A comprehensive financial dashboard and business simulation tool for startup founders. The application consists of three main components:

1. Financial Dashboard: Real-time visualization of key financial metrics
2. AI Assistant: LLM-powered financial advisor
3. Business Simulation: Oregon Trail-style business decision simulator

• Real-time tracking of key metrics (MRR, ARR, Revenue Growth, etc.)
• Expense tracking and categorization
• Cash flow monitoring
• Runway calculation
• Transaction history

• Ask questions about your financial metrics
• Get advice on cost reduction
• Analyze business performance
• Historical Q&A tracking

• Make strategic business decisions
• Experience different market scenarios
• Track impact of decisions on key metrics
• Learn from historical decisions

• Python 3.8+
• Node.js 14+
• OpenAI API key

1. Create a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

2. Install dependencies:

   pip install -r requirements.txt

3. Create a .env file in the root directory:

   OPENAI_API_KEY=your_openai_api_key
   

4. Initialize the database:

   python app.py

1. Navigate to the frontend directory:

   cd frontend

2. Install dependencies:

   npm install

3. Start the development server:

   npm start

1. Start the backend server:

   python app.py

2. Start the frontend development server:

   cd frontend
   npm start

3. Access the application at http://localhost:3000

• GET /api/metrics - Get all metrics
• POST /api/metrics - Add a new metric

• GET /api/transactions - Get all transactions
• POST /api/transactions - Add a new transaction

• POST /api/ask - Ask a question to the AI assistant

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

This project is licensed under the MIT License - see the LICENSE file for details.