About SybilShield
Open-methodology Sybil detection for token distributions.
Why we built this
Every airdrop in 2023-2025 was extracted by farmers running thousands of wallets. Projects either overspend on detection ($150K consulting) or underspend and lose 20-40% of their distribution. The tooling gap is real: Trusta is Ethereum-focused and black-box, Nansen is too expensive and not airdrop-specific, custom Dune analyses take weeks.
We're building the "credit-scoring layer for token distributions" — an evidence-based, auditable, open-methodology service that any project can plug into their TGE flow.
Team Beta
Solo founder + open-source contributors. Funded contributors named here as they join.
Background in on-chain analytics and ML. DM on Telegram or open a GitHub issue to chat.
Coming after first grant. Curating labelled corpus + adversarial red-team.
How we sustain
- Free for everyone — the full scoring API, dashboard, evidence reports, and public methodology are free. No prices, no plans, no checkout. Fair-use limits keep the shared sandbox healthy.
- Grants — funded by public-goods grants: Ethereum Foundation ESP, Arbitrum DAO, Octant, Optimism RetroPGF, Gitcoin. Sybil resistance is shared infrastructure, so we fund it like it.
- No token — we have no plans to launch a token. Anyone claiming "$SHIELD" is a scam.
Legal posture
An open, grant-funded public-good project — free to use, MIT-licensed, no monetization. Anyone using SybilShield scores in a public filter list is expected to provide an appeal flow so scored parties can dispute a result.