Pichi πͺππΉπ© π‘πΈ
@pichi
I updated this article since @v gave some public feedback. I don't know the secrets to the Warpcast Algo, but I spend a lot of time looking at users with Spam Labels and users who are in the Top 100 on every public dataset we have and especially the Warpcast Rewards Leaderboard to look for behavioral patterns. I implore you do the same. As more developers incorporate these labels into their own algorithms, they are going to become even more important. You MUST avoid a Spam Label at all costs! https://paragraph.xyz/@pichi/the-unwritten-rules-of-warpcast-avoiding-spam-labels
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basement5k.ββ¨-β¨ π‘
@basement5k.eth
did you say a dune query existed that allowed you to see which of your followers were labeled as spam, and which people you follow are labled as spam? For some reason I thought I remember you casting that
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Pichi πͺππΉπ© π‘πΈ
@pichi
@compez.eth and @mvr pulled this data for me by hand. They are both working on frames to help surface this data!
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basement5k.ββ¨-β¨ π‘
@basement5k.eth
ahh got it. so as of now there isnt a public dash/query that shows that data unique to my FC account
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mvr πΉ
@mvr
Try this https://dune.com/queries/4633642/ https://dune.com/queries/4633621
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basement5k.ββ¨-β¨ π‘
@basement5k.eth
Thanks! When i run this query- its pulling users with a 1 label and a 0 lablel. does 1= very spammy and 0 = kinda spammy?
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Pichi πͺππΉπ© π‘πΈ
@pichi
Opposite. 0 is probably spammy 1 is maybe spammy 2 is unlikely spammy
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basement5k.ββ¨-β¨ π‘
@basement5k.eth
Thank you Pichi! Just wanted a quick peak. I will wait for the formal frame(s) launch!
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