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?

Working in /grey — /fashion. husband, girl-dad, design, writer, handyman, co-founder, identities. 

old FICO credit score for new users: "Start with 850 points, the theoretical maximum score. Everything is downhill from here." 

inspired by that, new users would have a 'max reply score' initially, which drops exponentially fast after a few interactions. existing users would only be annoyed for a short period

Not a task they are well-suited for and very slow / expensive.