An intelligent link saving application that uses AI to automatically summarize and categorize your links.

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• User Authentication: Secure registration and login with JWT. Includes password confirmation for new accounts.
• Save & Analyze: Save any URL, and the app will automatically fetch the title, description, and a relevant image.
• AI-Powered Summaries: Google Gemini AI generates a concise summary of every link you save.
• AI-Powered Tagging: Links are automatically categorized for easy discovery.
• Clean Dashboard: View all your saved links in a clean, minimalist dashboard.
• Search Functionality: Instantly search through your saved links by title or domain.
• Modern UI: A clean, light-themed, and responsive interface built with React and Tailwind CSS.
• Landing Page: A beautiful and welcoming landing page for new users.

• Frontend: React, TypeScript, React Router, Tailwind CSS, Axios
• Backend: Node.js, Express, PostgreSQL
• AI: Google Gemini
• Authentication: JWT, bcrypt

• Node.js (v18 or later recommended)
• A PostgreSQL database. You can use a free provider like Neon.

1. In the root of the project, create a file named .env.
2. Copy the contents of .env.example into your new .env file.
3. Fill in the values in your .env file:
   • DATABASE_URL: Your full PostgreSQL connection string.
   • GEMINI_API_KEY: Your API key from Google AI Studio.
   • JWT_SECRET: A long, random string for signing tokens. You can generate one here.
   • PORT: The port for the backend server (defaults to 3001).

1. Install dependencies for both the root and the server directory:

   npm install

2. Start the frontend and backend servers:
   • To run the backend server (on port 3001):

     npm run server

   • To run the frontend dev server (on port 5173):

     npm run dev

Your application should now be running. Open your browser to the frontend URL to see the landing page.

• POST /api/auth/register - Register new user
• POST /api/auth/login - User login
• GET /api/auth/me - Get current user info

• POST /api/links - Save a new link
• GET /api/links - Get all user's links
• GET /api/links/:id - Get specific link details
• DELETE /api/links/:id - Delete a link

1. URL Validation: Ensures valid URL format
2. Metadata Extraction: Fetches page title, description, and Open Graph image
3. AI Analysis: Gemini AI analyzes content for tagging and summarization
4. Database Storage: Saves all data with user association

• Password hashing with bcrypt
• JWT token authentication
• Protected API routes
• SQL injection prevention with parameterized queries

• Real-time search and filtering
• Responsive grid and list views
• Smooth loading states
• Error handling with user feedback
• Optimistic UI updates

For production deployment:

1. Set up your PostgreSQL database
2. Configure environment variables on your hosting platform
3. Build the frontend: npm run build
4. Deploy both frontend and backend
5. Set up SSL certificates for secure connections

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Test thoroughly
5. Submit a pull request

This project is licensed under the MIT License.