Matthew
@matthew
last chance to sign up for a @coffeebot chat this week! Drop your telegram at the cast below to join 😃☕️ farcaster://casts/0x9661add1165bd8a6978f01f48262db62ab0de82529939325cf306c8562c7b6bf/0x9661add1165bd8a6978f01f48262db62ab0de82529939325cf306c8562c7b6bf
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Daniel Svonava
@svonava
Hey @matthew, want to take @coffeebot up a notch and match people smartly based on what they do on the app? Ain’t nobody got time for random intros! (most churn after 2-3 random matches, this is what killed lunchclub.com - their matches were bad + the avg user quality went down).
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Matthew
@matthew
what would you want to see beyond random matches? @ishika and i have talked about making it more personalized! re lunchclub, i think what killed them is that people don’t want to pay for things they think they can get for free— e.g. intros to new friends. Also, the pandemic. And raising as an “AI” company.
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Daniel Svonava
@svonava
It’s very hard to scale a social experience without making the discovery actually smart - matching more senior people with other more senior people, matching people with a higher chance to collaborate or enjoy each other because of enough similarity in preferences, yet not totally the same.
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Daniel Svonava
@svonava
In a typical community or an event, there are <5% of people you actually want to meet and talk to. This fraction goes lower as communities go mainstream. Source: we have done 3k intros for 20+ professional communities with a demo app we build for our social personalization API.
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