Episode Summary
Executive Summary: This sponsored interview presents Oneinch co-founder Sergei Koonz explaining Aqua, a shared-liquidity, intent-based DeFi liquidity protocol launched across 13 Ethereum-compatible networks. Aqua aims to fix concentrated-liquidity inefficiencies, fragmentation, JIT/sandwich risks, and idle capital by letting users keep assets in their wallets while defining price-range and fee strategies that professional market makers can settle under KYB/compliance checks.
Main Topics: Aqua’s core design and purpose (Priority: 5/5): Aqua is positioned as an alternative to pool-based AMMs: users define liquidity strategies rather than deposit into isolated pools, while keeping custody of assets in their own wallet. Problems with traditional DeFi liquidity pools (Priority: 5/5): Sergei argues that concentrated liquidity exposes LPs to sandwich attacks, just-in-time liquidity extraction, and underutilized capital due to fragmented, pool-specific deposits. Shared liquidity and intent-based execution (Priority: 5/5): The product uses intent-like rules for buy/sell ranges and fees, allowing the same assets to support multiple positions and strategies simultaneously without creating debt. Institutional readiness, compliance, and self-custody (Priority: 4/5): Aqua is framed as institution-friendly because funds remain isolated, settlement can be limited to compliant market makers, and KYB/compliance checks help address counterparty concerns. Cross-chain and ecosystem adoption (Priority: 4/5): Aqua debuted on 13 Ethereum-compatible networks and is presented as part of a broader Oneinch strategy spanning aggregation, cross-chain infrastructure, and partner integrations. Incentives, tooling, and developer ecosystem (Priority: 3/5): Oneinch Foundation and DAO incentives, leaderboards, 3D visualizations, tutorials, and developer docs are intended to bootstrap liquidity and make the system easier to use and build on.
Key Arguments: Traditional liquidity pools are inefficient because liquidity is isolated, fragmented across pools, and often idle. A shared-liquidity model lets the same wallet assets back multiple strategies at once, improving capital efficiency. Keeping assets in the user’s wallet preserves self-custody and governance participation. Professional market makers can safely settle positions if they pass KYB and compliance checks, making the system more institution-ready. Aqua is not a trade executor; it is an intent-based liquidity provisioning layer where users define ranges, fees, and rules. The model can increase earnings by allowing the same capital to generate fees across multiple positions and strategies. The protocol is designed to mitigate common DeFi risks such as sandwich attacks and JIT liquidity extraction. Education and security are emphasized through learn pages, tutorials, and multiple audits. Incentives and transparent analytics are meant to attract initial liquidity and help users copy or understand strategies. The product is intended to work across major EVM ecosystems and may support broader web3 and institutional adoption.
Data Points: Networks supported at launch: 13 - Aqua debuted across 13 Ethereum-compatible networks. Underutilized concentrated liquidity: 85% - Sergei cited Dune research indicating 85% of liquidity sits idle. Liquidity inactivity timeframe: 95% of the time in a year - He claimed liquidity often does not move despite participating in price formation. Security audits: 8 - Sergei said Aqua underwent eight security audits before launch. DAO incentive distribution: 500,000 USDC - Oneinch DAO plans to distribute this amount over the next three months to users generating volume on Aqua. DAO incentive duration: 3 months - The USDC reward program was described as running over the next three months. Potential leverage via looping example: 3x to 4x - He described looping assets through lending to create roughly 3–4x exposure before using Aqua positions. Example loss from sandwich attack: 10 ETH - Sergei said he personally lost around 10 ETH after forgetting to reset a liquidity parameter. Example liquidity size: 10,000 USDC - He used 10,000 USDC as an example of fragmented capital in a traditional pool setup. Oneinch ecosystem reference: 4x fee potential - He suggested that turning 10K into 30–40K of effective exposure could yield 3–4 times more fees.
Pivotal Quotes: "I solved my own problem." — Sergei Koonz: He explained Aqua began from his personal frustration with concentrated-liquidity pitfalls and capital inefficiency. "Aqua is just an intent-based protocol for liquidity provisioning." — Sergei Koonz: He clarified that Aqua does not execute trades like a classic AMM; it lets users define strategy parameters. "Institutionals who want to provide liquidity in a specific environment... they don't want to mix own funds with other people's funds." — Sergei Koonz: He described the institution-focused pitch: isolated capital, compliant settlement, and clearer counterparty control.
Implications: Aqua signals a push toward more capital-efficient, self-custodial DeFi liquidity with institutional controls. If adopted, it could reduce idle capital, improve LP returns, and blur the line between retail DeFi and professional market-making infrastructure.