Welcome to the Proof of Usefulness Hackathon spotlight, curated by HackerNoon’s editors to showcase noteworthy tech solutions to real-world problems. Whether you’re a solopreneur, part of an early-stage startup, or a developer building something that truly matters, the Proof of Usefulness Hackathon is your chance to test your product’s utility, get featured on HackerNoon, and compete for $150k+ in prizes. Submit your project to get started! Welcome to the Proof of Usefulness Hackathon spotlight, curated by HackerNoon’s editors to showcase noteworthy tech solutions to real-world problems. Whether you’re a solopreneur, part of an early-stage startup, or a developer building something that truly matters, the Proof of Usefulness Hackathon is your chance to test your product’s utility, get featured on HackerNoon, and compete for $150k+ in prizes. Submit your project to get started! Proof of Usefulness Hackathon spotlight Proof of Usefulness Hackathon spotlight Proof of Usefulness Hackathon Proof of Usefulness Hackathon $150k+ Submit your project to get started Submit your project to get started In this interview, we speak with Arzykul Muratov, the creator of MetaCoreX, an innovative decentralized operating system designed as a foundational layer for a sovereign digital metaverse. By intertwining AI agents, human users, and smart contracts, MetaCoreX aims to establish a merit-based ecosystem free from hype-driven tokenomics. MetaCoreX What does MetaCoreX do? And why is now the time for it to exist? MetaCoreX is a decentralized operating system and foundational layer for a sovereign digital metaverse/civilization, where AI agents, people, and smart contracts interact as equal citizens. Its core innovation is ARZY-G token minted exclusively from AI-verified real usefulness (via Chainlink oracles confirming value creation), solving hype-driven tokenomics in Web3/AI. Built modularly on Solidity (AI Core, DAO, Visual, EventBus), it's designed for 1B+ digital nomads/remote workers living online. Now’s a good time for MetaCoreX to exist because the intersection of decentralized infrastructure and artificial intelligence urgently requires fair, usefulness-driven tokenomics rather than speculation-based models. Who does your MetaCoreX serve? What’s exciting about your users and customers? Primarily for Web3 developers, AI researchers, blockchain builders, and early adopters in decentralized AI/agent ecosystems. Benefits: Provides a modular, open-source OS foundation for building sovereign digital metaverses/civilizations with fair tokenomics (value from real usefulness, not hype). Most important potential users: solo devs and small teams working on Ethereum-compatible smart contracts, DAOs, and AI-oracle integrations — they gain composable infrastructure without centralized dependencies. What technologies were used in the making of MetaCoreX? And why did you choose the ones most essential to your tech stack? MetaCoreX is natively built for Ethereum-compatible EVM environments using Solidity for smart contracts, along with OpenZeppelin for secure contract foundations. We rely heavily on Chainlink oracles to serve as the critical bridge for AI verification and usefulness proofs, effectively powering our unique tokenomics. Additionally, our development workflow utilizes Hardhat, Foundry, Node.js, and ethers.js, with strategic plans to integrate IPFS and Filecoin for the decentralized storage of documentation and visuals. What is the traction to date for MetaCoreX? Around the web, who’s been noticing? While still in the pre-launch prototype phase, MetaCoreX has established consistent visibility within niche Web3 and AI developer communities. The project's public GitHub repository, complete with an open-source MIT license and whitepaper, has generated early buzz, leading to mentions on LibHunt and active Twitter discussions around the #ARZYG tag. Organic traction has also been seeded through initial Show HN posts highlighting our usefulness-minted token model, setting the stage for our upcoming testnet demo in Q1 2026. MetaCoreX scored a 93 proof of usefulness score (https://proofofusefulness.com/reports/metacorex) MetaCoreX scored a 93 proof of usefulness score (https://proofofusefulness.com/reports/metacorex) https://proofofusefulness.com/reports/metacorex What excites you about this MetaCoreX's potential usefulness? What excites me most is the potential to create a fair, usefulness-driven economy in decentralized AI and Web3. Traditional tokenomics rely on hype, mining or speculation, leading to spam and value extraction. ARZY-G changes this: tokens are minted only when Chainlink AI oracles verify real usefulness (completed tasks, value created), making the system merit-based and anti-inflationary. This could become foundational infrastructure for digital civilizations/metaverses, where AI agents and humans interact as equals, and value comes from contribution — not speculation. For 1B+ digital nomads and remote workers, it offers sovereign digital identity and economy without Big Tech control. The modular UNIX-like architecture on Solidity allows endless composability, solving centralization of operating systems in a decentralized world. Meet our sponsors Meet our sponsors Meet our sponsors Bright Data: Bright Data is the leading web data infrastructure company, empowering over 20,000 organizations with ethical, scalable access to real-time public web information. From startups to industry leaders, we deliver the datasets that fuel AI innovation and real-world impact. Ready to unlock the web? Learn more at brightdata.com. Bright Data: Bright Data is the leading web data infrastructure company, empowering over 20,000 organizations with ethical, scalable access to real-time public web information. From startups to industry leaders, we deliver the datasets that fuel AI innovation and real-world impact. Ready to unlock the web? Learn more at brightdata.com. Bright Data: brightdata.com Neo4j: GraphRAG combines retrieval-augmented generation with graph-native context, allowing LLMs to reason over structured relationships instead of just documents. With Neo4j, you can build GraphRAG pipelines that connect your data and surface clearer insights. Learn more. Neo4j: GraphRAG combines retrieval-augmented generation with graph-native context, allowing LLMs to reason over structured relationships instead of just documents. With Neo4j, you can build GraphRAG pipelines that connect your data and surface clearer insights. Learn more. 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