ETHGlobal Hackathon Recap 🎉 @ETHGlobal BKK was intense: 2000+ builders, 800+ projects deployed. We’re thrilled to announce that @Reputable_Tech won prizes from both @blockscoutcom and @UniswapFND! 🏆 Check out our project: 🔗 ethglobal.com/showcase/reput… Our demo showcased a custom reputation model that scores top DeFi developers, extracting value from Ethereum Mainnet to Unichain Sepolia by analyzing their contributions both on-chain and off-chain. Here’s why this matters 👇 With the launch of Unichain, @UniswapFND seeks to attract and reward high-impact DeFi developers. But how do you target top contributors in a brand-new ecosystem with no transaction history or metrics? That’s where Reputable steps in. Reputable enables protocols to create customizable reputation models that leverage Web3 & Web2 data, ensuring resources flow to the most impactful contributors while building trust-driven ecosystems. For this demo, we scored developers contributing to the top 100 DeFi protocols. @UniswapFND’s goals for Unichain: - Airdrops & Incentives – Reward top developers to foster loyalty & contributions. - Grants & Funding – Allocate resources to high-impact developers. - Governance – Empower high-reputation devs for a meritocratic ecosystem. Key Features: - Customizable Models – Tailored to unique needs & metrics. - Sybil-Resistant Attestations – Hybrid on-chain & off-chain scoring. - Monetizable Models – Tradable reputation assets. - Decentralized Validation – Consensus-driven data integrity. - Trustless Computation – Transparent, on-chain scoring. While the model we deployed at the Hackathon was relatively basic, we’ve got a far more advanced version running in our centralized beta: 🔗 app.reputable.network More to come. Stay tuned.

@Reputable_Tech Token Economy and Incentive Model Reputable aligns incentives across protocols, model creators, nodes, and users, creating a sustainable economy for custom on-chain reputation models. Here’s how it works 👇 1/ Protocol Fees for Model Deployment Protocols creating custom reputation models pay a deployment fee. This fee funds the setup and supports Reputable’s infrastructure, helping us maintain a robust, scalable network. 2/ Model Labeling Fees for Verification For additional credibility, protocols can add a Model Labeling feature (like an audit), verifying and labeling high-quality models with a "Verified Checkmark." This extra fee ensures trusted, reliable data. 3/ Revenue Sharing for Model Usage Every reputation score generated triggers a computation fee, distributed as revenue across the ecosystem between: - Model Creators: Earning from score computation fees, encouraging impactful model creation. - Decentralized Nodes: Supporting computation and verification, with incentives to maintain network resilience. 4/ Tradable ERC-721 Models: A Marketplace for Reputation Each model on Reputable is tokenized as an ERC-721 NFT, making them tradable assets. Protocols can sell, license, or rent models.

Key Use Cases for @Reputable_Tech DeFi Users Categorization Enable DeFi platforms to reward high-reputation users with benefits such as better lending rates, reduced fees, or exclusive services, fostering loyalty and deeper engagement. Grant Access and Funding Allocation Screen grant applicants based on past contributions and involvement in the community, ensuring funds are allocated to developers with meaningful, impactful records. DAO Governance Assign voting power based on engagement and genuine contributions rather than simple token ownership, supporting a governance structure rooted in participation and merit. GameFi Reward fair play and social contributions, allowing high-reputation players to access rare assets or exclusive features, thus encouraging positive community interactions within gaming ecosystems. Decentralized Advertising Tailor ads to user interests and behaviours, offering high-reputation users relevant ads, improving both ad effectiveness and user experience.

We think it's all about Reputation. Influence is a market. It’s not just about quantity, but quality measured over time. The tricky part is creating real, trust-based connections. With @Reputable_Tech, protocols can go deeper by building custom on-chain reputation models for creators. Rather than quick, one-off sponsorships, creators build reputation scores based on meaningful metrics like engagement quality, loyalty, and long-term impact—drawing data from both on-chain interactions and off-chain behavior. This approach incentivizes long-term partnerships where creators and audiences align naturally, leading to genuine loyalty and higher engagement.

Off to Bangkok soon for Devcon! 🇹🇭 Let me know if you’ll be around – would love to connect! We’ll be cooking something exciting with @Reputable_Tech for @ETHGlobal Hackathon, integrating @unichain, @blockscoutcom, @eas_eth, and @web3auth.

I've interviewed +80 Web3 Protocols interested in DID and Web3 Reputation; here are some takeaways 🧵 Strong Demand for Customization: Protocols expressed a strong desire for customizable reputation models tailored to their specific needs. Developer Identification: Difficulty in identifying and reaching developers who have successfully built valuable projects. Web3 User Insights: There's a critical gap in understanding end-user interactions with DeFi protocols. Value of Trust: Building trust with their communities is recognized as a key component.

Here is what the Developers Leaderboard first version of the demo of @Reputable_Tech looks like. We're monitoring 83K commits and 723 devs working at the top 100 DeFi protocols. (Hey @gbalabasquer, congrats you're top 1!) 🏆 a small thread on what's behind 🧵