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.

I think at the Warpcast-level, it’s still interesting to track who invited whom. New accounts can inherit a fraction of their inviter’s engagement score. 

Sometimes I invite/gift people & I’m worried they won’t easily have a way of having their content discovered and I wish I could “vouch” for some of them

Very few people are invited relative to permissionless sign ups.

Ah interesting! 

Other thing would be cohort grouping based of content/behavior of wallet eg if people with nouns in their wallets and have owned ENS for 4+ years generally have high engagement scores then a new account with similar properties can start with a fraction of that cohort’s median score.

But I’m kind of shooting in the dark there. I intuitively expect that there is some ML way of cohorting user engagement based off wallet behavior but I could be completely off.