How to vibe codeGlasp
Social web & PDF highlighter and AI knowledge-management platform
glasp.co ↗Productivity & Knowledge Management
The verdict: can you vibe code Glasp?
You can build a personal clone of the core highlighter, library, and AI RAG chat, but cross-browser DOM text anchoring under layout changes will test your patience.
Replicating the core loop—highlighting text via a browser extension, saving it to a database, and chatting with an AI over your personal archive—is a satisfying weekend project that scales into a solid side project. However, production-grade text anchoring on arbitrary websites using fuzzy selector heuristics requires substantial edge-case debugging. The social discovery feed and community network effects cannot be cloned, but a personal private vault is entirely within reach.
Estimated effort: 3-4 weeks of focused development
What you can't replicate
- The 1,000,000+ active user community and social knowledge graph
- Organic third-party integrations and ecosystem mindshare
- Existing public highlight repository of millions of notes
Founded
2021
Raised
—
Team
1-10
Cheapest paid tier
$12.50/mo
What Glasp does
Glasp is a social web and PDF highlighter, reading tool, and AI knowledge-management platform that allows users to capture content across the web, Kindle, and YouTube, organize it into a personal library, and interact with it using an AI memory and MCP connectors.
Core features
- Cross-browser highlighting extension (Chrome, Safari, Edge)
- DOM text selection anchoring and sidebar UI injection
- YouTube video transcript fetching and timestamp clipping
- Centralized personal library with tagging and author organization
- RAG-based AI chat and memory grounded in user highlights
- MCP (Model Context Protocol) server connector for Claude and ChatGPT
- Bi-directional exports to Notion, Obsidian, and Markdown
The business
Pricing
- FreeFree
- Pro$12.50/mo
- Unlimited$30/mo
Funding
Unknown / bootstrapped
Pay vs build, cumulative
Break-even at month 3 — after that, every month is money kept.
The hard parts of vibe coding Glasp
- Maintaining robust text-highlight anchoring across arbitrary, dynamically updating web pages without breaking target DOMs
- Building a cross-browser extension manifest v3 architecture that syncs state seamlessly with a cloud backend
- Orchestrating vector chunking, embedding generation, and semantic RAG search across heterogeneous content types (web, PDF, YouTube transcripts)
How to vibecode Glasp
Prerequisites
Node.jsfree
Required for running the Next.js web dashboard and extension build tools.
GitHubfree
Source control and deployment pipeline integration.
Anthropic API keypay-as-you-go
Powers the AI summaries, highlight chat, and MCP server features.
AI coding tools
Recommended stack
| Frontend | Next.js with Tailwind CSS and browser extension content scripts |
|---|---|
| Backend | Next.js Server Actions and API routes |
| Database | Turso (SQLite at the edge with vector embeddings) |
| Auth | better-auth |
| Payments | none |
| Other | Anthropic API for RAG chat, Model Context Protocol (MCP) SDK |
Build guide
01Scaffold Next.js Dashboard and Database Schema
Initialize the Next.js project with Tailwind CSS, configure Turso database with vector support, and set up better-auth for secure user authentication.
Create a new Next.js project with Tailwind CSS and TypeScript. Set up Turso database connectivity using Drizzle ORM or native libSQL. Define database schemas for users, highlights (id, user_id, url, title, selected_text, note, xpath_start, xpath_end, created_at), tags, and vector embeddings for semantic search. Implement better-auth for email/password and session management. Ensure all environment variables are documented in a .env.example file.02Build Browser Extension Scaffolding and Content Script
Develop a Manifest V3 browser extension structure with a background service worker and content script capable of listening for text selections and rendering highlight tooltips.
Scaffold a Chrome extension using Manifest V3 inside an extensions/ directory within the Next.js repository. Create a background worker that handles authentication tokens and API syncing with the Next.js backend. Write a content script that listens for 'mouseup' text selection events on arbitrary web pages, calculates DOM XPath coordinates for the selected text, and injects a floating highlight action button near the cursor.03Implement DOM Highlighting and Visual Restoration
Enable highlighting persistence by re-injecting and rendering stored highlights when a user revisits a previously highlighted URL.
Enhance the extension content script to fetch stored highlights for the current page URL from the Next.js backend upon page load. Implement robust DOM traversal logic using XPath ranges or text-fragment anchor selectors to wrap saved highlight spans in CSS background colors. Add click handlers to highlight spans that open an annotation popover showing associated user notes.04Develop Web Library Dashboard and Tag Organization
Build the web app dashboard where users can view, filter, search, and manage their saved highlights and notes across all captured web pages.
Create a dashboard page in Next.js (/library) displaying a masonry or list view of all user highlights grouped by article and author. Implement full-text search and tag filtering using server actions against Turso. Add inline note editing and deletion capabilities with optimistic UI updates.05Integrate AI RAG Chat and Summarization
Implement vector embedding generation on highlight creation and build an AI chat interface grounded in the user's personal knowledge base.
Set up an ingestion pipeline that generates vector embeddings for new highlights using an embedding model and stores them in Turso. Build an AI chat API route using the Anthropic API that performs semantic search over the user's highlights to construct a RAG context window. Implement a clean chat UI sidebar on the dashboard allowing users to query their personal knowledge base.06Build MCP Server Connector and Export Features
Create an MCP server endpoint that allows external AI clients like Claude desktop to query the user's highlights, alongside Markdown and JSON export options.
Implement an MCP (Model Context Protocol) server route in Next.js that exposes tools for searching and retrieving user highlights securely via authenticated API keys. Add export endpoints that format user highlights into clean Markdown, JSON, or Notion-compatible block structures for easy note-taking app syncing.
Cost vs paying for Glasp
What will you build it with?
Starting total with Claude Code$0 one-time
Starting costs (one-time)
- AI Coding Assistant Subscription$20
Total$20 one-time
Ongoing costs (monthly)
- Vercel & Turso Hobby Tiers$0/mo
- Anthropic API Usage~$3-5/mo
Total~$4/mo
Paying for Glasp
$12.50/mo (Pro)
Your time to build
25-35 hours
AI tool credits
$20 (Claude Code / Cursor)
Break-even
1 month of Pro subscription
Vibe code Glasp: FAQ
- Can you vibe code Glasp yourself?
- Solid side project — 62/100 vibecodeable. You can build a personal clone of the core highlighter, library, and AI RAG chat, but cross-browser DOM text anchoring under layout changes will test your patience.
- How long does it take to vibe code Glasp?
- 3-4 weeks of focused development — roughly 25-35 hours of hands-on time with an AI coding agent.
- How do you build your own Glasp?
- Scoped to personal use: Next.js with Tailwind CSS and browser extension content scripts on the front, Next.js Server Actions and API routes behind it, Turso (SQLite at the edge with vector embeddings) for data. Follow the 6-step build guide on this page — each step has a paste-ready prompt for an AI coding agent.
- How do you code your own Glasp without being an expert?
- Use an AI coding tool (Claude Code or Cursor) and work in small steps: scaffold, data model, core screens, then deploy. Realistic effort: 3-4 weeks of focused development. The prompts on this page are written so the AI does the heavy lifting.
- How much does it cost to vibe code Glasp instead of paying?
- About $20 one-time to start and ~$4/mo to run, versus $12.50/mo (Pro) for Glasp. Break-even: 1 month of Pro subscription.
- What stack should you use to vibe code Glasp?
- Next.js with Tailwind CSS and browser extension content scripts; Next.js Server Actions and API routes; Turso (SQLite at the edge with vector embeddings); plus Anthropic API for RAG chat, Model Context Protocol (MCP) SDK.