Idea Sieve - AI-Powered Idea Validator

Idea Sieve is an evidence-based validation system designed to help entrepreneurs and product teams assess and refine their startup and product ideas. Built using modern web technologies such as TypeScript and React, combined with cutting-edge AI capabilities, it enables users to make informed decisions based on rigorous evaluations and market data.

Key Features

• Configurable Assessment Styles: Choose from various tones for idea validation, including:
  • Brutal: Extremely critical with high standards.
  • Balanced: Offers constructive feedback that is fair and honest (default option).
  • Encouraging: Supportive feedback aimed at problem-solving.
  • Optimistic: Highlights potential and growth opportunities.
• Multi-Stage Validation Framework: Includes real-time updates, competitor research, evidence-based recommendations, and detailed scoring.
• Wide Range of Supported Idea Types: Validates different kinds of projects—from SaaS and mobile apps to marketplaces, Chrome extensions, and more.

How It Works

1. Users submit their ideas through the interactive React frontend.
2. The backend processes the submission using the Hono web framework and streams updates in real-time.
3. AI agents employ OpenAI and Tavily capabilities to conduct thorough research and analysis.
4. Results are compiled and stored in a PostgreSQL database, providing users with a comprehensive validation report.

Technology Stack

• Frontend: Built with React 19, TanStack Router, TailwindCSS, and Vite.
• Backend: Utilizes Hono and Bun for swift and efficient performance.
• Database: PostgreSQL for reliable relational storage.
• AI Integration: Leveraged through the AI SDK and Tavily for market analysis and competitor insights.

Getting Started

To deploy Idea Sieve using Docker:

1. Ensure Docker and Docker Compose are installed.
2. Clone the repository and set up the necessary environment variables including OpenAI and Tavily API keys.
3. Start the application using docker-compose up to run a complete stack including the frontend, backend, and database.

This robust system prioritizes transparency and actionable insights, ensuring that startups can avoid pitfalls early in their development process.

For more in-depth instructions on features, manual setup, and contribution guidelines, please refer to the repository's documentation.