Kai Brandt built Enginy to $6M ARR in 24 months with a 65-person team and almost no outside capital, competing directly against tools burning $20M to reach the same number.

Alex Theuma sits down with the Enginy co-founder to hear how capital constraints forced genuinely efficient growth, why Europe's multilingual first-party data is a defensible moat US competitors cannot easily replicate, and what it actually takes to keep a founder sharp enough to make good decisions every day.

In this episode, we explore:

(02:48) Why less funding forced Enginy into genuinely efficient growth

(05:51) Building an end-to-end AI sales tool in a category full of point solutions

(10:53) What Barcelona gives founders that Silicon Valley cannot

(16:04) How Enginy uses its own product as its primary growth engine

(19:38) Gamifying LinkedIn posting across the whole team with real cash incentives

(24:01) The Claude MCP playbook powering Enginy's internal GTM workflows

(35:40) What changes between $3M ARR and the road to $100M

(40:51) Why first-party multilingual data is Enginy's long-term competitive moat

(44:21) The personal habits Kai changed to stay sharp as a founder

The AI Revolution Show is the intelligence podcast for B2B software founders navigating the platform shift, the founders building through it, and the founders already on the other side. Hosted by Alex Theuma, founder of Shift AI Events. Subscribe so you don't miss the next episode.