Using AI to map the multidimensional space of founder-investor chemistry

that comes very naturally to us. And so, you know, a lot of people are skeptical of, like, well, couldn't I just scrape all this data off LinkedIn or Crunchbase or whatever? And I think when you've had a twenty, thirty, forty minute conversation with a founder and an investor to really understand, like, what why is this founder the only person on the planet that could build this company at this time? Right? And, like, why are they uniquely positioned? What is their you know, what really drives them? And the same thing for the investor. Like, what is their worldview? What is their unique worldview that nobody else shares? What is the reason the founders choose to work with them over every every other investor? Yeah. When you really pull that out of people, I think that's the nuance that we can map into this sort of, really, for the first time, map into this sort of multidimensional space and and use that for matchmaking.

What what I'm really fascinated by is this this idea that, you know, humans a a smart, insightful human