Dan Romero pfp
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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Vinay Débrou ⚙️ pfp
Vinay Débrou ⚙️
@vinaydebrou.eth
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.
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Dan Romero pfp
Dan Romero
@dwr.eth
What content do you show new users?
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androidsixteen pfp
androidsixteen
@androidsixteen.eth
Why not decouple the follow list and initial feed content? Show them the content from the most popular / followed users, but let them follow whoever they want I think by stripping agency at the beginning, people are feeling astroturfed
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Frank pfp
Frank
@deboboy
Firehose; i.e. casts from all users… early Twitter did this and it was awesome
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Jorge Pablo Franetovic 🎩 pfp
Jorge Pablo Franetovic 🎩
@jpfraneto.eth
you develop an algorithm that gets the N best casts of the previous 24 hours and show them a feed with 100 of those, then 100 of the remaining, etc based on which ones they read (by understanding where they stopped) you develop a preference that doesn't require them to tell you what they care about the onboarding you have in place now is a giant mass of friction, and the first thing i do when i invite people in here is to unfollow the list of 70 people they followed programatically
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Vinay Débrou ⚙️ pfp
Vinay Débrou ⚙️
@vinaydebrou.eth
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.
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AJ pfp
AJ
@awedjob.eth
I engage them in conversation based on my perception of our mutual interest. Typically I look at their casts, artwork, or other engagements and say something positive or ask a question to learn more about them.
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Nate Maddrey pfp
Nate Maddrey
@nmadd
I agree with @vinaydebrou.eth. I get you're trying to solve for cold start but it feels like warpcast has outgrown the concept of having a group of initial suggested users. It creates am insular dynamic and is basically impossible to scale. Why not start with suggested channels instead of users? Or just start with an "intro feed" as @androidsixteen.eth suggested that does not push specific follows?
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