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AI meeting assistant for agencies that turns calls directly into finished client deliverables like slides, briefs, and proposals.
Enterprise AI agent platform for building, deploying, and governing no-code agents across company knowledge and workflows.
Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
Side-by-side arena to compare AI coding models and build multi-file apps, with a public leaderboard and battle mode.
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No public pricing
No public pricing
- ✦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
- ✦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
- ✦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
- ✦Head-to-head model comparison
- ✦Battle mode matchups
- ✦Public model leaderboard
- ✦Multi-file app generation
- ✦File uploads as input
- →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
- →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
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Choosing the best coding model
- →Benchmarking AI code quality
- →Prototyping small apps