Nico.cast🎩
@n
Working on a ML model which will output an 'address score' similar to how credit scores work (~low is 300-500, mid 500-650, high 650+) some interesting data: me: 529.52 @alexpaden: 567.79 @cassie: 685.06 @jc: 698.19 @dwr.eth: 663.29 @dcposch.eth: 752.81
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Victor Ma 🧾
@vm
love that you’re tackling this nico, and I think framing it on a scale that’s already familiar is smart
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Nico.cast🎩
@n
Thanks Victor! I think there's a good opportunity in eliminate traditional centralized score biases (working in fintech the assessment can be pretty inaccurate) e.g. if any entities (like NFTD) can have a customized scoring algorithm the final score will be balanced assessment of an individual's reputation.
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