The Quiet Revolution: How GenAI Made Us Better Founders

There's a version of the AI story that gets told a lot. It's about automation, cost savings, headcount reduction, and competitive moats. It's a perfectly valid story. But it's not the one I want to tell here.

The story I want to tell is more personal. It's about what happened to me, and to us as a founding team, when AI quietly absorbed a significant chunk of what used to consume our days. Because what happened on the other side of that was unexpected, and honestly, it's made me more optimistic about building companies than I've been in years.

Where We Were

If you've followed Whoppah's journey, you'll know we've never taken the easy road. Since we launched in 2019, we've built and rebuilt, experimenting with pricing models, logistics infrastructure, cross-border expansion, M&A, and more category pivots than I care to count publicly. We've raised €22M, acquired companies in France and the Netherlands, internationalised across sixteen countries, and built a proprietary tech stack from scratch: web, iOS, Android, backoffice, AI moderation, the lot.

By late 2024, we had reached a kind of inflection point. After years of what I'd describe as "productive chaos," we made a deliberate choice to trade volume for quality. We reduced GMV intentionally, tightened our team to 16 FTE, and shifted our entire operating philosophy toward unit economics and structural profitability. We went from -€5.4M EBITDA in 2024 to -€390K in 2025, a €5M turnaround, while actually improving almost every qualitative metric that matters: repeat buyer rates, app adoption, listing quality, and ad creation time (from 5 minutes to 30 seconds, thanks to AI).

That's the headline. But behind it is something I find more interesting.

The Thing Nobody Told Me About GenAI

When most people talk about generative AI in a business context, they talk about what it replaces. Tasks. Roles. Workflows. And yes, that's real. We've seen it firsthand at Whoppah. Our engineering team is shipping faster. Our content pipeline runs leaner. Our customer support is increasingly augmented by AI that resolves queries before a human ever touches them.

But for me, the more profound shift has been about what AI returns.

It returns time. And specifically, it returns the kind of unstructured, generative, founder-brained time that gets squeezed out first when you're running a marketplace startup with a lean team and a long list of fires to fight. The time where you actually think.

I'll be honest: for much of 2022 and 2023, I was operating in a mode I'd describe as reactive intelligence. Smart enough decisions, fast enough responses, but rarely with the depth I wanted. The strategic conversations I wanted to have with myself, with my co-founder, with our team, they kept getting pushed to "when things calm down." And as any founder knows, things don't calm down.

GenAI changed the ratio.

What I Actually Do Differently Now

I want to be specific here, because I think vague claims about "AI making us more productive" are almost useless.

I spend more time with individual team members. Not team meetings, individual conversations. The kind where you actually understand what someone is struggling with, what they're proud of, what they need. This sounds obvious, but when you're context-switching 40 times a day, it's the first thing that disappears. It's back now, and the effect on team morale and retention is tangible.

I stress-test our strategy more rigorously. One of my favourite uses of AI is to argue against my own ideas. I'll spend 30 minutes with an AI model playing devil's advocate on a strategic decision, a pricing change, a potential partnership, a feature priority, before I bring it to the team. It's like having a well-read, tireless sparring partner available whenever I need one. The quality of the decisions that come out the other end is genuinely higher.

I think about customer experience in more depth. We're building a marketplace for secondhand design interiors, a category with real structural headwinds: low purchase frequency, complex logistics, trust gaps, discovery friction. These aren't problems you solve with a sprint. They require sustained, creative thinking. I now have the mental bandwidth to sit with these problems properly. To map out flywheels. To think through second-order effects. To ask "what would need to be true for this to work at 10x the scale?"

I invest in my own development. This might sound self-indulgent, but I think it's one of the most important things a founder can do, and one of the easiest to deprioritize. I'm reading more. Thinking more about my own leadership patterns. Working on how I communicate, how I build, and increasingly, how I share what I've learned. This blog, for instance, is part of that.

What This Means for Whoppah

The timing of this shift matters. Because 2026 is shaping up to be one of our most exciting years yet.

We're rolling out a new owned logistics solution for bulky items, "Whoppah Go," which we believe is a genuine structural moat in a category where last-mile delivery is a persistent pain point. We're launching AI Image Search, which tackles one of the category's most stubborn problems: the discovery paradox of unique, hard-to-describe secondhand items. We're experimenting with new pricing models that should improve both revenue predictability and seller satisfaction. There are many more things I could mention which we consider secret weapons coming up.

None of these are small bets. All of them require exactly the kind of sustained founder attention that had become scarce, and is now, thanks to AI, available again.

The Real Competitive Advantage

I've been thinking lately about what actually differentiates great founding teams from good ones. Technical skill matters. Domain expertise matters. Network matters. But at the core, I think it comes down to the quality of thinking, and specifically, the ability to think clearly when the pressure is high and the information is incomplete.

For a long time, that capacity was under strain. Not because we weren't capable, but because the operational surface area of running a real, complex, cross-border marketplace is enormous. There's always something demanding your attention.

What AI has done is compress that surface area. Not eliminate it, the complexity is still there. But it's become more manageable. And in the space that created, something valuable returned: the ability to actually founder again.

To imagine. To challenge. To build with intention rather than just momentum.

That's what I'm most grateful for. Not the automation, though that's real and valuable, but the reclaimed headspace. The restored capacity to be genuinely present, both at work and for the people I'm building with.

A Note on the Bigger Picture

I'm aware this is an optimistic take, and I want to acknowledge that the AI transition isn't painless for everyone. Teams are getting leaner, ours included. The nature of work is changing faster than most organisations can adapt to. These are real tensions, and I don't want to paper over them.

But for founders specifically, for people whose core job is to see clearly, think originally, and make good decisions under uncertainty, I genuinely believe we're entering a more productive era. The tools available to a small, sharp founding team today are extraordinary. The gap between a 5-person team with excellent AI tooling and a 50-person team without it is closing fast.

At Whoppah, we've proven over six years that you can build something genuinely valuable with fewer resources than you'd expect, if you stay focused on what matters, stay honest about what's not working, and keep iterating with discipline. AI doesn't change that philosophy. It amplifies it.

And right now, I've never felt more ready to build.