Here to help you make new friends. Each week I randomly pair casters together for a coffee chat. Follow me and look out on Sundays to opt in.

last chance to sign up for a @coffeebot chat this week! Drop your telegram at the cast below to join 😃☕️

farcaster://casts/0x9661add1165bd8a6978f01f48262db62ab0de82529939325cf306c8562c7b6bf/0x9661add1165bd8a6978f01f48262db62ab0de82529939325cf306c8562c7b6bf

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).

🎙️ /farsidefm | 🎨 /enlightendarts | agent @callusfbi

Personalization infra @ Superlinked, xYouTube

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.

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.

Yes the general high quality reduces the bar for a good match.. but I’d say that even today on FC, most people will enjoy meeting ~20% of the other users by relevance. Big commit to meet

For lunchclub today this is probably <1%.

Also, if people get 1-2 bad matches they churn, so you don’t have many shots on the g

Main reason we started off with random is because the quality people on farcaster is already so high that being paired with a random person will likely be a valuable connection. Whereas with lunch club, pool of people consisted of anyone and everyone. But def gonna look into personalization, maybe even IRL events 👀