Launched this week

HyperIntel

Launched this week

Real-time whale tracking & analytics for Hyperliquid traders

7 followers

Real-time whale tracking & analytics for Hyperliquid traders

7 followers

Other trackers rank wallets by realized PnL — a metric martingale gamblers game while hiding floating losses. HyperIntel screens Many Hyperliquid wallets by mark-to-market risk, then has an AI analyst write a verdict on each wallet: trading style, hidden risks, copyable or just lucky. Plus: a flagged "profitable martingale" trap group, per-position liquidation progress bars, filled-vs-cancelled whale order detection, copy simulation with your capital, and stock-perp coverage others miss.

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Launch tags:Crypto•Artificial Intelligence•Web3

Launch Team

Framer AI AgentsDesign and publish professional sites with AI

Promoted

Maker

📌

Hi Product Hunt! 👋 Maker here. Every crypto leaderboard has the same lie built in: realized PnL. A trader can average down into a massive floating loss for months, bank tiny "wins" the whole way, and rank top 10 — right until one liquidation erases everything. People copy these wallets and get destroyed. I got burned by exactly this, so I built the tool I wished existed. HyperIntel treats whale wallets like an underwriter, not a scoreboard: 🤖 AI analyst on every wallet — it reads 90+ days of fills, drawdowns and red flags, then writes a plain-language verdict: trading style, real edge vs. luck, hidden risks, and whether the performance would survive being copied. Bloodwork is data; this is the doctor explaining it. 🧭 Group consensus, not single-wallet worship — even the best trader makes bad calls. So we screen a cohort of consistently profitable whales and analyze what they're doing as a group: which coins they're collectively long or short, with what conviction, right now. One whale is an opinion; forty profitable whales leaning the same way is a signal. (Sub-accounts of the same operator are cluster-folded into one vote, so nobody can fake a consensus.) 🔍 Mark-to-market scoring — Sharpe & drawdown on unrealized equity, so floating losses can't masquerade as skill. The AI's verdict is grounded in these numbers, not vibes. 🐋 A "profitable martingale" group we tag so you DON'T copy it — 81 wallets, avg $550K equity, gorgeous win rates, all averaging-down time bombs. We surface traps as a feature. 📊 Liquidation progress bars — how far each whale position is from blowing up (0–100%), live. 🧪 Copy simulation — replay any whale's last 90 days with your capital and slippage before risking a dollar. 🇺🇸 Stock perps included — whales rotating between BTC and TSLA/GOLD perps on Hyperliquid, fully tracked (most trackers can't see these markets at all). Everything is public on-chain data — any claim on a wallet page can be verified against the chain yourself. Free to browse the leaderboard and full wallet report cards. Pro adds real-time alerts (Telegram/email) when your tracked whales move. Brutally honest feedback welcome — especially from anyone who's been rekt copying a "top trader." What would a wallet have to show you before you'd trust it with a copy trade? 👇 Data & research tool only — not financial advice, no custody, no trade execution.

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11d ago

The mark-to-market screening is genuinely a better signal than the realized PnL stuff most tools push, and the martingale trap flag would have saved me last quarter. One thing I'd love: a simple "confidence score" on the AI verdicts based on sample size, so I know whether I'm looking at 50 trades or 5,000 before I decide to copy.

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1d ago

Maker

@jaredletoe Really appreciate this — especially the martingale flag saving real money, that's exactly why we built it.

On the confidence score + sample size: you're right, "30% confidence" means very different things on 50 trades vs 5,000. We'll add the trade count right next to the confidence badge so you can judge for yourself. Simple fix, shipping soon.

Thanks for the signal 🤝

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16h ago