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Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.
Documentation platform for publishing accurate, AI-ready docs sites, with Git sync and an MCP server for AI tools.
AI prototyping tool that generates UI matching your design system, letting product teams test features fast.
Free, local, open-source AI app builder that works with any AI model and exports real code you own, with zero lock-in.
No public pricing
Free trial available
No public pricing
Free trial available
No public pricing
No public pricing
- ✦Signals-based fine-grained reactivity
- ✦Built-in control flow and deferrable views
- ✦Server-side rendering and hydration
- ✦First-party routing, forms and dependency injection
- ✦AI-forward tooling and MCP resources
- ✦In-browser tutorials and playground
- ✦One-click bug capture via browser extension
- ✦Automatic repro steps
- ✦Console, network and device logs
- ✦Instant replay of recent activity
- ✦Backend tracing and an AI debugger
- ✦Integrations with Jira, Linear, GitHub and Slack
- ✦Publish structured documentation sites
- ✦Git sync for docs-as-code workflows
- ✦AI setup agent to build and import docs
- ✦GitBook MCP server for AI access
- ✦Enterprise controls
- ✦Free tier to start
- ✦AI UI generation from prompts
- ✦Match existing styling and design systems
- ✦Rapid, high-fidelity prototyping
- ✦Live team editing and sharing
- ✦Enterprise security and compliance
- ✦Local-first, open-source app building
- ✦Works with any AI model or provider
- ✦Exports real, ownable code (no lock-in)
- ✦Supabase database, auth, and server functions
- ✦Built-in security review and fixes
- ✦Deploy to GitHub and Vercel; MCP server support
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Filing detailed bug reports
- →Reproducing issues faster in QA
- →Sharing debug context with engineers
- →Triaging support bug reports
- →Publish product and API documentation
- →Maintain docs-as-code with Git sync
- →Make docs consumable by AI assistants
- →Import existing docs into a hosted site
- →Prototype new product features
- →Test designs with customers
- →Build design-system-consistent mockups
- →Building full-stack apps with your own AI models
- →Prototyping without proprietary platform lock-in
- →Adding database and auth via Supabase
- →Deploying apps to GitHub and Vercel