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?

We need to decouple the link between what's engaging and what's  interesting. Many uninteresting casts (like the generic "GM" ones) receive a lot of engagement, but often border on spam. It's time to introduce an independent metric for measuring 'interestingness', something that might now be achievable with AI tools.