Cardano founder launches privacy-focused chain Midnight with ZK and compliance emphasis

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Cardano founder Charles Hoskinson has launched Midnight, a privacy-focused blockchain designed to meet high standards of crypto compliance. Developed by Input Output Global, the project has reached the operational stage following the generation of its genesis block. Positioning itself as a fourth-generation blockchain, Midnight uses zero-knowledge proofs to enable selective data disclosure, ensuring a balance between on-chain transparency, privacy, and regulatory requirements. The network operates an independent ledger and smart contract platform with interoperability to Cardano. Its hybrid ledger design allows public and private data to be processed within a single transaction, while a new programming language called Compact aims to simplify the development of privacy-focused applications. A dual-token model helps manage costs and incentives.

ChainCatcher report: Cardano founder Charles Hoskinson has announced the launch of Midnight, a privacy-focused collaborative chain, which has generated its genesis block, marking the project’s official entry into operation. Developed by Input Output Global, Midnight is positioned as a "fourth-generation blockchain" designed to enable real-world assets on-chain through end-to-end privacy capabilities. The network employs zero-knowledge proof (ZK) technology to enable selective data disclosure, protecting user privacy while meeting compliance requirements. Architecturally, Midnight features an independent ledger, consensus mechanism, and smart contract environment, and connects to the Cardano ecosystem through interoperability design. Its hybrid ledger supports the simultaneous processing of public and private data within a single transaction, offering concealed balances and counterparty information. Additionally, Midnight introduces a programming language called Compact to lower the barrier for developers building privacy-focused applications, and adopts a dual-token model to optimize network usage costs and incentive mechanisms.

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