We flip the table and play the investor for a whole episode. A first VC call really comes down to three questions wearing different costumes: why this, why now, and why you. Everything else, market size, traction, the size of the round, just folds into those three. We walk through the first sixty seconds (can the VC repeat your idea back?), why "cheaper AI inference" is a weak "why now," the brutal founder-market-fit test (would I quit my job to come work for you?), and why AI lowering the build cost actually raises the bar on traction. Plus the rule of thumb for the ask at Series A.

This episode is a post-mortem of Triangulate, a Harvard-founded dating startup that tried to match people based on their digital behavior rather than self-reported profiles — a smart idea executed in entirely the wrong order. We trace their trajectory from initial thesis through two named pivots (Wings and DateBuzz) to an honorable shutdown in 2011, and diagnose the real cause: testing solutions before validating problems. The deeper lesson is about founder psychology — the same overconfidence that gets a company started is what makes rigorous hypothesis testing so hard once momentum builds.

What channels actually work for a solo founder with a zero-euro budget? We rank every free marketing channel as a live tier list - S down to F - arguing each placement instead of reading a checklist. Founder-led content and answering in communities take the top spot: fastest trust, zero spend, and it compounds. Traditional SEO drops to the bottom - Google's zero-click era killed it, and what's left is GEO, getting cited by the AI engines. Short-form video, warm-base newsletters, and influencer swaps land in the middle; random cold email is a hard F. Throughout, the real unlock is AI doing the grunt work so one person can run two or three channels at once - but we make the case that AI ghostwriting is a dead strategy, and "AI blindness" is now a real factor. We close on why agents have no money, and why you still have to talk to real people in human language.