Breakthrough AI Operators

The most advanced AI operating model in this episode wasn't built from a strategy deck. It was built from desperation — and that turns out to be the best design constraint available. Miloš Djurdjevic is co-CEO and co-founder of heyData, a Berlin-based compliance platform that scaled to several thousand customers, closed a $16.5M Series A, and kept the team at 60 people — on purpose — while running more than 14 AI agents in marketi...

Most AI adoption failures at growing startups aren't technology problems. They're a founder who is moving fast, surrounded by a team that isn't — and a growing gap between the two that no new tool subscription will close. Roland Siebelink is co-founder of Midstage Accelerator, who has helped scale three unicorns across three countries — each from roughly 10 to 1,000 people in three years — before spending the last decade advising ...

Most PE investors see a 25-year-old automation business in 2026 and calculate the half-life. Ali Evans saw the one thing AI can't replicate overnight: trust earned over decades of client relationships. The conventional move would have been to exit before disruption. He acquired the company instead and stepped into the CEO chair. Ali Evans spent years at Francisco Partners and Riverside writing checks and sitting on boards before l...

Open source AI models are now just 3-5% behind the best closed source models on benchmarks — about six months of lag time, not five years. If you're building an AI infrastructure company on the assumption that OpenAI or Anthropic will maintain a permanent lead, your moat is disappearing faster than your revenue projections assume. Most founders at the $3M–$20M stage are still over-indexed on model selection and under-indexed on in...

Every cap table company in Silicon Valley is burning venture capital chasing growth. Tom Milar built one that makes money instead — and he did it without ever raising a pre-seed round, despite managing $300 billion in client assets for companies including Perplexity AI. The question this episode refuses to let go of is whether the VC-fueled growth playbook has become so normalized that founders have forgotten there's another way to...

Most founders who return to a company they once built come back to fix operations. Daniel Hanemann came back to WunderTax to find a company with 25 people, a plateauing market, and a unicorn competitor with 100x the marketing budget — and decided the answer wasn't to compete harder. It was to stop competing on the same terms entirely. The question this episode forces is one most SaaS founders never think to ask: what if the fastest...

Most fintech companies build products for people who already have access. Kikoff was built by someone who didn't. The question this episode forces a founder to sit with isn't about market sizing or product-market fit — it's about whether you actually understand the cost your customer pays when your product doesn't exist. That number, by the way, is a q...

Most fintech infrastructure is built to sell. Features designed for pitch decks. Prices set for markets. Products shipped fast. The result? Platforms everyone tolerates — but nobody loves. In the latest episode of Scaling Without Breaking, host Roland Siebelink sits down with Robin Gandhi, Chief Product Officer at Lithic — a card issuing processor built for high-growth technology companies — to unpack the one principle Robin bel...

Building the “perfect” product sounds like the right move.

It wasn’t.

In this episode of Scaling Without Breaking, host Roland Siebelink sits down with Glenn Richmond, Founder & CEO of Fieldmagic, who nearly killed his startup by over-engineering it from day one.

Enterprise-grade architecture. Zero-downtime deployments. Full DevOps pipelines.

All built before meaningful customer feedback.

The result?

Months-long release cycle...

Mental health assessments rely on what people say they feel.

But what if words aren’t the most reliable signal?

In this episode of Scaling Without Breaking, host Roland Siebelink sits down with Bechara Saab, Co-Founder & CEO of Mobio Interactive, who is building technology that uses biomarkers from a simple selfie to assess mental well-being.

No long surveys. No biased self-reporting. No guesswork.

Instead, the conversation exp...

Early-stage startups feel like a series of small decisions.

They’re not.

In this episode of Scaling Without Breaking, host Roland Siebelink sits down with Anthony Rose, Founder & CEO of SeedLegals, to explore the reality founders face when every decision can shape the future of their company.

No perfect playbook. No guaranteed outcomes. No “safe” path forward.

Instead, the conversation focuses on making high-stakes bets, naviga...

Returning to the company you founded sounds like a victory lap.

Except, it wasn’t.

In this episode of Scaling Without Breaking, host Roland Siebelink sits down with Erki Koldits, founder of Kontaktikeskus, who once scaled the company from 25 to 250 employees — making it the largest call center in the Baltics.

Then he stepped away.

Years later, he received the call no founder wants: the company had become a rudderless ship.

So Erki ...

He spent nearly three-quarters of his $16M in funding.

Not on bad hires. Not on a failed product. But on the wrong go-to-market playbook.

In the latest episode of Scaling Without Breaking, I sat down with Neil Cresswell, Founder & CEO of Portainer, who openly shares how chasing product-led growth in a market that didn’t buy that way nearly derailed his company.

Investors wanted PLG. The market needed enterprise sales.

And when...

Scaling to 8,000 merchants sounds like a hiring story.

It wasn’t.

In this episode of Scaling Without Breaking, host Roland Siebelink sits down with a founder who built a merchant network of 8,000+ — with a team of fewer than 70 people.

No bloated org chart. No endless layers of management. No “just hire more people” solution.

Instead, it was about operational discipline, clear positioning, repeatable systems, and the courage to say...

Scaling looks glamorous until enterprise customers start pulling you in ten different directions.

Ashish Agrawal built an AI company serving NBC Sports, Comcast, the PGA Tour, WWE, and U.S. Olympic teams—with just 11 people, no outsourcing, and no external funding. The secret wasn’t working harder. It was refusing to fracture the product.

In this conversation with host Roland Siebelink, Ashish breaks down what it actually takes...

Some companies are built fast. Others are built to last.

This conversation is about the second kind.

Tayfun Bilsel spent 14 years building Clinked.com into a profitable, multi-million-pound SaaS business without venture capital, without chasing growth for growth’s sake, and without losing control of what mattered most: customers, trust, and long-term thinking.

We talk about what bootstrapping really costs, why white-labeling ...

What actually breaks when a company scales—and why does it so often happen between 30 and 100 employees?

This conversation with Matt Blumberg goes straight to the uncomfortable truth: most companies don’t stall because of product or market fit. They stall because the CEO hasn’t scaled yet.

Matt has built companies from zero to $100M+, served as CEO and executive chair, advised hundreds of founders, and written the go-to books o...

For years, sales leaders were taught to avoid POCs at all costs.

They slow deals down. They spiral out of control. They kill momentum.

So what happens when a longtime CRO—who preached that exact advice—becomes CEO of a company built to automate POCs?

This conversation gets into the uncomfortable truth: POCs aren’t the problem. The way most teams run them is.

Steve Davis, CEO of Provarity, has spent three decades in Silicon...

At some point, every growing company hits the same wall: too many tools, too many decisions, and not enough clarity on what actually matters.

In this conversation with Sven Sabas, founder of Dragonfly, we get very real about one of the most expensive mistakes scaling teams make—building when they should buy.

Sven shares a firsthand story of spending millions and 18 months building foundational tech that already existed, why eng...