LEXA AI
  • πŸ€–Lexa AI
  • πŸ‘©β€πŸ«1. Introduction
    • πŸ“‡1.1 Overview Of Project
    • 😎1.2 Problem Statement
    • πŸ’‘1.3 Lexa's Solution
  • 2. Market Analysis
    • 🎯2.1 Target Market Size
    • 🏎️2.2 Competitive Landscape
    • 〽️2.3 Annual Potential Market Size
  • 🐷2.4 Enhanced Cost Savings with LexaBot
  • 3. Key Features of Lexa
  • πŸ‘¨β€πŸš€3.1 Around-the-Clock Assistance With Auto Reply
  • πŸ˜‚3.2 Keeps Community Active with Meme Magic
  • πŸ“Ό3.3 Voice Chat Functionality
  • πŸ€‘4. Additional Features
    • πŸ‘½4.1 Buy Bot Integration
    • πŸ‘Ύ4.2 All Rose & Paal AI Bot Features
    • 🐦4.3 Twitter Raiding Bot
    • πŸ“Ί4.4 Telegram Portal Setup
  • ☣️5.Tokenomics
  • ✨6.Revenue Model
    • πŸ“’6.1 Ads Revenue
    • 🀝6.2 Revenue Sharing
    • 🌟6.3 Operational and Growth Expenses
  • πŸ—ΊοΈ7. Roadmap
    • βš“7.1 Pre-Launch
    • πŸ₯‘7.2 Launch
    • πŸ“ˆ7.3 Growth
  • πŸ”–8. Conclusion
  • πŸ”—Useful Links
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  1. 1. Introduction

1.2 Problem Statement

Crypto communities on Telegram are vibrant and active round-the-clock. They require constant moderation to filter spam, answer queries, and maintain engagement. The current solutions are either human moderators, who can't be available round the clock, or traditional bots, which lack the nuanced understanding of project-specific queries. This gap leaves a critical need for a smarter, more adaptive solution.

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Last updated 1 year ago

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