Some of the data points currently used in the mini-app to prevent notifs about fake tokens: - token launcher data - token metrics (filtering out low mcap, unknown liquidity, suspicious volume) - data from popular security scanners, that are detecting things like fraud contracts and honeypots - reputation of early traders (are they still holding / were they able to sell / trade sizes) - manual reports from open platforms - and, finally, my manual flags Extra things that could be added (but come with a lot of nuances): - Creator address & reputation – tricky, since most of new tokens are now launched in non-public ways, via fresh wallets or from new accounts - Social context monitoring (at least on Farcaster) – a common problem is traders ape in first, and only do research after. So reports/social context usually appear once the token is already trending and alerts are out. So I'm still figuring out the balance: send alerts too late (after proper research) vs. send them early but risk pushing unverified tokens. With $rips, I even checked the token and the mini-app myself, but had no idea it was fake until others started posting about it