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Development of Web3-Powered Fantasy Esports Platform with Realtime Analytics
  1. case
  2. Development of Web3-Powered Fantasy Esports Platform with Realtime Analytics

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Development of Web3-Powered Fantasy Esports Platform with Realtime Analytics

iversoft.ca
Sports
Gaming
Gambling

Challenges in Realtime Sports Data Management

Need to track team ownership, player contracts, and dynamic performance statistics in real-time during live gameplay while demonstrating blockchain-based monetization viability at scale. Requirements include transparent revenue distribution, cross-platform synchronization, and handling 30 million+ concurrent users.

About the Client

Fantasy esports platform enabling virtual team ownership through blockchain technology

Platform Launch Goals

  • Create 24/7 operational fantasy sports environment
  • Support 30M+ simultaneous players
  • Implement blockchain-based ownership verification
  • Develop automated revenue distribution smart contracts
  • Secure celebrity investor partnerships

Core System Capabilities

  • Virtual team ownership via ERC1155 tokens
  • Live player stat tracking with metadata synchronization
  • Smart contract-based revenue sharing
  • Multi-platform streaming integration
  • Decentralized token management system

Technology Stack Requirements

Web3/Solidity
AWS IVS & S3
Auth0
Ably RTC
NestJS
MongoDB
Unreal Engine
IPFS via Pinata

Third-Party System Integrations

  • Polygon Network
  • Contentful CMS
  • OBS Studio
  • PaperSpace
  • Netlify
  • Terraform

Operational Requirements

  • High-volume transaction processing
  • Sub-second realtime data updates
  • Enterprise-grade security protocols
  • Auto-scaling cloud infrastructure
  • Cross-platform streaming synchronization

Business Transformation Potential

Enables first-ever blockchain-based fantasy sports platform with proven scalability, attracting celebrity investments and strategic partnerships. Creates new revenue streams through tokenized assets and automated smart contract transactions while establishing technical feasibility for mass adoption.

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