Technical Architecture

• Blockchain Layer

  • Built on Solana using Rust for smart contracts.

  • Stores trend metadata and user interactions on-chain for transparency.

  • Uses Solana’s high throughput to handle thousands of data queries per second.

• AI Layer

  • Off-chain AI models (hosted on decentralized compute networks like Render or Akash) process large datasets.

  • Models include:

    • NLP for sentiment analysis (e.g., fine-tuned BERT for X post analysis).

    • Clustering algorithms (e.g., K-means) to group similar market behaviors.

    • Predictive models for forecasting trends.

  • Results are fed back to Solana via oracles for on-chain storage and dApp access.

• Data Sources

  • On-Chain: Solana blockchain data (e.g., token transfers, NFT mints, DeFi pool activity) via Solana’s RPC nodes.

  • Off-Chain: X posts (via API or user submissions), news APIs, and market data feeds (e.g., CoinGecko, CoinMarketCap).

  • Community-Sourced: Users can submit X posts or market signals, validated by staked nodes to prevent spam.

• Scalability

  • Solana’s 65,000+ TPS ensures the platform can handle high-frequency data updates and user queries.

  • Off-chain compute reduces on-chain costs while maintaining decentralization.