SnapTracker is an autonomous, high-fidelity competitive intelligence platform designed to transform raw market data into strategic tactical advantages. By bypassing static databases and performing live reconnaissance, SnapTracker provides real-time insights into your competitors' pricing, features, and market sentiment.
- Autonomous Multi-Brand Recon: Input natural language brand lists (e.g., "Stripe, PayPal, Adyen") and the system resolves official URLs and scrapes them in parallel.
- AI Sales Correlation: Cross-reference your product's sales trends against competitor feature launches to identify exact reasons for market shifts.
- Strategic Differentiation Index: Visualizes your unique value proposition mapped against the entire competitive landscape.
- Intelligence Expansion: Automated extraction of Revenue, User Base, and Market Sentiment (G2/Capterra) for every brand.
- Historical Diffing: Mathematically tracks word-level changes on competitor sites to detect strategic pivots instantly.
- Backend: FastAPI (Python 3.10+)
- Database: SQLAlchemy / SQLite (Auto-migrating)
- Intelligence: Groq Llama-3.3-70b-versatile
- Frontend: React 18, Tailwind CSS (Dark-Ops Aesthetic)
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Clone the Repository:
git clone <repository-url> cd fastapi_sqlite_crud
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Install Dependencies:
pip install -r requirements.txt
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Configure Environment: Create a
.envfile or export your API key:export GROQ_API_KEY="your_groq_api_key_here"
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Launch the Server:
python main.py
The server will automatically initialize the SQLite database and host the React frontend.
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Access the Console: Open
http://localhost:8000in your browser.
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