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

I quit a large audience on Twitter and joined Farcaster a year ago as a direct replacement. I didn't know Varun or Dan, and indeed, anyone else active on Farcaster at the time. While "the list" made sense early on, it should be opt-in recommendations now - the engagement inequality is very real. 

This is made worse by the hyperfinancialization, where a handful of those people are incentivized to be very active, while a vast majority of the rest are bots. (IMO, as a casual observer nowadays) Farcaster right now should be aggressively focused on social values over financial values (and yes, this is a very direct contradiction and trade-off) - in design, engineering, and most importantly marketing. Unless the terminal addressable market target is degens, which is fair enough.

Not sure how "the list" is generated, but the general onboarding style that seems to be well adopted is suggestions based on interests.

There should be sufficient data now to develop a graph of users who are "good" subject matter experts across popular domains.

We spent two years at my last company thinking about this problem, that ended up in a research project with the Turning institute. 

Would recommend having a quick read, it's not too dense.

(🏗️, https://lighthouse.cx)
 (🎥,  /cinema-stills) , (⬛, /textures), (🌊, /emergence)


We spent two years at my last company thinking about this problem, that ended up in a research project with the Turning institute. 

Would recommend having a quick read, it's not too dense.

https://www.turing.ac.uk/news/publications/data-study-group-final-report-entale