Highlights
- We soft-launched in October with our own idea of what prop traders want.
- We ran several hundred million simulated trader-rounds to design the open house, where approved partners will launch their own missions and set the rules.
- We’re operators turned founders behind nearly $1B in assets, with 10+ years in tradfi infra, onchain data, product and GTM, and academic backgrounds in engineering, cybersecurity law, mathematics and cryptography.
Overview
Pitch
Traction
- Traders
- We soft-launched in October with our own idea of what prop traders want. Since then, 200+ of them have helped us refine it and thousands have joined the waitlist ahead of the token and first paid desks.
- Research
- We ran several hundred million simulated trader-rounds to design the open house, where approved partners will launch their own missions and set the rules.
- Team
- We’re operators turned founders behind nearly $1B in assets, with 10+ years in tradfi infra, onchain data, product and GTM, and academic backgrounds in engineering, cybersecurity law, mathematics and cryptography.
Team
Risks
Reward hacking
Agents find gaps in rule sets faster than anyone can patch them. We stress-test every rule set against adaptive agents before it goes live, and our RL engine keeps repricing it from real trading.
Under-collateralized hosts
A host’s payout liabilities could outgrow its collateral. Our risk engine prices each challenge so fees cover expected payouts, and as a backstop, exposure is capped at a multiple of staked collateral.
Venue dependence
Prices come from Hyperliquid and Phoenix order books. We use multiple venues per asset and price off the best bid and offer.