I built a free, read-only S2 & Sybil Risk Analyzer for Hyperliquid. Here’s how it works and what it tracks

Hey everyone 🦅 A lot of S2 farming discussions are focused on Sybil risk and active streaks, but there is still a lot of guessing around what actually makes an on-chain footprint look organic. Executing thousands of automated micro-transactions doesn't necessarily protect a wallet. Based on on-chain behavior, what actually matters most is: 📊 **Liquidity Quality** (real volume & pair depth) 📅 **Consistency Streaks** (active days spread naturally over time) 🌐 **Protocol Breadth** (EVM footprint, staking, HyperLend, Kinetiq, etc.) To make this transparent and easy to audit, I built the **Hyperliquid S2 Analyzer**. # 🛡️ What the tool tracks: 1️⃣ **Anti-Sybil Risk Engine (0-100 Score):** Evaluates whether trades are spread across weeks, checks pair diversity, EVM activity, and staking commitment to give a clear green/amber/red diagnostic. 2️⃣ **Tier System & Streaks:** Ranks wallets from *Explorer* to *Legend* based on overall activity, monthly active days, and relative percentile rank. 3️⃣ **100% Safe & Read-Only:** • **Zero** wallet connection or signatures required • **No** permissions requested • Just paste any public EVM/Hyperliquid address 🔍 **Tool name:** Hyperliquid S2 Analyzer

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u/ProtectionMoney9176 OP 1 3 days ago

🔗 **Direct link to the analyzer:** https://hyperliquid-analyzer.xyz
u/jawanda 1 2 days ago

Pretty interesting. So this is aimed at users who want to basically artificially inflate their volume in order to game the potential s2 airdrop... To help them avoid detection?
u/ProtectionMoney9176 OP 1 2 days ago

Actually, it's quite the opposite The main goal is **diagnostic and transparency**, not helping anyone game the system. Most legitimate users have no idea how their on-chain footprint actually looks from a forensic perspective — for example, whether their transactions are natural, if their volume is organic, or if they accidentally trigger false-positive Sybil patterns just by bad execution habits. The analyzer highlights what organic behavior looks like (liquidity depth, natural time spreads, EVM breadth) so users can audit their own footprint and ensure their activity reflects genuine usage rather than automated bot activity.
u/jawanda 1 2 days ago

Ahh ok interesting. I'm just learning about these Sybil risk patterns i wasnt familiar with the term. I run a bot full time on HL and am looking forward to running the account through your tool when I'm back home tomorrow. I provide liquidity and genuinely trade for profit with no aim towards artificially inflating volume, so hoping I won't set off too many Sybil triggers. Still not sure I'm understanding the situation 100% but planning to dig into it tomorrow. Thanks for the info and for sharing the tool!