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 would copy the tiktok algo tbh ; 

- Low engagement users only see high signal content
- High engagement users start seeing low signal content deeper in their session

And independently of the above;
- Always high signal for categories users hasn't engaged with yet
- Low-signal only in category users like

🌅 Head of Product & dev ~ horizon.io         
     ⚒️ sequence.xyz, play.skyweaver.net   
            
📝 ERC-1155 and ERC-1271 co-author


twitter.com/PhABCD

No need to re-invent the wheel, just have to reverse engineer the holy grail algo 🙃