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Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
Connects Git repos to answer plain-English questions about your code with file references and dependency context.
Enterprise AI agent platform for building, deploying, and governing no-code agents across company knowledge and workflows.
AI meeting assistant for agencies that turns calls directly into finished client deliverables like slides, briefs, and proposals.
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
- ✦Natural-language search across a codebase
- ✦Architecture explanations and dependency graphs
- ✦Bug hunter that traces issues across files
- ✦AI code review before opening a PR
- ✦Automatic documentation generation
- ✦Multi-repo support via OAuth
- ✦No-code visual agent builder
- ✦Company knowledge search across docs and wikis
- ✦Scheduled and recurring agent automations
- ✦Model-agnostic access to major AI models
- ✦Browser extension integration with 30,000+ apps
- ✦Data analysis of spreadsheets and reports
- ✦Enterprise SSO/SCIM/SAML and dedicated deployment
- ✦Bot-free AI meeting notetaking
- ✦Auto-generated slides, documents, and spreadsheets from meetings
- ✦Pre-built templates for briefs, proposals, and pitch decks
- ✦AI image generation tied to meeting context
- ✦Desktop notetaker for Mac and Windows
- ✦Integrations and MCP support
- ✦Orchestration
- ✦SDK
- ✦Prompting
- ✦Evaluations
- ✦Retrieval
- ✦Deployment
- ✦Observability
- ✦Visual Workflow Builder
- ✦LLM Playground
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Onboarding new engineers faster
- →Answering questions about a codebase
- →Understanding how components connect
- →Finding and diagnosing bugs
- →Generating documentation from code
- →Automating recurring reports and workflow tasks
- →Searching internal company knowledge with AI agents
- →Deploying AI copilots for sales, support, or legal teams
- →Running enterprise AI with strict data governance requirements
- →Agencies converting client calls directly into briefs or proposals
- →Teams turning brainstorm meetings into pitch decks
- →Client services teams producing one-pagers from discovery calls
- →Building agentic AI workflows
- →Generating a LinkedIn post from a URL
- →Testing prompt designs and model configurations
- →Evaluating AI system quality
- →Deploying AI updates
- →Monitoring AI decisions