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DODOchain: Building Cross-Chain Liquidity Infrastructure Through Shared Consensus Security
DODO has just unveiled DODOchain, marking a significant expansion into the Layer 3 ecosystem. This new solution positions itself as an “Omni Trade Layer3” built on a sophisticated technical stack that combines Arbitrum Orbit’s infrastructure with EigenLayer’s re-staking mechanisms and AltLayer’s sequencing capabilities.
The Technical Architecture Behind DODOchain
The backbone of DODOchain leverages EigenDA for its consensus and security guarantees, essentially borrowing Ethereum’s robust security model rather than bootstrapping its own validator set. This approach allows DODOchain to operate efficiently while maintaining fortress-level security standards inherited from the Ethereum network.
What makes this architecture particularly interesting is its dual identity: DODOchain functions simultaneously as a re-staking rollup, meaning operators can earn additional yield through EigenLayer’s protocol while securing the network. The system is positioned to become one of the pioneering Active Verification Services (AVS) within the Eigenlayer ecosystem, signaling DODO’s commitment to being part of Ethereum’s expanding security infrastructure.
Solving Liquidity Fragmentation
At its core, DODOchain addresses a fundamental challenge in crypto trading: liquidity fragmentation across multiple blockchains. By aggregating trading liquidity from different chains into a unified layer, the platform reduces slippage and improves execution efficiency for traders. This cross-chain liquidity integration becomes increasingly critical as the multi-chain landscape matures and users demand seamless trading experiences across ecosystems.
Current Status and What’s Next
The DODOchain testnet is currently live for early testers and developers. This represents the initial phase before mainnet deployment, allowing the team to validate the DODO consensus mechanism under real conditions and refine the infrastructure based on community feedback and on-chain data.