Product

People don’t want to see uninteresting replies and casts.

Best way to solve for that is weight historical inbound engagement for a user, i.e. PageRank-like score for every user.

Disproportionally hurts new accounts. Making it harder to get started.

maybe this could be counterbalanced by an algo boost for new accounts with interesting casts?

How do you know what new casts are interesting before they have engagement?

If you had infinite compute you could train an LLM on existing casts to estimate how interesting a new cast would be. For accounts younger than x days, thats the score you'd use. After that, you're back with the usual engagement metrics 😛 

(but you prob don't have infinite compute, so its a very hard problem)