BookMind
A personal bookmark management system that uses AI to automatically generate summaries and enable semantic search, making it easy to find saved content by meaning rather than keywords.
Technologies Used
Links
Project Description
I’ve tried dozens of bookmark managers over the years. Some are too simple, others are bloated with features I don’t need, and the good ones cost more than I’m willing to pay for bookmark management.
BookMind is my solution: a custom bookmark system that does exactly what I need, the way I want it. The key differentiator is AI integration that makes finding saved content actually useful.
The Problem
Traditional bookmark managers fail in one crucial way: you need to remember what you saved to find it. Keywords only work when you recall the exact terms used in the original content.
BookMind solves this through:
- AI-generated summaries: Every bookmark gets an automatic summary
- Semantic search: Find bookmarks by meaning, not just keywords
- Smart organization: AI suggests categories and tags
Key Features
Intelligent Bookmarking
When you save a URL, BookMind:
- Extracts metadata (title, description, images)
- Generates an AI summary using Llama 3.1 70B
- Suggests relevant categories and tags
- Stores everything for semantic search
Semantic Search
Instead of keyword matching, search by concept:
- Query: “that article about CSS grid layouts”
- Finds: A bookmark titled “Modern Layout Techniques” that discusses grid
Organization
- Categories: Hierarchical organization
- Collections: Group related bookmarks
- Tags: Cross-cutting labels with AI suggestions
User Experience
- Multi-language: English and Spanish
- Themes: Dark and light mode with system preference detection
- Responsive: Mobile-first design for all devices
Technical Architecture
Frontend
- React 19 with Vite for fast development
- TypeScript for type safety
- Tailwind CSS v4 + shadcn/ui for styling
- Zustand for state management
- TanStack Query for server state
Backend
- PostgreSQL via Neon for database
- Drizzle ORM for type-safe database access
- Better Auth for authentication (Google, GitHub, Email)
AI Integration
- Groq API with Llama 3.1 70B model
- Fast inference for real-time summaries
- Cost-effective for personal use
Deployment
- Vercel for hosting with edge functions
Current Status
BookMind is in active development with a planned launch in December 2025. Core functionality is working, with ongoing refinements to AI integration and user experience.
Future Plans
- Browser extension for one-click saving
- Mobile app for on-the-go access
- Import from other bookmark managers
- Shared collections for teams
- Advanced filtering and search operators
Project Metrics
Key Highlights
- AI summaries automatically generated for every bookmark
- Semantic search - find by concept, not just keywords
- Smart organization with AI-suggested categories and tags
- Multiple export formats: JSON, HTML, CSV
- Multi-language support (English/Spanish)
- Dark/light mode with system preference detection
Challenges & Solutions
AI API rate limiting - Too many calls to Groq exhausted the limit
Processing queue plus aggressive summary caching
Semantic search performance - Embeddings were slow on search
Pre-compute embeddings when saving bookmarks
Inconsistent metadata extraction - Some sites lack og:tags
Fallback chain: og:tags → meta tags → title/description scraping
Why This Stack?
Fast and economical for personal use
Simple but complete auth, no vendor lock-in
Serverless PostgreSQL with type-safe queries
Future Improvements
- Browser extension for one-click saving
- Mobile app for on-the-go access
- Import from Chrome, Firefox, Pocket
- Shared collections for teams
- Advanced search operators