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Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
No-code 'vibe coding' platform where users chat with AI to generate websites, apps, dashboards, prototypes, and games.
Low-code integration platform for connecting thousands of APIs into workflows and AI agents, including an MCP tool server.
AI app builder turning English prompts into full-stack apps with provisioned DB, auth and hosting; also hosts autonomous agents.
No public pricing
No public pricing
No public pricing
No public pricing
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
- ✦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
- ✦Chat-based AI website, app, and game generation
- ✦AI dashboard generator with charts wired to data sources
- ✦Figma-to-code conversion for production-ready pages
- ✦Internal tools builder for CRMs, HR systems, and trackers
- ✦Automatic error detection and fixing
- ✦Built-in database and API with no separate key setup
- ✦Credit-based 'Rewind' system to redo attempts without losing all credits
- ✦Visual and code-based workflow builder
- ✦Prebuilt AI agent builder and deployment
- ✦Managed authentication across thousands of apps
- ✦MCP server exposing integrations as agent tools
- ✦Scheduled and event-triggered workflows
- ✦Connect SDK for embedding integrations into other products
- ✦Natural-language full-stack app generation
- ✦Auto-provisioned Postgres, auth, storage and hosting
- ✦Full code ownership with GitHub export
- ✦Managed hosting for autonomous AI agents
- ✦200+ bundled AI models
- ✦MCP and CLI tooling
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Non-developers building a landing page or prototype from a description
- →Converting a Figma design directly into a live website
- →Creating internal business tools without hiring developers
- →Building simple games or experimental creative web projects
- →Building AI agents that call external APIs and tools
- →Automating cross-app workflows such as Slack, Gmail, or Sheets notifications
- →Embedding third-party integrations into a SaaS product
- →Prototyping event-driven automations without heavy infrastructure
- →Ship a SaaS without an engineering team
- →Build internal tools from a description
- →Deploy always-on AI agents quickly
- →Provide infra for AI-coded apps