>> best predictor of quality is "who likes your stuff"

this is very true

_who_ liked your cast is the top heuristic we use to clean up our Trending Feed API and it works most of the time 🪐

docs.neynar.com/reference/feed-trending

If you think in terms of Google PageRank, replies and likes, not follows, are the equivalent of links.

Follows = stated preference
Replies and Likes = revealed preference

Also I randomly lost 50ish likes on a cast today and this is causing a surprising amount of concern in my life 😅

Code4rena.com co-founder. Securityalliance.org contributor. Lover of books, poetry, collective knowledge graphs, and aligning on a big vision.

Fm! For my /books friends, I made us a crystal ball to see into our future 🔮

https://books-outcomes.vercel.app/api

I swear this cast had 100-ish likes yesterday

I swear this cast had 100-ish likes yesterday

https://warpcast.com/picnic/0x688b3d00

I want to get to know the bookish people here; how about an intro thread?

What are your bookish interests? What kind of reader are you? (h/t @fabianx for the great question)

https://warpcast.com/fabianx/0xfe1a9591

And I *think* this one had 130+

https://warpcast.com/picnic/0x467fc1e4

could be people running out of storage but that’s the fastest I’ve seen that happen if so