The hidden trust currency that makes or breaks startup introductions

of basically the answer that Baldy just gave in in how you sort of make the right algorithmic matches and gauge the quality of another person's sort of insight or whatever?

18:49 / 19:36

of basically the answer that Baldy just gave in in how you sort of make the right algorithmic matches and gauge the quality of another person's sort of insight or whatever? Do you think about NorthStar metrics in terms of that sort of signal to noise ratio, like how many people are accepting an introduction request versus declining? Because you gotta keep that number high enough. Right? Otherwise, people will start to ignore the the requests.

Exactly. Exactly. So so that is you know, the hard qualitative metric is, like, what is the match acceptance rates when boarding proposes an introduction? How many people actually accept that introduction? And then the more interesting metric that we haven't yet figured out how to measure accurately is this concept of goodwill. So when I introduce two people, and I have a goodwill sort of trust bank with everybody I've ever met. When I introduce two people, I am gambling that goodwill with both people. Right? I'm like, okay. Well, I think those two people will will get a lot. And sometimes I know that I'm asking for a favor, right, from somebody, and I know I'm dipping into that goodwill bank. But if I, you know, if I make too many bad introductions,

About this clip

Andrew D'Souza explains how Boardy measures success through introduction acceptance rates and discusses the concept of 'goodwill banking' - how every introduction you make either builds or depletes your social capital. He breaks down the strategic thinking behind making connections and the risk calculation involved in spending your reputation currency.

Why this clip

This clip reveals a sophisticated framework for thinking about networking as a measurable asset with quantifiable risks and returns.

18:49 - 19:3647sframework

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AI reduces humans to data points but great connectors see multidimensional people

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