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LYNQYO - Whitepaper
  • 💡Project explained
    • 🔍Lynqyo Overview
      • Content economy: challange and potential
      • Creator: web3 protocols, applications and tools for a decentralized content-led economy
  • 👨‍💻User system
    • Web3 gateway: lynq.yo/ ‘links’
    • Creator⇋fan: ecosystem pipe
    • Creator: system⇔journey
    • Fan: system⇔journey
  • 🛡️Lynqyo Content Economy Protocol
    • Structure
    • Creating value: tokenized intangible content
    • DAO: governance of tokenized intangible content
      • Quadratic voting
  • 🪙The token
    • Lynqyo token: $LNQ
    • Functionality
    • Intrinsic challenges
    • Technical approach
    • Automated Royalty Distribution
    • Protection
  • 🚧Product architecture
    • Approach
    • Web3 portal for tokenized content: CUBE
    • Subscription payments and lending: creator DeFi
    • Thrust subscriptions: dAPP
  • 📊Tokeomics: Ecosystem, Applications and Associations
    • Balanced approach
    • Transactions
    • User Engagement Rewards: Creator+Fan
    • User engagement rewards: the how
    • Flow controls: auto-management
    • Flow controls: principle equation
    • Token allocations
  • 🛣️Roadmap
    • Stage 1: 2022
    • Stage 2: 2023
    • Stage 3: 2024
  • 📲Connect with us
    • Social media links
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  1. User system

Web3 gateway: lynq.yo/ ‘links’

A lynq.yo/ URL ‘link’ is the first ‘tap’ in the user funnel for fans when consuming web3 content in the Lynqyo ecosystem. By deploying a lynq.yo/ on web2 ‘real estate’ such as social media ‘link-in-bios’, Lynqyo is accessing a significantly larger audience which goes beyond early web3 adopters.

lynq.yo/ links are gateways and education funnels that direct and convert traditional web2 users to the Lynqyo web3-ecosystem.

The user (fan) journey is supported by not using web3-jargon and adopting familiar language and layouts seen in normal web2 products while releasing all the power and democracy of web3.

The technology behind lynq.yo/ links: Powered by AI they are fully automated. Meaning they encompass machine predict, which evaluates the creative effectiveness of content. This analysis plus user traffic contributes to a database that evaluates high volumes of digital video, text and and audio.

This delivers increased creative power and productivity for creators, allowing them to evaluate more creative assets with confidence, so to optimize content and drive media and production efficiencies that ultimately get them closer to their fans.

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Last updated 2 years ago

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