Dan Romero
@dwr.eth
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
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androidsixteen
@androidsixteen.eth
On #8, it's hard to propose a concrete proposal when the auto-follow list and process for determining it are opaque If there was more info on how it worked, I think people might be able to suggest modifications. Otherwise, you either get polarization for or against the black box
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Dan Romero
@dwr.eth
1. Look at the list of the top 100 most followed accounts on the protocol. 2. Suggest other accounts that should be on that list. 3. Obviously that will have a strong personal bias, but if no one is willing to take the time to do that, my sense is the list is good enough (sure there can be 1-2 improvements, but that's less of a priority vs. 50/100 being wrong).
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androidsixteen
@androidsixteen.eth
Is it just a random selection of 50 from the most followed 100 (or 200) at any given time?
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Dan Romero
@dwr.eth
It's based on what interests you select and the overall engagement each person gets, historical output / quality (subjective pov, but so was the onboarding approach for the first 10K). Then there is an additional set of users that is random in both number and users that get added at the end.
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