Mani Mohan on Farcaster

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Last night, I began analyzing the Farcaster Pro data (basescan API + Neynar to retrieve user information using the wallet address). Found some interesting insights. I will write about a few, and attach the GitHub repos for anyone who wants to analyze them further. This is the data for the first 24h.

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1195 users with 0 followers, 1289 with 1-10, and 125 with no valid acct(?). Using neynar v2/farcaster/user/bulk-by-address Transactions plateaued after the 10K number hit. Expected, I guess.

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Neynar score distribution for all pro users. Median 0.5, majority in the medium range. Pro != high_quality_users I'd assume. Dunno how the metric is computed. (cc @rish )

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Next is follower counts. Folks with <= 10 followers are about 1/4th of the subscription. I manually went to their FC profiles (random 10 of them) to make sure it's not a bug in the code.

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FID vs. score also looked interesting (note: this data is only available for Pro subscribers).

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And this was for unknown users. Spiked around 1615 PST. I dont know how this works, am a crypto noob. Is it possible that a bunch of addresses just did the token transaction so that they will get the NFT airdropped? Or a bug with the API? I only tried retrieving info once. @neynar

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Link for anyone who want to explore further. Make sure to keep the transaction json file in parent directory, the basescan api only returns last 10k transactions. Reply/DC if you find any bug - I tried to verify the data manually as much as I can. Link: https://github.com/manimohans/fc_pro_analytics/

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You can also have fun by dragging and dropping the csv file into your favorite AI. Screenshot from Gemini here.

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awesome insights, but I'm confused, are we saying that there are bots who also subscribed or newly joining people subscribed immediately to gain attention?

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