Product

Unpopular opinion:

Warpcast is very circle-jerk oriented at this point. Despite this issue being raised by many people here, it seems like the team doesnt find it important. 

https://x.com/safetyth1rd/status/1808419820322660481?s=46

Virtually all of the people on Farcaster with large audiences:

1. Don't have large audiences elsewhere (Farcaster is their first time with a large audience)

2. Didn't know me or Varun and didn't know each other. The "Farcaster OG scene" is net new creation of Farcaster.

3. Were early and stuck around when everyone made fun of Farcaster (and people still do)

4. Continued to cast interesting stuff, casted in channels when we suggested people cast in channels

5. Warpcast onboarding asks all users for their interests

6. Based on the interests, we pair the account with an initial set of follows

7. There are 200+ accounts on the list, weighted toward accounts that get the most engagement / drive retention, but a large group of people benefit

8. On our list to improve, but the reality is outside of "I should be on the list!" haven't seen any concrete proposals to improve

To be clear, I do NOT want to be on this list. 

If you read my grievance clearly, I am actually against the very idea of having such a arbitrary list for this core experience. Unless you want warpcast to be like a groupchat/discord server of 1000 people. 

This approach is a disaster at the scale beyond 1000 users. The core consumer experience turns insular.

building foodcheck
 // prev UX + protocol-design at rara social // Emergent Ventures Grantee //  hosting IRL meetups 

That's the harder problem and a worthy one to solve, instead of taking the easy(current) way out. 

No turnkey solution i can think of in 10mins(you need to hire someone full time to have a concrete solution for a core ux problem like this) 

some early ideas:
1. create a wider interest-graph of 10,000 most active users (and this number should grow with time) based on cast content semantic analysis. 

2. During onboarding, give 50% follow suggestions from the network neighborhood of selected interests.

3. Other 50% follow suggestions should come from a random shuffler from the rest of 10,000 user wide graph.

4. Post onboarding, no auto-follows. New follow suggestions should be coming via the casts they actively like or reply to.