🔍 Solana-AlphaSniffer

Sniff out Solana alpha from tweets.
A Python tool that extracts Solana contract addresses (CAs) or token tickers ($XYZ) from tweets, analyzes price action via Flipside SQL/API, and surfaces high-potential investments.

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🚀 How It Works

1. Input: Provide an X (Twitter) username and a time window (e.g., 7 days).
2. Scan: The tool scrapes tweets for:
   • Solana Contract Addresses (CAs)
   • Token Tickers (words starting with $, e.g., $SOL)
3. Analyze:
   • For CAs: Directly queries Flipside API for price action data.
   • For Tickers:
     • Fetches all associated CAs from Flipside.
     • Uses GeckoTerminal’s DEX API to identify the CA with the highest market cap.
     • Displays price trends for the top asset.
4. Output: Clean visualizations of historical price action.

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🛠️ Installation & Usage

Prerequisites

• Python 3.10+
• Flipside API key
• Twitter/X API credentials (optional for public scraping)

Setup

1. Clone the repo:

   git clone https://github.com/your-username/Solana-AlphaSniffer.git  
   cd Solana-AlphaSniffer
   

2. Install dependencies:

   pip install -r requirements.txt
   

3. Add API keys to .env:

   FLIPSIDE_API_KEY=your_key_here  
   TWITTER_BEARER_TOKEN=optional_if_scraping
   

Run Locally

streamlit run streamlit_app.py

🌌 Why It’s Cool

• Automates alpha hunting – No manual address/ticker searches.

• Prioritizes high-market-cap tokens – Filters out noise.

• Built for Solana degens – Optimized for speed and reliability.

🤝 Contribute

PRs welcome! Ideas:

• Add more DEX APIs (Birdeye, Orca).

• Improve tweet filtering (e.g., ignore memecoins without CAs).

License: MIT