Working on Farcaster and Warpcast. Longer thoughts at https://dwr.email

I definitely feel like your methods aren't perfect.

A few other thoughts

1. We use a machine learning algorithm to classify spammy users.

2. That requires a manual input when new spam "metas" emerge.

3. Best way to model spam (and fraud or any other "gaming" of a system) is like an organism that evolves based on the environment (the social network) and the various inputs into the environment, i.e. antibiotics / spam filters

4. So what works effectively today will not be effective tomorrow (antibiotic resistance!). 

5. So you have to flag the new metas to the model using signals—user reports, manual classification—and then the model can relabel users.

There are lots of accounts marked not spam, but their bios had “airdrop hunter, what are we farming” etc in them. Clearly spam/farmers. 
Then my friends IRL were labeled spam because they haven’t casted much. 
Definitely agree with the purge. Went through one by one and checked who I was following. Helps to be more mindful. 
Thanks for everything, was painful but good. ;)