8 posts in this category
Luara set out to build an AI companion for the lonely. Therapists said it was too risky, so the founders rebuilt it as a copilot for psychologists instead.
Every tool in your stack now claims AI. The label tells you nothing. Here is how to tell a bolted-on feature from a workflow that was truly built around it.
AI made polished decks free, so presentation no longer tells you which startups are strong. For anyone screening at volume, that quietly breaks the funnel.
Venture funding hit records in early 2026, but almost all of it went to a handful of AI giants. What that concentration means for everyone else raising.
Investors review startups they were never going to back; founders pitch investors who were never going to bite. Why the mismatch happens, and what fixes it.
The weaknesses that sink a fundraise are usually the ones the founder cannot see. Here is why that blind spot exists, why it costs investors too, and how to close it before the first meeting.
How Max Ventures' data-driven system is picking Europe's next generation of breakout startups and winning.
Most investment theses live in an investor's head, which means they cannot scale, cannot transfer, and cannot be acted on systematically. Here is how the shift to explicit, data-driven theses is changing both sides of the early-stage funding table.