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sahil
@sahil
Clanker Scores are now Live helps boost discovery and recommendation of high quality @clanker based on social context how? Clanker scores help discover quality clankers based on the social reputation of buyers/traders/holders. with openrank, you can leverage the reputation of farcaster users to create a reputation score for an onchain asset. Anyone can create their own clanker score using openrank, allowing for a free-market of asset scoring. available via an API now, onchain if there's demand. (DM to get access) what types of Clanker scores are available? - based on reputation of buyers, weighted by amount $ bought (live) - based on reputation of holders, but this can be sybil-ed (live) - based on recent/new clankers bought by reputable users (soon) - based on reputation of deployer (soon) this is just v1 for scores, will be fine tuned as we get more feedback from the community 👀 @proxystudio.eth @dish @nt @haole @div h/t @osuji.eth @ilemi
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Shashank
@0xshash
very cool. would be nice to add "recently trending clankers" from past 7d as a proxy for alpha
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sahil
@sahil
coming up next :)
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artlu
@artlu
awesome stuff. To clarify, is the reputation score based on social following, and not on trading activity (size of holdings, or history of paper hands, as examples)?
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sahil
@sahil
yep, this score is based on social engagement on farcaster. reputable users - those who receive good engagement from other reputable users clanker scores - multiple reputation scores of buyers with amount bought
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artlu
@artlu
can you help me gameplan this out? let's say a sociopath builds a sterling anonymous social reputation, then rugs. Would the community have to *unfollow* them en masse and how long/how much would it take for the OpenRank score of their token to fall?
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sahil
@sahil
in such a case, there's a few quick responses: - there's a report spam feature which flags the malicious user and they can be removed from the ranking. - asset scoring will use a variety of parameters so that one person doesn't have a huge sway. that's why eventually a free-market for scoring/prediction systems should exist. that's the only way community curation becomes more robust than centralized scoring systems. prediction markets are already showing us merits of this approach.
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