32 posts in this category
Time-to-decision decides which deals a network sees, not just how it treats founders. What the data says about the clock, where deals leak, and what to measure.
Founders plan raises on anecdotes. The dated data says four to six months, dozens of investors, and meeting counts that separate winners far more than list length.
Warm intros convert better, but partly because of who gets them. What the sourcing research shows each channel filters out, and what a network should track.
Why 15 to 25 companies keeps turning up as the angel diversification threshold, what the return data shows, and what it means for networks setting their pace.
The evidence on accelerators is better than most people think and narrower than most people want. The useful question is which program, for which outcome.
Most of what an investor network processes is a rejection, and almost none of its process design covers one. What a usable no contains, and what silence costs.
The committee is where a deal becomes a decision. Much of what determines the outcome is process design rather than the merits of the company.
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.
Most angel networks measure activity: deals seen, meetings held, members signed up. Here is why that misses the point, and what to track instead.
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.
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.
How Max Ventures' data-driven system is picking Europe's next generation of breakout startups and winning.