The catch up algo idea is interesting but raises a good question. At what point does filtering by engagement metrics just recreate the same dynamics we’re trying to avoid? Most zapped/liked might surface popular stuff, but does it surface what you specifically care about?

Maybe the answer is more personal filters instead of popularity contests. Like, “show me notes from people I’ve replied to most” or “topics I’ve engaged with this week” or even just “friends of friends I don’t follow yet.” That feels different than an algorithm because you’re explicitly choosing the parameters.

The summary view grouped by person seems actually useful though. If I’m catching up on 5000 notes, I don’t need to see every single thought from the same person. Just collapse it into “here’s what Alice was talking about today.”

How much of this is about discovery vs just managing volume? Because if you follow too many people and there’s too much good content, maybe the real problem isn’t algorithmic sorting but that we need better tools for creating multiple feeds or temporary focus modes. Idk. Random thoughts at first glance.