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Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
AI tool for engineering teams that automates code review, status updates, and answers questions about what's changing in code.
AI-assisted low-code platform for building governed internal tools and workflows that connect directly to production data.
Jira-native tool that turns existing issues into customer roadmaps, release notes, and feedback portals without duplicate data entry.
No public pricing
No public pricing
Free trial available
Free trial available
- ✦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
- ✦AI code review
- ✦Automatic engineering status updates
- ✦Agent that answers questions and takes action
- ✦Metrics on coding time and project focus
- ✦Pushed vs landed tracking
- ✦Commit and contributor insights
- ✦AI prompt-to-app builder for production-ready internal tools
- ✦MCP server for building apps from external AI coding agents
- ✦Import of apps built in other platforms via ZIP or GitHub sync
- ✦Direct, permission-governed connections to production data sources
- ✦Workflow automation and orchestration across systems
- ✦Mobile app support alongside web apps
- ✦Enterprise access controls, SSO and audit logging
- ✦Self-hosting option for regulated environments
- ✦Roadmaps synced live from Jira issues
- ✦AI-generated release notes
- ✦Customer feedback and idea portals
- ✦Audience-specific roadmap views
- ✦Password-protected or invite-only sharing
- ✦Publishing to Confluence and Slack
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Automating code reviews
- →Keeping stakeholders updated on engineering progress
- →Understanding what's changing in a codebase
- →Tracking team productivity metrics
- →Engineering and ops teams building internal admin tools fast
- →IT centralizing governance over AI-generated business apps
- →Enterprises building embedded portals for external users
- →Teams automating multi-step operational workflows
- →Sharing a public product roadmap with customers
- →Publishing release notes automatically from Jira tickets
- →Collecting and prioritizing customer feature requests
- →Giving executives a curated view of product progress