How did you integrate our partners, if any?

we integrated eigenlayer and eigenDA to make frontrunthis truly mev-resistant. our custom AVS is built on eigenlayer and handles the private matching of trade orders off-chain. when users submit orders, they don’t go to the public mempool. instead, they’re encrypted and sent directly to the AVS. the AVS matches buy and sell orders privately and posts the encrypted batch to eigenda, a decentralized data availability layer. this ensures the trade data is safely stored but hidden from mev bots until it’s time to settle. after a short delay, the AVS reveals the batch and submits it to a uniswap v4 hook, where the trades are executed on-chain. this prevents frontrunning and sandwich attacks because no one sees the trades until they’ve already been matched and finalized. eigenlayer gives our AVS a decentralized trust model using staked validators, and eigenDA guarantees that data is available and untampered

What are the key links to share? (Ex. demo video, GitHub, deck)

Github:https://github.com/rahulbarmann/FrontrunThis Slides: https://www.canva.com/design/DAGrgM3ojxo/6LpzQLaGpy75JUHE_Lt2Fg/edit?utm_content=DAGrgM3ojxo&utm_campaign=designshare&utm_medium=link2&utm_source=sharebutton Project Link: Demo Video:https://www.loom.com/share/2fd66009d7d64ea8b64790435d15aa3a?sid=e09ee431-7cb4-442f-8320-dfb122c9930d

Problem / Background: What inspired the idea? What problems are you solving?

We got frontrun. A couple of times.

Trades are visible before they execute giving MEV bots a chance to frontrun or sandwich them for profit. That’s unfair and frustrating. Our solution matches trades privately using a custom EigenLayer AVS, encrypts them, and only reveals them after consensus via EigenDA. Settlement happens through Uniswap v4 Hooks, keeping it trustless and composable.

Impact: What makes this project unique? What impact will this make?

We stop bots from seeing and exploiting your trade before it happens. In normal DeFi trading, bots watch the mempool and jump in front of your transaction or sandwich it to make money leaving you with worse prices. We prevent that by keeping your trade private until it’s too late for bots to act. Orders are matched off-chain, encrypted, and only revealed at the moment of execution. This removes any chance for frontrunning or sandwiching

Challenges: What was challenging about building this project?

Our biggest challenge was avoiding the AMM price updates, which MEV bots use to frontrun trades. To fix this, we had to design a way to match and agree on trade prices off-chain before sending anything to Uniswap. This meant stepping away from normal AMM flow and figuring out how to settle trades at pre-agreed prices, while still using Uniswap v4 for final execution.

Team: Who is on the team? What are their backgrounds?

Vansh Sahay(Twitter) and Rahul Barman(Twitter) are experienced full-stack and blockchain developers with a strong track record of building decentralized, privacy-preserving, and production-grade systems across DeFi, AI, automation, and data infrastructure.