Technowatermelon. Elder Millenial. Building Farcaster. 

nf.td/varun

What are the best technical resources for building algorithmic social feeds? 

Feels like a great opportunity for farcaster to open source their findings and tech alongside the client to help level up the other clients in the ecosystem (including those that don’t exist yet)

cc @v

What specifically is wrong with their open source code, that you can’t build good feed engines with?

they don't have an incentive to help others build good feed engines

If open sourcing makes it easy for others to implement, X open source code should make it easy for anyone to implement a world class recommendation algorithm for a text based social network. 

This obviously hasn’t happened, so maybe the question worth asking is why?

Follow to get the best of Farcaster using @mbd - AI Recommendation Engine for Web3. @a16zcrypto css23. Ex-ML Lead @Chainlink. Ex-Sr Data Scientist @AWS.

for sure! but it's probably not in his interest to open source where i would argue it absolutely is in farcaster's case

pretty sure @yassinelanda.eth knows a thing or two

Make your app, feed or mini app feel more personal with AI powered recommendations. Incubated @a16zcrypto CSX'23 -  getembed.ai

I remembered v shared some thoughts before, not sure if they changed now 