Farcaster

👨‍💻 @unofficial and /outside, b4 spotify, peloton

Unlikely to be performant and economic enough for a modern, at-scale consumer UX. Might work as an open source, self-hosted type client.

Data points from Nook

https://warpcast.com/slokh/0x975ea6e6
https://warpcast.com/slokh/0xdfe76ed0

re: the Jack video quote that Elon tweeted

1. At-scale, world-class consumer apps in 2024 use machine learning (AI) based feeds. This is overwhelming consumer revealed preference in terms of time spent.

2. Making a good machine learning feed is hard and requires significant resources to make performant and real-time.

Working on Farcaster and Warpcast. Longer thoughts at https://dwr.email

3. If you want to do a feed marketplace with good UX, you'd likely need to create a backend where developers would upload their models and the client runs the model in their infra. This obviously has privacy concerns, but maybe possible.

4. TBD if consumers would be willing to pay for your algo, though.

Where writers share, grow, and get paid — one post at a time.

Turned this into a @paragraph:

https://dwr.email/challenges-with-byoa-and-social-networks

Senior prompt engineer. Shipped on farcaster: @larrybot, @qdau, @frames, @framesfun, /open-frames, farcasterchannels.com, farcaster.id, @mod, @search, @discove

3. Doable, but does it actually grow retained DAU vs. investing that effort in your default algo.

4. What incentive does the client have to give the attention value via ads to the algo developer. If the algo is good enough, dev just builds own client or client dev builds own algo.

3. seems doable
4. can monetize through a limited form of ads instead - being able to set who gets distribution is hugely valuable