StarAI
StarAI Whitepaper V3
StarAI Whitepaper V3
  • ๐Ÿ‘‹StarAI: A Web3-driven AI Asset Creation Platform Empowering the Creator Economy
  • ๐Ÿ“œTerms of Use
  • ๐Ÿ†Milestone
  • ๐ŸŒŸStarAI
    • ๐Ÿ“–StarAI Whitepaper
      • Current Pain Points
      • Core Architecture
      • Core Functional Modules
      • Economic Loop
      • Existing and Upcoming Features
      • StarAI Technical Overview and Pros
    • ๐ŸŽฎUser Guide
    • ๐Ÿช™Tokenomics
    • ๐Ÿ—บ๏ธRoadmap
    • ๐Ÿ’ปTechnical Whitepaper
    • ๐Ÿ“–ไธญๆ–‡็™ฝ็šฎไนฆ
  • ๐Ÿ‘จโ€๐Ÿ‘ฉโ€๐Ÿ‘งโ€๐Ÿ‘ฆCommunity
    • ๐Ÿค–TON MiniApp
    • ๐ŸปLine Mini Dapp
    • ๐Ÿ‘พBNBChain APP
    • ๐Ÿ”—X
    • ๐ŸŒWebsite
    • ๐Ÿ—ฃ๏ธChat
    • ๐Ÿ“ขAnnouncement
    • ๐Ÿ“ฐBlog
    • ๐Ÿ–ผ๏ธNFT
    • ๐Ÿ–ผ๏ธBNB NFT
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Milestone

  1. Achieved 2.5 million registered users and 1,000,000 monthly active users in just two months.

  2. The platform's revenue as reached hundred thousand dollars.

  3. Partnered with Mroph to deploy AI models on EVM, attracting 400K new users and EVM addresses.

  4. Launched the StarAI Telegram Mini App, allowing users to interact with AI agents.

  5. Released the NeonPunk and Black Myth Wukong NFT series, listing them on Getgems.

  6. Represented StarAI at Token 2049 in Singapore, enhancing global visibility.

  7. Established partnerships with over 80 projects, expanding the StarAI ecosystem.

  8. Launched the Card PVP feature, enhancing user interaction within the platform.

  9. Released the user-built Digital Human feature, allowing users to create and interact with custom avatars.

  10. Deployed three AI agents, serving 2.5 million users.

  11. Integrated with over five projects via StarAI's API & SDK, broadening technology application.

  12. Successfully integrated AI agents into games, adding value through NFTs and tokenization.

  13. Launched the AI Agent Layer for seamless multi-chain deployment across various blockchain networks.

  14. Optimized and supported multi-modal large model management, including text, images, audio, and video.

  15. Implemented distributed computing strategies, reducing AI training and operational costs.

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