DappRadar DAO
  • 📡What is DappRadar DAO?
  • 📝 DappRadar DAO Report 2024
    • 🖥️ Management overview
      • Strengthening revenue streams and RADAR tokenomics
      • AI-Driven curation: the future of Web3 discovery
      • Looking ahead: the DAO’s vision for 2025
    • ⚖️ Legal updates
    • 💰 Financial reporting overview
      • Asset Balances as of 31/12/2024
      • Transactions since Token Generation Event (TGE)
      • Profit & Loss Statement
    • 🤝 Business development overview
      • 2025 Strategic priorities
    • 🏗️ Product updates
      • Feature releases and platform enhancements
      • User Experience Improvements
      • Looking ahead
    • 🔊 Marketing efforts
      • Collaboration with Lunar Strategy
      • Key efforts for 2025
      • Challenges & Strategic Adjustments for 2025
    • 🎉 Key milestones achieved in 2024
      • Strengthening Quests with multi-chain smart contract deployments
      • Experimenting with new revenue streams
      • Airdrops & Quests expansion as growth & marketing tools
      • Enhancing PRO features & staking incentives
      • Improved RADAR visibility & presentation
      • New homepage aligns DappRadar with DAO vision
      • Continued reliability as a node validator
      • Constant product & engineering improvements
    • 👋 Closing words
  • 📄DappRadar DAO Report 2021-2023
    • 👋Introduction
    • ⚖️Legal foundations for decentralization
      • Collaborative legal framework
      • Proposed governance structure
      • Engaging in DappRadar governance: A step-by-step guide
    • 🏦Financial reporting overview
      • Asset balances as of 31 December 2023
      • Transactions since Token Generation Event (TGE)
    • 🔵RADAR tokenomics overview
    • 🏅DAO activities and milestones
    • 👨‍👩‍👦‍👦Performance of community engagement channels
    • 🛣️Roadmap
    • 🫡Closing words
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  1. 📝 DappRadar DAO Report 2024
  2. 🖥️ Management overview

AI-Driven curation: the future of Web3 discovery

The rapid evolution of AI technology in 2024 reshaped how both the DAO and DappRadar UAB approach Web3 discovery and governance. Recognizing AI’s potential in streamlining operations, curating data, and enhancing decision-making, the DAO began implementing AI-driven solutions to improve governance efficiency and ecosystem engagement.

One of the key initiatives involves the development of AI Agents, designed to assist both projects and users in navigating the fast-paced Web3 landscape. These AI-powered tools aim to bridge on-chain and off-chain data, filtering high-quality insights while reducing noise in an increasingly saturated market.

AI Initiative

Function

AI Agents for Curation

Automate data verification and ranking of Web3 projects

AI-Powered Governance Tools

Enhance proposal filtering and decision-making efficiency

User-Centric AI Features

Improve project discovery and engagement through data insights

However, the DAO’s approach to AI is not purely automation-driven. A Human-in-the-Middle model will ensure that AI assists with curation, governance and decision-making, while human contributors refine and contextualize AI-generated insights. This hybrid approach will accelerate data aggregation, minimize misinformation risks and strengthens trust in curated Web3 intelligence.

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Last updated 1 month ago

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