Beyond powerful technology, sustainable blockchain networks require carefully-designed economic systems to drive utility and create lasting value. The mechanics of how a network rewards participation and manages resources directly shapes its adoption and longevity.
The Midnight tokenomics whitepaper explores the network's novel token-resource model in detail, unpacks how NIGHT and DUST work together, explains the network's incentive framework, and outlines the initial token distribution strategy designed to foster a vibrant, decentralized ecosystem.
We deserve more when it comes to privacy. Midnight pioneers a radically different path, leveraging zero-knowledge cryptography to forge a future where utility doesn't compromise rights, and access is fairly distributed across ecosystems.
"Privacy in Motion" explores our complex relationship with personal data examining how we trade privacy for convenience, get monetized by data collectors, navigate government surveillance, and face growing threats to our digital identities. Created in collaboration with Coindesk.
The transparency of traditional blockchains forces a difficult choice: utility or privacy. Midnight empowers innovators to break free from this limitation.
When most online interactions leak metadata, adoption stalls — especially in industries where privacy is critical. Midnight removes this barrier with a new cooperative tokenomics design, making it possible to build secure, compliance-friendly applications without sacrificing decentralization.
Midnight is introducing vital, programmable privacy and selective disclosure capabilities powered by zero-knowledge proofs. It means you can build dApps that allow users to control what information is revealed without putting sensitive data on-chain.
The promise of decentralized applications shouldn't be locked behind layers of complex programming languages and intricate integrations. Midnight is built using Compact, a Typescript-based programming language, to help break through this complexity. Build quickly, integrate easily, and leverage existing skills to bring innovative dApps to life with a minimal learning curve.
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