How do AI companies scale this fast without breaking?

Eight figure revenue in competitive markets. Products that double revenue in a single month. Customers who tattoo your logo on their body. Not growth hacks. Not hype. Real traction, earned the hard way.

Brendan Hill sits down with Daniel Slater from Relume, Liam Millward from Instant, and Sally Yu from King River Capital to unpack what actually drives breakout AI companies in 2025. The answer is not building more features. It is obsession with distribution, ruthless focus on speed to value, and teams that move faster than their competitors think is possible.

Relume did not start as an AI startup. It started as an agency. Building websites manually, feeling the pain firsthand, and removing the work that should never have existed. Instant did not find product market fit once. It found it three times, killing products, rebuilding teams, and learning the hard way that revenue without stickiness is a mirage. And from Silicon Valley, Sally Yu shares what she sees across the fastest growing AI companies in the world, why community is becoming the real moat, and why founders with unwavering conviction now win disproportionately.

They talk candidly about churn, mistakes, hiring A players, monthly execution cycles, and why most AI products fail not because the tech is bad, but because the company moves too slowly. This is a conversation about momentum. About earning distribution. About building products people would fight to keep.

If you want to understand how modern AI companies actually scale, and what it takes to stay ahead once you do, this episode is for you.