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Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
Composio connects apps to LLMs and IDEs with 250+ MCP servers; high-traffic developer platform.
One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.
AI design-to-code tool that converts Figma designs or cloned websites into HTML/React and builds apps with vibe coding.
Local deep packet inspection and network intelligence giving businesses full visibility into application, VPN and Tor traffic.
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- ✦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
- ✦Managed MCP Server
- ✦MCP Integrations
- ✦Managed Auth
- ✦Improved tool accuracy
- ✦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
- ✦Figma-to-code (HTML/React)
- ✦Clone any or private website to code
- ✦AI website and app builder
- ✦Figma agent (Buddy) and design agent
- ✦Anima MCP server and API
- ✦Adobe XD support
- ✦Local deep packet inspection agent
- ✦Application identification data feeds
- ✦VPN and Tor IP datasets
- ✦Network informatics and analytics
- ✦Developer documentation
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Connect Agents, LLMs, and IDEs with 250+ fully managed MCP servers.
- →Connect Agents with 15k+ tools through Composio’s Model Context Protocol (MCP) servers
- →Filing detailed bug reports
- →Reproducing issues faster in QA
- →Sharing debug context with engineers
- →Triaging support bug reports
- →Converting Figma designs to code
- →Cloning sites as starting points
- →Building web apps with AI
- →Automating design-to-code in dev workflows
- →Classify application traffic on a network
- →Detect VPN and Tor usage
- →Feed DPI data into security and analytics tools