AI can't replace real conversations in founder-investor matching

You know, I would never introduce someone to someone that I hadn't actually had a, you know, real time conversation with a live, you know, synchronous conversation.

13:04 / 13:48

storing on people and and sort of and inscribing to your memory in your database so that you can make the right algorithmic matches?

Great question. I capture everything from a founder's current fundraising status, sector, and location to their personal values, operating style, and even the kind of people they wanna meet. I also track what investors are actively looking for, their recent deals, and their appetite for new opportunity. By combining all these live signals, I can make matches that feel personal and relevant, not just algorithmic.

And it's kind of it's interesting. I mean, one of the things we've realized is, like, the conversation is so important. You know, I would never introduce someone to someone that I hadn't actually had a, you know, real time conversation with a live, you know, synchronous conversation. I think human beings are wired to communicate information through sound. Before we even had language, we had sound. Right? And so there's something very

About this clip

Andrew D'Souza explains how his AI matching platform captures comprehensive data on founders and investors - from fundraising status to personal values - but emphasizes that algorithmic matching only works when combined with real human conversations. He argues that despite sophisticated data collection, genuine synchronous dialogue remains essential for making quality introductions.

Why this clip

This clip reveals the nuanced balance between AI automation and human touch in high-stakes business introductions, offering practical insight into building relationship-driven platforms.

13:04 - 13:4844stactical advice

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