Flex Docs (Work-In-Progress | Last Updated: 12/07)
  • Current Landscape
  • Welcome to Flex
  • Overview
    • Infrastructure for the New Web
    • The Values of the Flex Ecosystem
  • Protocol
    • Flex Validator Nodes
      • Data and Validation Layer
      • Rewards Layer
      • Audit Layer
      • Sentinel Layer
      • Prediction Layer
      • Getting Started
        • Propagation into the Validation Layer
        • Transaction Pool Generation
        • Transaction Weight Assignment
        • Epoch Score Calculation
        • Reward Distribution
        • Reward Claiming
        • Epoch Reward Pool Mechanics
    • Proof-of-Collaboration (PoCol)
      • PoCol Governance using FLEXE
      • Actors in the Flex Ecosystem
    • Flex Commons
      • Code Tokenization
      • Code Registry and Indexing
      • Code Versioning and Forking
      • Code Licensing and Royalties
      • Code Marketplaces and Auctions
      • Code Search and Discovery
      • Flex Commons Governance using FLEXE
    • Ecosystem Tokens' Multi-Staking
    • Technical Roadmap for the Flex Ecosystem
      • Flex Virtual Machine (FVM)
      • Flex SDCK
      • re:Flex Smart Contract Language
    • Flex Improvement Proposal (FIP)
    • Flex Portal: Your Gateway to Web3
  • Contribute to the Ecosystem
    • Strategists: Roles and Contributions
    • Developers and Projects
  • Governance and Utility
    • Introducing the FLEXE Token (coming soon)
    • Flexonomics (coming soon)
    • How to get FLEXE tokens (coming soon)
      • Use the faucet (coming soon)
      • Run a node (coming soon)
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Code Search and Discovery

Flex is a community-owned platform that rapidly boosts dApp user growth, ensuring the value generated directly benefits the Flex community.

The Flex IP Commons provides advanced search and discovery tools for finding and comparing code assets based on various criteria, such as functionality, language, dependencies, and usage metrics. Developers can use natural language queries, code snippets, or API signatures to search for relevant code NFTs across the registry.

The search engine employs machine learning and semantic analysis techniques to understand the intent and context of the queries, and to rank the results based on relevance and quality. The search results can be further filtered and sorted based on metadata attributes, such as license type, version, or popularity.

The IP Commons also provides personalized code recommendations and analytics, based on the developer's profile, interests, and usage history. The recommendation engine uses collaborative filtering and content-based filtering algorithms to suggest relevant code assets and creators and to help developers discover new and trending code patterns and libraries.

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Last updated 10 months ago