I want to be fair here because I just spent several paragraphs making the case for SEO, and that's not the whole picture.

Paid ads have real advantages that SEO can't match:

Speed. If you need revenue in 30 days, SEO isn't going to help you. Paid is. Full stop.

Precision. You can target by job title, company size, location, interests, and behavior. SEO reaches whoever happens to be searching. Paid reaches exactly who you want to reach.

Testability. Paid ads give you instant feedback. You know within days if a message is resonating. SEO takes months to tell you the same thing.

Scalability. When you find a paid channel that works, you can scale it by increasing budget. SEO doesn't scale that way — you can't pour more money in and get proportionally more traffic.

For certain business types — particularly those with high LTV, clear ICP, and strong product-market fit — paid ads might always be the primary channel. That's legitimate. Not every business needs to win on organic.

The Honest Case for SEO

The compounding effect of SEO is hard to overstate. A piece of content that ranks for a valuable keyword can bring in leads every single month for years. The economics look terrible in year one and incredible in year three.

There's also a trust dimension. Organic search results carry implicit credibility that ads don't. When your company shows up at the top of a search result — not in an ad slot — a portion of searchers will give you more benefit of the doubt than they would an ad.

And then there's the volatility argument. Paid channels can change overnight. Google can shift its auction dynamics. Meta can change its algorithm. Your cost-per-click can double in a month. Companies that have built organic authority are insulated from that volatility in a way that paid-dependent businesses simply aren't.

I've seen founders wake up to a 3x increase in their cost per acquisition because of a platform change they had no control over. The ones who'd also invested in SEO could absorb that hit. The ones who hadn't were suddenly in crisis.

The Question Nobody Asks

Most founders ask "SEO or paid?" when the better question is: do I have time or money?

Early-stage founders with limited runway and strong distribution instincts should think about SEO as a long-term investment they start now, while using paid sparingly and strategically to generate immediate learning.

Founders with capital who need to prove growth metrics quickly should lean heavier on paid, but not at the expense of building any organic foundation.

The founders who get into real trouble are the ones who go all-in on paid because it's fast, generate impressive short-term numbers, and then hit a wall when the economics stop working. By that point, they have no SEO foundation to fall back on and no time to build one.

This is related to the bigger pattern I've written about before: confusing activity with progress. Running ads feels like marketing. Watching impressions and click-through rates feels like traction. But if the unit economics don't work, you're just accelerating toward the same cliff.

What I Actually Recommend to Clients

Here's the framework I use at Olunix when a new client asks this question:

1. What's your time horizon? If you need revenue in 60 days, start with paid. If you're building for 24 months, start building SEO authority now.

2. Do you know who your customer is and what they search for? If yes, start SEO immediately alongside a paid experiment. If no, run paid experiments first to find out.

3. What are your unit economics? Calculate what a customer is worth (LTV) and what it costs to acquire them (CAC) through paid. If CAC is greater than LTV/3, your paid channel has a problem and SEO becomes more urgent.

4. What's your content capability? SEO requires consistent, high-quality content production. If you don't have the internal capability or budget to produce it, a paid strategy you can execute well will outperform an SEO strategy you execute poorly.

5. What's your competitive landscape? If your competitors have 10 years of SEO authority, ranking against them will take years of sustained investment. In that case, paid might be a faster path to visibility while you build organic credibility in adjacent topics where competition is lower.

The Real Answer

Don't choose. Sequence.

Start with enough paid spend to validate your assumptions and fund the learning you need. Use those learnings to build an SEO strategy grounded in real data. Invest in SEO consistently, even when it feels like nothing is happening. And maintain paid for the channels and use cases where it's provably working.

The startups that win at marketing aren't the ones that picked the right channel. They're the ones that understood how to use each channel as part of a larger system, at the right time, for the right purpose.

That's not as satisfying as a definitive answer. But it's the one that actually works.

- MM

I just didn’t know it yet.

The Channel Nobody Watched

When I was a kid, I started a gaming YouTube channel. Zero subscribers. Big dreams. I was making Minecraft videos, screen recording on my parents’ computer, and uploading them with the genuine belief that this was going to be my thing.

It wasn’t. Not even close.

But something happened during that period that I didn’t appreciate until much later. I got stuck on one question: why is nobody clicking my videos?

I didn’t phrase it that way at the time. I was 10. What I actually thought was more like “why does this guy with the same game get 50,000 views and I get 12?” Eleven of those views were me, by the way.

Accidentally Learning the Fundamentals

So I started doing what any obsessive kid would do. I studied.

I looked at what the big creators were doing differently. Their titles were specific. Mine were generic. Their thumbnails had contrast and faces. Mine were blurry screenshots. Their videos hooked you in the first 10 seconds. Mine started with 30 seconds of silence while I figured out the screen recorder.

My dad was so supportive in this. I remember we spent an entire day at the mall trying to find the best microphone for me to use, and I would get so excited to share all of the analytics with him.

I started changing things. New titles. Better thumbnails. Different intros. I’d upload a video, watch the view count for a day, then tweak something and try again.

And as you can see… it actually worked. Not millions of views. But enough to prove something important: small changes in how you present the same content can dramatically change how people respond to it.

I didn’t know the word “optimization.” I just knew my video with 12 views needed help.

I didn’t know what “click-through rate” meant. I just knew that some thumbnails made me want to click and others didn’t.

I didn’t know I was doing A/B testing. I just kept changing things until something performed better.

Turns out I was teaching myself SEO, CTR, and content strategy before I ever heard those words.

The Part Nobody Talks About

Here’s the honest part: I didn’t have the discipline to keep going. I was 10. I got distracted. The channel died. I moved on to the next thing the way every kid does.

But the instinct stayed.

That impulse to look at something that isn’t performing and ask “why?” and then actually do something about it — that never left me. It just went dormant for a while.

When I eventually got into marketing properly, first with small projects, then with e-commerce clients during COVID, then with building Olunix, it didn’t feel like learning something new. It felt like returning to something I’d already been doing. The vocabulary was different. The stakes were higher. But the core question was the same: why isn’t this working, and what can I change?

Why This Matters More Than You’d Think

I think a lot of people believe marketing is something you learn in a classroom or pick up from a course. And sure, formal education matters. Systems thinking and structured frameworks are valuable.

But the foundation of marketing isn’t technical knowledge. It’s curiosity. It’s the willingness to look at something that isn’t working and be bothered enough to fix it. It’s pattern recognition. It’s empathy — understanding what makes someone click, watch, stay, or leave.

That kid on his parents’ computer had all of that. He just didn’t have the vocabulary or the discipline.

The vocabulary came later. The discipline came later. But the instinct? That was always there.

What I’d Tell My 10-Year-Old Self

Keep going.

Not because the YouTube channel was going to blow up. It wasn’t. But because the thing you’re doing right now, the obsessive tinkering, the refusal to accept bad results, the hunger to understand why some things work and others don’t — that’s not a hobby. That’s a career.

You just don’t know it yet.

I didn’t start my marketing career when I launched my company. I started it on my parents’ computer, trying to outsmart the YouTube algorithm with a Minecraft video and zero subscribers.

And honestly? I’m still doing the same thing. The algorithm is just bigger now.

- MM

You know what I'm talking about. The rage bait. The AI-generated slop. The "day in my life" videos that are just someone walking through a parking lot with a voiceover about nothing. The posts engineered to make you angry enough to comment, or confused enough to share. That stuff gets millions of views. Meanwhile, someone who spent three weeks on a deeply researched, genuinely valuable piece of content gets 47 likes and a pity comment from their mom.

It's easy to blame the algorithm. And a lot of people do. But I think the answer is more uncomfortable than that.

The Algorithm Argument

Let's start with the obvious suspect. Social media algorithms are designed to maximize engagement. Not value. Not quality. Not truth. Engagement. And engagement, as it turns out, doesn't correlate with quality. It correlates with emotion.

Content that makes you angry gets shared. Content that makes you anxious keeps you scrolling. Content that's mildly outrageous gets commented on by people who "just can't believe this." The algorithm doesn't know the difference between someone commenting "this changed my life" and someone commenting "this is the worst take I've ever seen." Both are engagement. Both get rewarded.

Meta is currently in trial over exactly this. A lawsuit backed by over 40 state attorneys general accuses Meta of deliberately engineering features — infinite scroll, auto-play, push notifications, recommendation algorithms — that make their platforms addictive, particularly to young people. Internal documents allegedly show the company targeted children as an audience while publicly claiming to protect them. Zuckerberg himself took the stand and denied that Instagram was designed to be addictive, saying he's "focused on building a community that is sustainable."

Plaintiff attorneys weren't buying it. Their argument? These companies "built machines designed to addict the brains of children, and they did it on purpose."

Whether the court agrees or not, the accusation itself tells you something important: the people building these platforms optimized for time spent, not value delivered. And when you optimize for time spent, the content that wins is the content that keeps people on the app. Not the content that makes them better.

But Here's Where It Gets Complicated

It's tempting to stop there. "The algorithm is broken, therefore trash content wins." Clean narrative. Easy villain.

But I don't think it's that simple.

Because here's the thing: not every platform rewards the same behavior. The kind of content that goes viral on TikTok is fundamentally different from what performs on LinkedIn. What works on X is different from what works on YouTube long-form. The algorithm isn't one monolithic thing. It's a set of incentive structures that vary dramatically across platforms.

On TikTok, the algorithm is discovery-first. It shows your content to strangers. That means the content that wins is the content that captures attention in under two seconds and holds it through novelty, shock, or emotional hijacking. Quality is irrelevant if you can't hook someone before their thumb moves.

On LinkedIn, the algorithm historically rewarded long-form, vulnerable storytelling. "I got fired and here's what I learned" posts outperformed actual business insights for years. LinkedIn has been actively trying to move away from this, but the ecosystem of users trained on engagement bait doesn't change overnight.

On YouTube, watch time is king. Longer videos that keep people watching get pushed harder. That's why 10-minute videos with 2 minutes of actual value and 8 minutes of filler exist. The algorithm doesn't know the information density of the video. It just knows people didn't click away.

So yes, the algorithm matters. But the specific flavor of mediocrity it incentivizes depends entirely on the platform. Which tells me the algorithm isn't the root cause. It's a symptom.

The Ecosystem We Built

Here's what I think the deeper issue is: we created an ecosystem where content is a commodity, not a craft.

Think about the sheer volume of content being published every day. Over 500 hours of video are uploaded to YouTube every minute. Millions of posts go up on Instagram daily. The supply of content is functionally infinite.

When supply is infinite, attention becomes the scarce resource. And when attention is scarce, the content that wins isn't the best content. It's the most attention-efficient content. The content that delivers the maximum emotional response in the minimum amount of time.

That's not an algorithm problem. That's an economics problem.

We built platforms where anyone can publish. That's genuinely good. The democratization of media creation is one of the most important shifts of our generation. But the side effect is that we flooded the market. And in a flooded market, the loudest voice wins. Not the wisest.

The Creator's Dilemma

This creates a brutal dilemma for anyone trying to make genuinely good content.

You can spend a week researching, writing, and producing something that actually helps people. Or you can spend 20 minutes recording a hot take that gets 100x the reach. The market is telling you, explicitly, that the hot take is more valuable. Not because it's better. But because it's more efficient at capturing attention.

And here's the part nobody wants to admit: most people don't want depth. Not really. They say they do. They share articles about wanting more "meaningful content." But their behavior tells a different story. They scroll past the in-depth analysis and stop on the meme. They skip the 30-minute documentary and watch the 60-second clip. They bookmark the long read and never open it.

I'm not judging. I do it too. We all do. Our brains are wired for novelty and efficiency. Social media didn't create that wiring. It just exploited it at scale.

So Who's Actually Responsible?

This is where it gets uncomfortable.

The platforms are responsible for building systems that optimize for engagement over wellbeing. The Meta lawsuit makes that case clearly. When your recommendation engine actively promotes content that triggers emotional responses because it increases time on platform, you've made a choice. You've decided that ad revenue matters more than the quality of information your users consume.

The creators are responsible for playing the game. Every person who posts rage bait, who writes misleading headlines, who manufactures outrage for clicks, is making a choice too. They're choosing reach over integrity. And the ones who are successful at it make it harder for everyone else.

The audience is responsible for consuming it. Every view, every comment, every share is a vote. And collectively, we keep voting for the wrong thing.

And the advertisers are responsible for funding it. The entire model runs on advertising. Advertisers fund platforms. Platforms optimize for engagement. Engagement rewards low-quality content. Advertisers are indirectly subsidizing the very ecosystem that degrades the attention of the people they're trying to reach.

It's a cycle. And no single actor can break it alone.

What I Actually Think

I think we're in a transitional period. The cracks are showing. The Meta trial is happening. Regulators are paying attention. Users are starting to feel the exhaustion. There's a growing market for slower, more intentional content — newsletters, podcasts, long-form YouTube, private communities.

But I don't think the algorithm is going to save us. Even if Meta and YouTube and TikTok completely redesigned their recommendation systems to prioritize "quality" (whatever that means), the fundamental economics haven't changed. Attention is scarce. Content is infinite. And human psychology favors novelty over depth.

What I do think is that there's a growing audience of people who are tired. Tired of feeling manipulated. Tired of consuming content that leaves them worse off than before. Tired of the empty calories.

And for creators, especially for brands and founders, that's the opportunity. The same way I've argued that honesty is a competitive advantage in AI marketing, I think substance is becoming a competitive advantage in content. Not because the algorithm rewards it. But because the people who matter — the ones who actually buy, who actually stick around, who actually become advocates — are increasingly the ones who can tell the difference.

Good content doesn't win the algorithm game. But it wins the trust game. And trust is the only game that compounds.

What This Means If You're Building Something

If you're a founder or a marketer reading this, here's my practical takeaway:

Stop trying to win the algorithm. You will lose that race. There will always be someone willing to go lower, post more often, and manufacture more outrage than you. That's not your game.

Play the long game instead. Create content that your ideal customer would save, share with a colleague, or reference six months from now. That content won't go viral. But it will build the kind of reputation that no amount of ad spend can buy.

Choose your platform intentionally. Not every platform deserves your presence. If the incentive structure of a platform fundamentally conflicts with the kind of content you want to create, you're better off not being there. Depth doesn't work everywhere. Find where it does and invest there.

The disconnect between good content and popular content is real. But it's not permanent. And the creators who refuse to compromise on quality now are the ones who'll still be standing when the noise finally fades.

- MM

Not the act of it, exactly. I believe in what we do at Olunix. I believe in the value we create. But the version of selling that most people picture, the cold outreach, the objection handling, the "always be closing" mentality, that's never been me. And I've made a deliberate decision to never let it become me.

Here's why that's worked out better than anyone expected.

The Anti-Pitch Philosophy

Early on, I watched other agencies and consultants operate. The playbook was always the same: run ads to generate leads, get on a discovery call, spend 45 minutes "handling objections," and close the deal before the prospect has time to think. Then hope the actual delivery lives up to the promises made during the pitch.

That last part is where most of them fall apart.

I decided to flip it. What if instead of spending energy convincing people to hire us, we spent that energy making the work so good that people convinced themselves? What if the pitch was the delivery?

It sounds idealistic. Maybe it is. But it's also just math. The cost of acquiring a client through aggressive sales tactics is high. The cost of retaining a client through excellent work is low. And a retained client who refers you to someone else? That's a negative acquisition cost. You're not spending money. You're saving it.

What This Looks Like in Practice

Let me give you some real examples instead of theory.

When the founder of Reefers Technologies came to us, they needed their website rebuilt. We could have scoped it out, delivered it, and moved on. Instead, we stayed. After-care. Follow-up. Making sure everything ran the way it should long after the invoice was paid.

Here's what he said:

> "Olunix did an outstanding job rebuilding our website. They were fast to respond to every request, delivered high-quality work on time, and made the entire process smooth from start to finish. What stood out most was their after-care support — they didn't just hand off the site, they stayed involved to make sure everything ran perfectly."
> — Founder & CEO, Reefers Technologies INC

Nobody asked us to do that. There was no upsell. No "premium support package." We just didn't want to hand someone a website and disappear. Because that's not how you build a relationship. That's how you complete a transaction.

When the Work Does Something Unexpected

The founder of Xpomo came to us with a problem I genuinely found exciting: he'd built an AI study app and needed to reach students at scale. TikTok was the obvious channel. But he didn't just need someone to post videos. He needed a growth strategy built from scratch.

So we built one. Together. From the ground up.

> "Working with Olunix has been a game changer. I was building an AI study app and I needed to find a TikTok growth strategy to reach students. They worked with me to build it out and execute from the ground up, as we received 5m+ views in just a few months. The Olunix guys have amazing energy and deliver results beyond my expectations."
> — Founder, Xpomo.io

Five million views in a few months. That's a number I'm proud of. But what I'm more proud of is the "worked with me" part. He didn't say "they did it for me." He said they worked with him. That distinction matters. We're not a vending machine where you insert money and receive marketing. We're in it together. That's the only way it works.

Partnerships, Not Transactions

The founder of Wize Consulting needed two things: visibility and connections. Google Ads handled the first part, bringing in consistent, qualified leads. But the second part, connecting him with partners who could actually accelerate his growth, that's not something most agencies even think about.

We did. Because we care about the outcome, not just the deliverable.

> "Olunix has been a game changer for my consulting startup. Their Google Ads management boosted my visibility and brought in consistent, qualified leads, while their network connections opened doors to high-quality partners that have been invaluable for growth."
> — Founder & Owner, Wize Consulting

Opening your network for a client isn't in any scope of work. It's not billable. It's not something you can put on a case study slide. But it's the kind of thing that turns a three-month engagement into a long-term partnership. And long-term partnerships are the entire game.

Why This Matters More Than Ever

We're in an era where AI is automating execution and agencies are getting squeezed on margins. The ones that survive won't be the ones with the best sales decks. They'll be the ones whose clients refuse to leave.

Forrester predicted that agencies will face an identity crisis in 2026, with significant headcount reductions as AI takes over execution work. The firms that make it through are the ones who've built something that can't be automated: trust.

You can't automate the decision to stay involved after the project is done. You can't automate a genuine introduction to someone in your network. You can't automate caring about whether your client's business actually grows.

That's the moat. Not the pitch. Not the close rate. Not the funnel. The work.

The Uncomfortable Truth About Sales Culture

I think the reason so many agencies sell hard is because they have to. When your work is average, you need an exceptional pitch. When your delivery is inconsistent, you need a contract that locks people in. When your results are mediocre, you need vanity metrics and creative reporting to keep clients from leaving.

I'd rather have the opposite problem. I'd rather have work so good that the sales conversation becomes "here's what we've done for people like you, and here's what they said about it."

That's not a pitch. That's just the truth.

What I'd Tell a Young Founder About Sales

You don't have to become someone you're not to grow a business. You don't have to learn objection handling or build a 47-step email sequence or pretend to be best friends with someone you met on LinkedIn 30 seconds ago.

You have to be excellent at what you do. You have to care about the people you work with. And you have to trust that when those two things are true, the work will speak louder than any pitch ever could.

That's been the Olunix philosophy from day one. It's not scalable in the way a sales team is. It's not fast in the way paid acquisition is. But it's real. And in a world full of noise, real is the most valuable thing you can be.

- MM

If you're reading this and you feel like you've wasted too much time, like you're behind, like the gap between where you are and where you want to be is too wide to cross — I wrote this for you.

The Version of Me Nobody Saw

When COVID hit, I was in a bad place. Not in the dramatic, cinematic way people talk about it on podcasts. In the quiet, invisible way where you just stop doing anything meaningful and convince yourself that's fine.

I wasn't building anything. I wasn't working toward anything. I was just existing, and not in the peaceful, intentional way. In the stuck way. The kind where you know you should be doing more, but you can't figure out what "more" even looks like, so you just don't start.

I think a lot of people felt that during COVID. But for me, it wasn't just the pandemic. It was deeper than that. I genuinely didn't know what I was supposed to be doing with my life. And when you don't have a direction, every day feels the same. You wake up, do nothing that matters, go to sleep, and repeat. And the longer that cycle goes, the harder it becomes to believe you're capable of breaking it.

The Switch

I can't pinpoint the exact moment it changed. I wish I could give you some movie scene where everything clicked. It wasn't like that. It was more like a slow realization that I was running out of excuses.

And then something happened.

I started. Not because I had some grand vision. Not because I was "ready." I started because the alternative, another year of doing nothing, scared me more than failing.

I fell in love with the process.

Not the results. Not the money. Not the validation. The process. The act of doing the work. The late nights figuring out how to make a campaign actually convert. The obsessive tinkering with a landing page until it felt right. The problem-solving. The building.

The Obsession That Saved Me

People use the word "obsession" like it's unhealthy. And sure, it can be. But for me, it was the opposite. It was the thing that pulled me out.

I became obsessed with getting better. Not in a comparison way, not "better than someone else." Just better than yesterday. I wanted to understand marketing at a level that most people don't bother reaching. I wanted to be precise. I wanted to be excellent. Not for the accolades, but because the pursuit itself felt like the first meaningful thing I'd done in a long time.

If you want a recent example, this website you're on right now has gone through over 30 functional iterations in the past week alone. Thirty. Not because any of them were bad. But because I couldn't stop refining it. I'd finish a version, look at it, and think "this could be better." And then I'd rebuild it. Again. And again.

Some people would call that a waste of time. I call it the reason I'm here at all.

That same energy, that same refusal to settle, is what turned a kid doing nothing during a pandemic into someone building a company, working with AI startups, and writing articles at 1 AM because he genuinely wants to.

You Just Have to Know It to Be True

I want to be honest about something. My conviction, the deep-down belief that I could actually do hard things, didn't come from a motivational video or a self-help book. It came from my faith. It came from God.

I'm not going to preach at you. That's not what this is. But I'd be lying if I wrote this article about what pulled me through and left that part out. When I had no evidence that things would work out, when every rational indicator said I was behind and under-qualified and out of my depth, there was something deeper that told me to keep going. And I listened.

Whatever that thing is for you, your faith, your family, a promise you made to yourself, hold onto it. Because the world will give you a thousand reasons to quit. You need at least one reason that's stronger than all of them.

Forget the Gurus

Here's what nobody with a Lamborghini in their thumbnail is going to tell you: fulfillment doesn't come from the outcome. It comes from the alignment.

When you find something you can make genuinely fun and exciting, something that pulls you forward instead of something you have to drag yourself through, that's where 90% of fulfillment lives. Not in the revenue milestone. Not in the follower count. Not in the "passive income lifestyle" that someone's selling you for $997.

It's in the work itself. It's in choosing a thing, whether it's a school, a business, a job, a craft, and making it yours. Making it something you care about deeply enough that the hard parts stop feeling like punishment and start feeling like the price of admission to a life you actually want.

I genuinely believe that. I believe that the kid who's scrolling at 2 AM feeling like they've wasted their potential is closer to a breakthrough than they think. Not because of some magic formula. But because the fact that they care, the fact that the gap between where they are and where they want to be actually bothers them, means the fire is already there. It just needs permission to burn.

What I'd Say to That Person

If you're the person I wrote this for, here's what I want you to hear.

You are not too far gone. You're not too old, too young, too broke, too uneducated, too whatever excuse feels the most convincing right now. The gap between doing nothing and doing something is exactly one decision wide.

You don't need to have it all figured out. I didn't. I just needed to start, and then I needed to fall in love with getting better. That's it. That's the whole strategy.

Pick something. Make it fun. Make it yours. Get obsessive about it. And when people tell you you're doing too much or caring too much or trying too hard, understand that those people have never felt what it's like to be fully alive inside of their work.

The juxtaposition from where I was during COVID to where I am now is so sharp it almost doesn't feel real. But it is. And if it happened for me, it can happen for you.

You just have to know it to be true. And then you have to start.

- MM

So I want to break down what's actually working right now, what's not, and how I think AI startups should be thinking about marketing heading into 2026 and beyond.

The Problem: Everyone Sounds the Same

Here's the uncomfortable truth. If you're building an AI product right now, you're competing in one of the noisiest markets in history. Every pitch deck says "AI-powered." Every landing page promises to "revolutionize" something. Every founder has a demo that looks impressive for 30 seconds.

The result? Buyers are skeptical. And rightfully so.

According to recent research, 62% of consumers say they'd trust brands more if they were transparent about their use of AI. That number tells you everything. People aren't anti-AI. They're anti-BS. They want to know what's real, what actually works, and who they can trust.

Stop Selling "AI." Start Selling Results.

The most successful AI startups I've worked with have one thing in common: they don't lead with the technology. They lead with the outcome.

Nobody cares that you fine-tuned a model. They care that their support tickets get resolved 40% faster. Nobody cares about your architecture diagram. They care that their team saves 10 hours a week.

This sounds obvious, but you'd be surprised how many AI companies still lead their entire marketing strategy with technical jargon that their buyers don't understand and, frankly, don't care about.

The companies winning right now, like Cursor hitting $500M ARR through pure product-led growth, or Harvey scaling to $195M ARR in legal AI, aren't winning because they scream "AI" the loudest. They're winning because they solve a specific problem for a specific person better than anyone else, and their marketing reflects that.

The Channels That Actually Work

Based on what I'm seeing across our clients and the broader market, here's what's actually driving growth for AI startups right now:

1. Building in public. Base44, a bootstrapped AI startup, hit 400,000 users and $1M ARR without spending a dollar on ads. How? Their founder posted regular updates, shared technical insights, and built a community around the product. It was acquired by Wix for $80 million in six months. Building in public on LinkedIn proved more effective than any paid channel ever could.

2. Product-led growth. Let people try the product. Let them experience the value. Then make upgrading effortless. Cursor's entire growth engine runs on this: developers start free, fall in love, and advocate for team-wide adoption. No cold outreach. No aggressive sales tactics. Just a product so good it sells itself.

3. Thought leadership that's actually thoughtful. In a world drowning in AI-generated content, genuine human perspective is the differentiator. The startups that are building trust aren't the ones publishing 50 blog posts a month. They're the ones where the CEO writes one honest piece about a real challenge they faced, and it resonates because it's real. This is something I've seen firsthand working with early clients.

4. Community, not campaigns. The old model of "run ads, capture leads, send emails" is losing effectiveness fast. The AI startups building real competitive moats are the ones building communities. Developer communities. User communities. Ecosystems where people share, learn, and become advocates.

The Trust Problem Is Your Biggest Marketing Challenge

Here's something most AI founders underestimate: trust is your moat.

The technology is increasingly commoditized. Anyone with an API key can build a wrapper. The thing that cannot be commoditized is trust. PwC's 2025 Responsible AI survey found that 60% of business leaders said responsible AI practices boost ROI and efficiency. In 2025 alone, 17 countries enacted or expanded data privacy laws.

What does this mean for marketing? It means transparency isn't just a nice-to-have. It's your competitive advantage. Be honest about what your AI can and can't do. Show the humans behind the product. Publish your methodology. Own your limitations.

The companies that treat trust as a marketing strategy, not just a compliance checkbox, are the ones building lasting brands.

What I'd Do If I Were Launching an AI Startup Tomorrow

1. Pick one specific use case and own it completely. Don't be "AI for everything." Be "AI that does X for Y people better than anything else."
2. Build in public from day one. Share your journey, your learnings, your mistakes. It's the highest-ROI marketing channel available to you.
3. Let the product do the talking. If people can't experience value in under 5 minutes, your onboarding needs work, not your ad budget.
4. Invest in content that only you can create. Your unique perspective, your data, your customer stories. Not generic "Top 10 AI Trends" posts that anyone could write.
5. Be honest. In a market full of hype, honesty is the most disruptive thing you can do.

The AI companies that will matter in 5 years aren't the ones with the biggest marketing budgets. They're the ones that earned trust early and never stopped.

- MM

These are the things I learned the hard way. And honestly, I'm still learning.

Lesson 1: You Will Underprice Yourself. Accept It, Then Fix It.

When I started taking on clients, I had no idea what to charge. I'd look at what other people were charging, cut it in half because I figured I didn't have enough experience to justify more, and then wonder why I was working 60-hour weeks barely breaking even.

Here's the thing about pricing: if you're winning almost every deal, you're too cheap. A healthy close rate is around 25-33%. If you're closing 80-90% of your proposals, you're not pricing based on value. You're pricing based on fear.

It took me longer than I'd like to admit to learn that. The fix wasn't just raising prices. It was understanding what I was actually delivering. When you shift from selling hours to selling outcomes, the pricing conversation changes entirely.

Lesson 2: Scope Creep Will Eat You Alive If You Let It

Early on, I said yes to everything. A client would ask for "one more thing" and I'd do it because I wanted to be accommodating. I wanted them to like working with me. I wanted to prove I was worth it.

What I didn't realize was that every "quick favor" was training clients to expect free work. And the more I gave, the more they expected.

The solution wasn't becoming rigid or difficult. It was getting better at defining what's included upfront and having honest conversations when requests go beyond that. The best client relationships I've had are the ones with the clearest boundaries. Not because boundaries are cold, but because they create space for trust.

Lesson 3: Not Every Client Is Your Client

This was probably the hardest lesson. When you're starting out, every client feels essential. Every dollar matters. So you take on work that doesn't align with your strengths, for people whose communication style drains you, in industries you have no interest in.

I learned to look for red flags early:

Saying no to a paying client when you're early-stage feels terrifying. But the opportunity cost of a bad client is enormous. They take up the time, energy, and headspace that should be going toward work that actually moves your business forward.

Lesson 4: Communication Is the Whole Game

The technical skills, the strategies, the creative work, all of that matters. But the thing that separates a good client experience from a bad one is almost always communication.

I learned to over-communicate. Not in a neurotic way, but in a way that makes clients feel like they're never in the dark. Weekly updates. Clear timelines. Honest conversations when something isn't working.

The clients I've kept the longest aren't the ones I delivered the flashiest results for. They're the ones who felt heard, respected, and informed throughout the process.

Lesson 5: Your Early Clients Shape Your Entire Business

Looking back, the first 10 clients didn't just pay the bills. They shaped the direction of the company.

Working with automotive dealerships taught me how to market in traditional industries that resist change. Working with dental offices taught me the importance of local SEO and reputation management. Working with e-commerce clients during COVID taught me scalable systems. These experiences also shaped how I think about startup marketing spend today.

Every one of those experiences became part of the foundation we built Olunix on. The industries have changed, we predominantly work with AI startups now, but the principles haven't.

Your early clients are your education. Treat them that way. Learn everything you can from every engagement, even the ones that go sideways. Especially the ones that go sideways.

Lesson 6: The Transition From Doing to Leading

There's a moment every agency owner hits where you realize you can't do everything yourself. For me, it happened when I was writing copy at 2 AM on a Tuesday for the third week in a row.

The shift from doer to leader is uncomfortable. You go from being the person who touches every deliverable to the person who builds systems so other people can deliver. It feels like giving up control. It feels risky.

But it's the only way to build something bigger than yourself. And the sooner you make that shift, the sooner your business stops being a glorified freelance operation and starts being an actual company.

What I'd Tell Someone Starting Today

Start with what's in front of you. Help the people in your immediate circle. Charge more than you think you should. Set boundaries early. Say no to work that doesn't feel right, even when you need the money. And document everything, because the lessons from your first 10 clients will inform the next 100.

- MM

Marketing works. It's just that most startups are doing it at the wrong time, in the wrong way, for the wrong reasons.

The Numbers Are Brutal

Let me hit you with some data that should make every founder pause.

The Startup Genome Project studied over 3,200 high-growth tech startups and found that 74% of failures are caused by premature scaling. That includes premature marketing spend. Startups that scale properly grow about 20x faster than those that scale prematurely. And 93% of startups that scale prematurely never break $100K in monthly revenue.

On the marketing side specifically, research shows that marketers waste about 26% of their total budget on average. For SMEs, that number jumps to nearly 60%. Google has admitted that up to 56% of display ads are never even seen by a human.

So when I say most startups waste money on marketing, I'm not being dramatic. The data backs it up.

The 5 Most Common Ways Startups Burn Through Budget

1. Spending Before Product-Market Fit

This is the big one. If you haven't validated that people genuinely want what you're building, no amount of marketing spend will fix that. Marketing amplifies what's already working. It doesn't create demand for something nobody wants.

Before you spend a dollar on ads, you should be able to answer: Who is this for? Why do they care? And are they willing to pay?

2. Spreading Across Too Many Channels

I get the temptation. You want to be on Instagram, LinkedIn, TikTok, run Google Ads, do SEO, start a podcast, maybe some PR. But spreading your budget across 8 channels guarantees mediocre results everywhere and excellence nowhere.

Focus on 2-3 channels maximum. Master them. Prove they work. Then expand.

3. Chasing Vanity Metrics

If your marketing report is full of impressions, follower counts, and website traffic but doesn't mention conversion rates, customer acquisition costs, or revenue, you're measuring the wrong things.

Vanity metrics make you feel good. Business metrics keep you alive.

4. Hiring Too Early

A lot of founders rush to hire a head of marketing or a growth hacker before they even understand their own positioning. Without clear messaging, defined ideal customers, and a strategy, even a talented marketer will struggle.

Most startups pre-Series A should be doing founder-led marketing. Nobody knows your product and customers better than you do. Once you've identified what works, then hire someone to scale it. I wrote more about when to hire externally vs. build in-house.

5. Confusing Activity With Progress

Posting three times a day on LinkedIn. Sending weekly newsletters. Publishing blog posts. All of these can be valuable. But if they're not tied to a strategy with clear goals, they're just busywork that makes you feel productive while your competitors are actually converting customers.

What Smart Startups Do Instead

The startups that spend wisely have a few things in common.

They do things that don't scale first. Before Airbnb ran any ads, their founders went door to door in New York helping hosts improve their listings. Before Stripe built a sales team, the Collison brothers would physically take people's laptops and install Stripe on the spot. These unscalable efforts taught them more about their customers than any campaign ever could.

They obsess over unit economics. They know exactly what it costs to acquire a customer (CAC), what that customer is worth over time (LTV), and they don't scale spend until LTV is at least 3x CAC.

They build referral loops. Dropbox grew 3,900% in 15 months through a referral program that cost essentially nothing. Both the referrer and the friend got 500MB of free storage. It worked because it incentivized behavior users were already doing naturally: sharing files.

They focus on retention before acquisition. The probability of selling to an existing customer is 60-70%. For a new prospect, it's 5-20%. Yet most startups pour the majority of their budget into acquisition and neglect the customers they already have.

The Framework I Use With Clients

When a startup comes to us at Olunix, the first thing I do is assess where they actually are, not where they think they are.

Pre-product-market fit? We focus on messaging, positioning, and learning. Small experiments. Talking to customers. Zero paid spend.

Early traction? We identify the 1-2 channels showing the most promise and invest deeply in those. We set up proper tracking so every dollar can be attributed to an outcome.

Post-PMF with revenue? Now we scale. Paid acquisition, content systems, and partnerships, but only with proven unit economics backing every decision.

The sequencing matters. Most of the waste I see comes from startups trying to execute a growth-stage playbook when they're still in learning mode.

The Bottom Line

Marketing isn't a lottery ticket. It's a system. And like any system, it works best when you build it on a solid foundation.

Stop spending money to feel like you're making progress. Start spending money because you've proven something works and you're ready to pour fuel on it.

That's the difference between startups that scale and startups that stall.

- MM

It's great to have you here, and I'm genuinely grateful you took a second to look around my website. I'm not entirely sure what this article section will look like down the line. Maybe it becomes a place where I share what I'm learning as a young man navigating entrepreneurship, maybe it turns into something completely different. But for now, I figured the best place to start is with a bit about who I am, how I got here, and why I'm writing any of this in the first place.

Born in Egypt. Raised in Canada. Built by Curiosity.

I was born in Egypt and moved to Canada when I was eight years old. Growing up between two cultures gives you this interesting lens on the world. You learn to read rooms quickly, adapt to new environments, and communicate across different contexts. I didn't realize it at the time, but those were some of the earliest marketing skills I ever developed.

For most of my childhood, I had my heart set on engineering. I loved understanding how things worked, breaking systems down, and building them back up. That never went away. But somewhere in high school, I stumbled into something that lit me up in a completely different way: marketing.

Not the "post a flyer and hope for the best" kind. I'm talking about the real stuff. Understanding people, figuring out what makes them care, and then building a bridge between what someone offers and what someone needs. That clicked for me in a way that felt almost instinctive.

Starting Small, Learning Fast

Like most people, I started with what was right in front of me. I helped friends with their projects. Then people in my close circle. Then small clients who needed someone hungry to figure things out.

Then COVID hit.

And look, I'm not going to romanticize a global pandemic. But what I will say is this: the timing created a unique window. Everybody was buying from home. E-commerce exploded overnight, and suddenly the skills I'd been sharpening for years were in serious demand. I started working with bigger e-commerce clients, and that's where I really started to understand what scalable marketing looks like. Not just getting attention, but converting it, retaining it, and building systems around it.

That period taught me more than any textbook ever could.

Engineering Meets Marketing

I went on to study Automotive Engineering Technology at McMaster University, and I know that might seem like a left turn from marketing. But to me, it works. The heart of Engineering taught me how to think in systems. How to be precise. How to solve problems methodically. Marketing, on the other hand, taught me how to think about people. How to communicate. How to create value that someone actually feels. Together, they've become the foundation of how I build systems that serve people.

Building Olunix

In the summer before my final year, I made a decision that changed everything. I started a company.

My CTO and CMO were with me from early on, and together we set out to do something that sounds simple but turned out to be anything but: use marketing to create real value in the world.

It took us a while to figure out what that actually meant. It meant saying no to shortcuts. It meant prioritizing doing things well over doing things fast. It meant hardship, real hardship, in learning to hold ourselves to a standard that most people in this space don't bother with.

But it has been worth it.

We started as GrowByte Media, working with automotive dealerships and dental offices, learning the ins and outs of industries that most marketers overlook. Over time, as our approach matured and our clients evolved, we rebranded to Olunix, a name that better reflects who we are today: not just a marketing agency, but a consulting and growth partner.

Today, we work predominantly with AI startups. The companies we partner with are building the future, and our job is to help them get the right message in front of the right people at the right time. It's strategic. It's technical. And it's deeply human.

Why I’m Writing This

I've always wanted a place to share my two cents on certain topics, but whether because I didn't have the time or couldn't find the right medium, I never got around to it. I'm not going to sit here and pretend like I have something revolutionary, or even insightful to say, but I hope this gives you a glimpse at who I am beyond a simple website showcasing the surface stuff. The blessing and curse of a marketing mind is the constant pull to leverage output, which often leaves less room for genuine thought. Having this platform removes that inclination to appeal to the algorithm entirely.

I started this because I believe the best marketers aren't just practitioners. They're thinkers. They share what they know, they contribute to the conversation, and they're honest about the journey, not just the highlight reel. So that's what I plan to do here. Share what I'm learning, what I'm building, and what I think matters in a world where marketing is evolving faster than most people can keep up with.

If you've made it this far, thank you. I genuinely appreciate your time. I hope this is just the start.

- MM

This article is for anyone thinking about starting a business as a student in Toronto, or anywhere in Canada really. I want to give you the honest version, not the LinkedIn highlight reel.

Why Toronto Is Special

I'm biased, but I genuinely believe Toronto is one of the best cities to start a business, especially if you're young and scrappy.

The numbers back it up. Toronto's population is over 2.9 million, with more than 200 languages spoken. Over 51% of Toronto residents were born outside of Canada. That kind of diversity isn't just a nice statistic for a brochure. It's a business advantage.

When your city speaks 200 languages and represents every corner of the world, you have a built-in testing ground for products and services that need to work across cultures. You have access to perspectives and networks that founders in more homogeneous markets simply don't.

The tech ecosystem is strong too. Toronto is home to world-class AI research at the University of Toronto, a thriving startup scene, and growing venture capital infrastructure. Companies like Shopify, Wealthsimple, and dozens of AI startups have built significant businesses here.

The McMaster Advantage

I'll be honest: when I tell people I'm studying Automotive Engineering Technology and running a marketing company, I get some confused looks. But McMaster has been a bigger part of my entrepreneurial journey than most people realize.

McMaster has The Forge, a business incubator that's been supporting startups since 2015. It's located in a 10,000-square-foot space at McMaster Innovation Park and provides mentorship, business development support, and access to investors and industry experts. They run year-long commercialization programs for early-stage ventures across biotech, digital health, mobility, and more.

Beyond formal programs, the university environment itself is valuable. You're surrounded by smart people across every discipline. You have access to libraries, research, professors who've been in industry for decades, and a built-in network of peers who are going through the same thing you are.

The Honest Challenges

Let me be real about what's hard.

Time management is brutal. You're not just juggling a business and school. You're juggling a business, school, assignments, group projects, maybe a part-time job, and some attempt at having a life. There were weeks where I slept 4-5 hours a night because a client deliverable was due the same day as a midterm. I don't recommend it. But it happens.

Credibility is an uphill battle. When you're 21 and sitting across from a potential client who's been in business for 20 years, they're going to wonder whether you can actually deliver. I learned to let the work speak for itself. I stopped trying to seem experienced and just focused on being good. Over time, the results built the credibility that my age couldn't.

The money stress is real. Starting a business is expensive, even a service-based one. There were months early on where I was reinvesting every dollar back into the company and living on the bare minimum. Toronto isn't cheap, and being a student doesn't make it cheaper.

Resources That Actually Help

If you're a student in Ontario thinking about starting something, here are resources worth knowing about:

Ontario Summer Company Program. The provincial government offers up to $3,000 in grants for students between 15-29 who want to start a summer business. It's split into two payments: up to $1,500 for startup costs and another $1,500 upon completion. Applications typically open in February.

NRC IRAP. The Industrial Research Assistance Program offers small and medium businesses up to 60-80% reimbursement for R&D expenses, capped at $500,000. It operates on a continuous intake basis, so there's no single deadline.

CanExport SMEs. If you're looking to take your business international, this program offers up to $50,000 in funding for export-related activities.

Small Business Enterprise Centres. Toronto and surrounding cities have free resources through local enterprise centres, including mentoring, workshops, and networking events.

What I Wish I'd Known Earlier

Start as a sole proprietorship. When you're just getting going and your revenue is under $30,000, you probably don't need to incorporate right away. A sole proprietorship is simpler, cheaper, and gets you moving faster. You can always incorporate later as you grow.

Build in public. Share what you're doing, even when it feels premature. The people who follow your journey early become your biggest supporters, and often your first clients. That's exactly what we did when building Olunix.

Find your people. Entrepreneurship is lonely enough without trying to do it in isolation. Whether it's other student founders, a local meetup, or an online community, surround yourself with people who understand what you're going through.

Don't wait until you're "ready." You won't be. I wasn't. Nobody is. The best time to start is when you have the lowest overhead and the highest risk tolerance, and for most people, that's while you're still in school.

The Immigrant Advantage

I was born in Egypt and moved to Canada when I was eight. Growing up between two cultures taught me how to adapt, communicate across different contexts, and read people quickly. I didn't realize it at the time, but those skills became the foundation of everything I do in marketing.

Toronto's diversity isn't just cultural richness. It's a business superpower. If you grew up navigating multiple cultures, you already have skills that most marketers spend years trying to develop. Don't underestimate that.

Final Thoughts

Building a business as a student in Toronto is hard. But it's the kind of hard that makes you better. The constraints force creativity. The pressure builds resilience. And the city gives you everything you need to succeed, if you're willing to put in the work.

If you're on the fence, just start. The worst thing that happens is you learn more in a year of building something than most people learn in a decade of thinking about it.

- MM

My answer is always the same: it depends on where you are.

I know that's unsatisfying. So let me break down what I actually mean, based on what I've seen work (and not work) across dozens of early-stage companies.

Consulting vs. Marketing: They're Not the Same Thing

Before we talk about what to hire, let's clear up something most founders get wrong: consulting and marketing are fundamentally different functions, and confusing them is one of the most expensive mistakes a startup can make.

Marketing is about execution and distribution — getting your message in front of the right people through the right channels. Ad campaigns, content, SEO, social media, email. The output is visibility, leads, and pipeline.

Consulting is about strategy and diagnosis — figuring out what to say, who to say it to, and why your current approach isn't working. The output is clarity, direction, and a plan.

Here's a quick way to think about consulting vs. marketing:

| | Marketing | Consulting |
|---|---|---|
| Primary function | Execution & distribution | Strategy & diagnosis |
| Core question | "How do we reach more customers?" | "Are we targeting the right customers?" |
| Output | Campaigns, content, leads | Frameworks, positioning, roadmaps |
| When you need it | You know what works, need to scale it | You don't know what works yet |
| Risk if you skip it | Nobody hears about you | You spend money reaching the wrong people |
| Typical engagement | Ongoing retainer | Project-based or fractional |

The mistake I see most often: founders hire for marketing (execution) when they actually need consulting (strategy). They start running ads before they've figured out their positioning. They hire a content writer before they know what story to tell. They engage an agency before understanding their customer.

This is why so many startups waste money on marketing. They're solving the wrong problem.

The right sequence is always: consulting first, marketing second. Get the strategy right, then scale it.

The Real Difference Between Agencies, Consultants, and Consulting Firms

These three get lumped together constantly, but they serve fundamentally different purposes.

A marketing agency is a team that executes. They run your ads, manage your social, build your website, produce your content. You hire them to do the work.

A marketing consultant is an individual (or small team) that advises. They audit your current efforts, develop strategy, create frameworks. You hire them to think.

A consulting firm operates at the intersection of business strategy and marketing. They work with leadership to solve business problems through a marketing lens. You hire them to decide why and how marketing fits into the bigger picture.

Here's the key distinction: Agencies answer "How do we execute this?" Consultants answer "What should we do?" Consulting firms answer "Why should we do it?"

At Olunix, we've intentionally built something that sits across these lines, because most startups need a partner who can think strategically and execute. But more on that later.

A Real Example: When Consulting vs. Marketing Gets Confused

I'll share a real scenario without naming the company. A B2B SaaS founder came to me after spending $40,000 over four months with a marketing agency. The agency had done exactly what they were hired to do: run LinkedIn ads, publish blog posts, manage email campaigns. Professional work. Good creative.

The problem? Almost zero pipeline. The founder was ready to conclude that "marketing doesn't work for us."

When I looked at their setup, the issue was obvious. They were targeting mid-market CFOs with messaging about "streamlining workflows." But their actual best customers — the ones who renewed and referred others — were operations managers at companies with 50-200 employees who cared about reducing manual errors.

They didn't have a marketing problem. They had a consulting problem. The targeting, messaging, and positioning were all wrong. No amount of ad spend was going to fix that.

We spent six weeks on strategy — customer interviews, competitive analysis, positioning work — before touching a single campaign. When they relaunched with the right strategy, their cost per qualified lead dropped by 60%.

That's the difference between consulting and marketing. And that's why sequence matters.

What You Need at Each Stage

Pre-Product-Market Fit

What you need: Almost nothing external. This is founder-led marketing territory.

At this stage, your job is to talk to potential customers, validate your messaging, and figure out what resonates. You don't need an agency running Facebook ads. You need 50 conversations with real people who might buy what you're building.

If you need any outside help at all, a consultant for a specific question, maybe 2-3 hours of their time to gut-check your positioning, is plenty. Budget: $0-$2,000/month.

Early Traction

What you need: A fractional CMO or senior consultant, plus maybe one freelancer.

You've got some signal that people want what you're building. Now you need strategic direction. A fractional CMO gives you senior marketing leadership at $4,000-$8,000/month instead of the $250,000-$500,000 salary a full-time CMO would cost.

This person helps you define your ideal customer, nail your positioning, and identify which 1-2 channels deserve your attention. They might also help you manage a freelancer or two for execution. Budget: $5,000-$12,000/month.

Post-PMF, Pre-Series A

What you need: Strategic leadership + execution support + one in-house person.

This is where most startups should consider engaging an agency, but only for specific channels where you've already proven traction. Don't hand an agency your entire marketing strategy if you haven't figured out what works yet. That's setting them up to fail and yourself up to waste money.

The ideal setup: fractional CMO for strategy, an agency for 1-2 proven channels (paid acquisition, SEO, content), and one in-house generalist who maintains institutional knowledge. Budget: $10,000-$25,000/month.

The Red Flags Nobody Talks About

Whether you're evaluating an agency, consultant, or fractional CMO, watch for these:

They guarantee results. "We'll get you to #1 on Google in 3 months" is a lie. Anyone who guarantees specific outcomes in marketing either doesn't understand the work or is counting on you not knowing better.

They don't ask hard questions. If someone starts pitching a solution before deeply understanding your business, your customers, and your competitive landscape, they're selling a template, not a partnership.

They focus on vanity metrics. If their case studies emphasize follower counts and impressions rather than revenue, leads, or customer acquisition costs, their incentives don't align with yours.

They push long contracts. A 12-month lock-in with no performance benchmarks is a sign they know clients would leave if they could. Look for 90-day initial commitments with clear success criteria.

They don't push back on you. This is counterintuitive, but a good partner should challenge your assumptions. If they just say yes to everything, they're order-takers, not strategic partners.

The Industry Is Changing Fast

Here's something worth understanding about the broader landscape. Forrester predicted that marketing agencies will face an "identity crisis" in 2026, with a 15% reduction in headcount following 8% cuts in 2025. AI is automating execution work. Procurement pressure is squeezing margins. Clients want partners, not vendors.

The old model of "you brief us, we make the thing" is dying. The agencies that survive will be the ones that evolve into true growth partners, ones that own strategy and execution, measure by business outcomes, and embed themselves into their clients' operations.

That shift is exactly why we built Olunix the way we did. We're not just an agency. We're not just consultants. We're a growth partner for companies building the future. That means we think in systems, execute tactically, and measure by the only metric that matters: did we create real value?

The Bottom Line

Don't hire an agency because you think it's what you're supposed to do. Don't hire a consultant because someone on Twitter said you should. And don't build an in-house team before you can afford to.

Hire based on where you actually are, what you actually need, and what you can actually measure. Everything else is noise.

- MM

I study Automotive Engineering Technology at McMaster University. I also run a marketing and consulting firm. And honestly, the engineering mindset is the single biggest competitive advantage I have in marketing.

Let me explain why.

Marketing Is a System

Most people think of marketing as a creative discipline. Coming up with clever campaigns, writing catchy copy, designing beautiful visuals. And sure, creativity matters. But at its core, marketing is a system. It has inputs, processes, outputs, and feedback loops, just like any engineering system.

Think about a marketing funnel. Traffic comes in (input). That traffic moves through stages of awareness, consideration, and decision (process). Some percentage converts into customers (output). You measure the results and optimize (feedback loop).

That's not creative work. That's systems engineering.

The best marketers I know don't just have good instincts. They have good frameworks. They understand cause and effect. They can isolate variables, run tests, and iterate based on data. Sound familiar? It should. That's the scientific method. That's engineering.

What Engineering Actually Taught Me

Precision Matters

In engineering, tolerances exist for a reason. A part that's off by a millimeter might not fit. A calculation that's off by one decimal might cause failure.

Marketing has its own version of precision. The difference between a 2% conversion rate and a 4% conversion rate might not sound like much, but it could mean doubling your revenue without spending an extra dollar on traffic. The precise word choice in a headline. The exact placement of a call-to-action. The specific audience targeting in an ad campaign.

Small differences compound into massive outcomes. Engineering taught me to care about the details that most marketers gloss over.

Systems Thinking Changes Everything

Engineering doesn't teach you to solve isolated problems. It teaches you to understand how parts of a system interact. When you change one component, what happens to the rest?

In marketing, this is critical. Your ad copy affects your click-through rate, which affects your cost per click, which affects your customer acquisition cost, which affects your profitability. It's all connected. If you optimize one piece without understanding the system, you might improve one metric while destroying another.

The marketers who build sustainable growth engines aren't the ones with the best creative ideas. They're the ones who understand the entire system and optimize it holistically.

The Concept of Quality Control

Engineering has rigorous quality standards. You test. You measure. You validate. You don't ship something that hasn't been stress-tested.

Most marketing teams ship campaigns based on gut feeling and hope for the best. They don't A/B test. They don't establish baselines. They don't have clear quality criteria for what "good" looks like.

Applying engineering-level quality control to marketing, defining success metrics before launch, testing variations systematically, documenting what works and why, is one of the simplest ways to reduce waste and improve results.

Growth Engineering Is a Real Discipline

This isn't just my personal philosophy. There's a whole discipline called growth engineering that sits at the intersection of engineering and marketing.

Chamath Palihapitiya assembled a growth team at Facebook in 2008 when the platform had plateaued at 90 million users. His team combined engineering, data science, and marketing to identify that getting a new user to 7 friends in 10 days was the key to retention. That insight, discovered through systems analysis, helped grow Facebook to nearly a billion users.

Sean Ellis, who coined the term "growth hacking," applied the same engineering mindset at Dropbox and LogMeIn. He didn't just run creative campaigns. He built systems that identified growth levers, tested hypotheses, and scaled what worked.

Today, companies like Productboard and Atlassian have dedicated growth engineering teams. These are cross-functional groups of engineers, designers, and product managers who approach growth with the rigor of a technical discipline.

Scott Brinker, known as the "Godfather of MarTech," started the Chief Martec blog in 2008 with a core premise: marketing has become a technology-powered discipline, and marketing organizations must infuse technical capabilities into their DNA. The distinction between marketing and technology is gone.

How I Apply This at Olunix

Every engagement at Olunix starts with systems thinking. Before we touch creative, before we run a single ad, we map the system:

Then we build. Test. Measure. Iterate. It's not glamorous. But it works.

I've since formalized this into a full methodology I call marketing systems engineering — a five-layer framework that treats growth like an engineering discipline. If this idea resonates with you, that article goes deeper into the practical framework.

The companies we partner with, mostly AI startups, appreciate this approach because they think the same way. They're building technical products. They expect their marketing partner to be equally rigorous.

Why This Matters for the Future of Marketing

Marketing is becoming more technical every year. The rise of marketing automation, analytics platforms, AI tools, and data-driven decision-making means the marketers who thrive in the next decade will be the ones who can think in systems.

If you come from a technical background and you're curious about marketing, lean into that. Your ability to think analytically, build frameworks, and optimize systems is exactly what the marketing world needs more of.

And if you're a marketer who's never thought of yourself as technical, start learning. Pick up basic analytics. Understand how A/B testing works. Learn to read data. The creative instinct is valuable, but pairing it with systems thinking is what separates good marketing from great marketing.

The best marketing doesn't feel like marketing. It feels like engineering applied to people.

- MM

If you've ever rebranded a company, you know it's not as simple as changing a logo. It touches everything. Your website, your messaging, your client relationships, your sense of identity. It's equal parts exciting and terrifying.

I want to walk you through exactly why we did it, how we did it, and what I'd do differently if I had to do it again.

Why We Rebranded

GrowByte Media was the name we launched with. It served us well in the beginning. It was descriptive: "Grow" + "Byte" communicated digital growth. Simple enough.

But as we evolved, the name started to hold us back.

We outgrew the name. GrowByte sounded like a marketing agency that runs Facebook ads. We were becoming something bigger: a consulting and growth partner for companies building the future. The name didn't reflect the scope of what we were doing.

It limited perception. When we'd get on calls with AI startup founders, they'd assume we were a traditional digital marketing shop. We'd spend the first 15 minutes of every call explaining that we were more than that. Your name is supposed to open doors, not create additional hurdles.

We moved upmarket. Our clients evolved from local businesses to funded startups. The brand needed to match the caliber of the companies we were partnering with.

Research shows that 57% of companies rebrand to update their identity, and 45% rebrand to reposition in the market. We were both.

Choosing the Name "Olunix"

Naming a company is harder than it sounds. You want something that's memorable, easy to pronounce, has an available domain, and doesn't mean something offensive in another language. That eliminates about 99% of options.

We explored three categories of names:

Descriptive names (like GrowByte) tell you exactly what a company does. They're easy to understand but hard to differentiate and nearly impossible to trademark.

Suggestive names (like Nike or Uber) hint at what you do without saying it directly. They create emotional connections and are more trademarkable.

Coined names (like Verizon or Spotify) are completely made up. They're unique and highly trademarkable, but they require more investment to build meaning.

Olunix is a coined name. It doesn't mean anything in any language, which was intentional. We wanted a blank canvas, a name whose meaning would be defined entirely by the work we do and the reputation we build. Research suggests coined names work best when the brand will be around for a long time and has the commitment to invest in building recognition.

We tested it with the "phone test": could someone hear the name once and spell it correctly? Could they find us online? Could they say it naturally in conversation? Olunix passed.

The Practical Steps

Here's the actual process we followed:

Phase 1: Strategy (Month 1). Before touching any visuals, we defined who we were becoming. What's our positioning? Who are we for? What do we want people to feel when they hear our name? This phase was all conversations: with each other, with trusted clients, and with mentors.

Phase 2: Naming and Identity (Months 2-3). We brainstormed names, checked trademark availability, secured the domain, and developed the visual identity. The logo, colors, typography, all of it needed to communicate what GrowByte couldn't: sophistication, strategic thinking, and a forward-looking perspective.

Phase 3: Client Communication (Month 3). This was the part I was most nervous about. We reached out to every active client personally, not via a mass email, but through individual calls and messages. We explained the why, reassured them that the team, the quality, and the approach weren't changing, and gave them space to ask questions.

Not a single client raised concerns. In fact, most of them said something like "Yeah, this makes more sense for what you guys do."

Phase 4: Digital Migration (Month 4). Website, social media, email addresses, directory listings, invoicing, everything got updated. We set up 301 redirects from the old domain to ensure SEO continuity. This part is tedious but critical. 42% of domain migrations never fully recover their original traffic levels if redirects aren't handled properly.

Phase 5: Launch and Reinforcement (Month 5+). We announced the rebrand publicly, updated all remaining collateral, and spent the following weeks reinforcing the new identity through content and outreach.

What I'd Do Differently

I'd budget more time for the naming phase. We moved quickly because we were excited, but I wish we'd tested the name with a broader group before committing. The more feedback you get early, the fewer surprises later.

I'd separate the brand change from the website redesign. We did both simultaneously, which made it harder to track what was affecting what. If possible, do them sequentially so you can isolate the impact of each change.

I'd communicate with clients even earlier. We told clients about a month before the switch. In hindsight, I'd give key clients 2-3 months of heads-up and involve them in the process. They appreciate being part of the journey, not just informed of the outcome.

Was It Worth It?

Absolutely. The rebrand wasn't just cosmetic. It was a statement about who we are and where we're going. Since becoming Olunix, the quality of inbound inquiries has changed. The conversations are different. Potential clients come in expecting a strategic partner, not just a marketing vendor.

The lesson here isn't that every company should rebrand. Most shouldn't. But if your brand is actively limiting how people perceive you, if you're constantly explaining what you actually do because your name gives the wrong impression, it might be time.

A rebrand isn't a distraction. It's an investment. But only if the story behind it is real.

- MM