I've been tinkering with an AI to increase my “luck surface area” (basically, to find interesting opportunities that exist across my entire network) and the results are ... pretty interesting.

Built on my corpus of personal & professional data - everyone I’ve met with, emailed, talked to, thousands of call notes, LinkedIn connections, emails, Slacks etc. Plus it does its own desk research on my contacts overnight (did that by itself without being asked, weirdly).

Example - it suggested I introduce Marco (an insurtech founder, hiring for multiple roles) to Ben (an insurance headhunter I really rate). It pieced that together through a combo of Granola transcripts, emails, LinkedIn messages, and internal Slack messages.

Powered by a social graph algorithm that scores relationships and potential intros - based on things like relationship strength, recency, communication style, and “likely-mutual-value”, etc.

I left it running overnight, and it:
> found people who have helped me with intros & advice, but where that help hasn't been reciprocated by me - then it suggested actions I could take to repay the favours
> remembered that a colleague described her ideal mentor to me in a meeting *a year ago* - found someone in my network with the exact right experience, and drafted an intro
> surfaced a bunch of insights about my own life - like a drop-off in social & fitness activity since becoming a dad(!) - and set up a local run club on WhatsApp

The suggestions are… surprisingly good! And devoid of the usual AI slop.

I talk a lot about luck surface area - putting yourself in situations where good things tend to magically happen. This is the first time I’ve built something that actually tries to increase that surface area for me and my network.

I’m quite encouraged by the results, and it was surprisingly easy to build (with @claudeai, of course). Happy to share how for anyone who is interested in building their own.

@bcherny