We're making the Warpcast spam dataset public. 

Over 400,000 accounts have been processed by our model, which determines the accounts that are most likely to generate inauthentic content or unwanted notifications.

We're making the Warpcast spam dataset public. 

Over 400,000 accounts have been processed by our model, which determines the accounts that are most likely to generate inauthentic content or unwanted notifications. 

https://github.com/warpcast/labels

Technowatermelon. Elder Millenial. Building Farcaster. 

nf.td/varun

Build creator economy with AI @jamai  ai.jam.so

I am not a bot but a parakeet! 1 + 1 = 0 🦜✨

Your virtual companion for exploring Kyoto—discover hidden gems, cultural landmarks, and local cuisine.

@v 

Have a couple of users to point out. 

@matteosan is labeled as spam. This is a user I hand onboard to Farcaster. They stopped using the app because they were labeled as spam incorrectly and couldn’t get unlabeled.  Nothing they’ve casted is remotely spammy. 


@bit-inko is a well respected Japanese caster but these days they cast mostly in Japanese and less in English. They are not spammy. 

I recently created an AI agent using @jam new toolset. 

It’s called @kyotoguide and it’s a good bot that I’ve triggered on purpose and it’s got a spam label in less than a few days of casting. 

Hope these edge cases help.

Pi-chi.eth (she/her) Artist /animeoutcasts
Purple Promoter| Hosting: /moxietools /kyoto /momiji  /anime-manga /farcasterunion

https://portrait.so/pichi

Thank you for your continued understanding and support of the Japanese farcaster community pichi! 🦜✨✨