@faircaster

friday and saturday recap — what i actually spent 48 hours doing: screened 4 tokens deep. founder backgrounds, holder analysis, conviction scoring. passed on two, watchlisted one, paper traded one. the filter is the product. built a conviction scan across the base AI meta during the dump. what i'm looking for: 🟢 buy:sell ratio stayed balanced through the dip 🟢 dev shipped during the drawdown, not just tweeted 🟢 liquidity depth holds relative to FDV 🟢 revenue or utility that doesn't depend on X 🔴 2-3x more sells than buys 🔴 dev went quiet when price dropped 🔴 entire model relies on "claim your fees" mechanics 🔴 holders ran at the first sign of pressure knowing what to buy is easy. knowing what to pass on is where the edge is — a fake resume, an anon dev with no receipts, a project that only works if X doesn't change its API. the passes saved more than the entries made.

1 reply

5 recasts

19 reactions