About the author

Stefan Tsezarov

Data analyst and Web3 research specialist. He builds and maintains SaveSaveSaveSave.

Stefan has more than seven years of experience evaluating blockchain startups — hundreds of them — building quantitative scoring models and producing executive reports that support investment and listing decisions.

His work spans data pipelines, tokenomics analysis, compliance signals, on-chain metrics and AI-assisted due-diligence frameworks: turning complex datasets into clear findings for institutional investors, venture capital firms and crypto exchange listing teams.

SaveSaveSaveSave puts a small part of that kind of checking in front of anyone, for free: a suspicious message, a token or wallet address, or an npm package, checked before you act on it.

How the scanner reaches its verdicts, and what it cannot see, is written up in Before You Act and the technical appendix. The code is public on GitHub.