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Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
Vibe-coding builder creating full-stack apps by chatting with AI.
White-label custom-GPT chatbot builder for agencies reselling AI support bots trained on client sites, files and 5,000+ apps.
AI prototyping tool that generates UI matching your design system, letting product teams test features fast.
Free all-in-one desktop AI app to chat with your documents and run RAG and AI agents fully local and private.
No public pricing
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
- ✦CodeFlying enables full-stack app creation via chat in minutes
- ✦Train bots on websites, documents and YouTube
- ✦5,000+ integrations plus API-driven actions
- ✦One-line widget embed and messaging-app channels
- ✦Full white-label and multi-client management
- ✦Switchable models (GPT, Claude, Gemini, Mistral)
- ✦95+ languages with analytics and lead capture
- ✦AI UI generation from prompts
- ✦Match existing styling and design systems
- ✦Rapid, high-fidelity prototyping
- ✦Live team editing and sharing
- ✦Enterprise security and compliance
- ✦Chat with your documents (RAG)
- ✦Runs locally and offline for privacy
- ✦Supports any LLM (local or cloud)
- ✦Built-in AI agents
- ✦Handles PDFs, Word, CSV, codebases
- ✦No-code setup
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
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- →Automating repetitive customer support
- →Agencies reselling branded chatbots
- →E-commerce and lead-generation assistants
- →Multilingual website help desks
- →Prototype new product features
- →Test designs with customers
- →Build design-system-consistent mockups
- →Privately querying your own documents
- →Running local AI without the cloud
- →Building AI agents over your data
- →Using multiple LLM providers in one app