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Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
All-in-one Dutch/Belgian funnel builder for launching AI-assisted websites, checkout pages, and subscriptions without coding.
AI tool for engineering teams that automates code review, status updates, and answers questions about what's changing in code.
Google Labs experiment for building and sharing AI mini-apps from natural-language prompts, no coding required.
No public pricing
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
- ✦Drag-and-block website and landing page builder
- ✦AI-generated sales copy and page text
- ✦Hosted checkout/payment pages for one-time and recurring sales
- ✦Upsells, dynamic pricing, and FOMO-style conversion boosters
- ✦Subscription and invoicing management with debtor tracking
- ✦Built-in course/e-learning and community hosting
- ✦Affiliate marketing program tools
- ✦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
- ✦Build AI mini-apps from natural-language prompts
- ✦Visual editor for prompt/tool workflows
- ✦Share created apps with others
- ✦No-code AI app prototyping
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Selling digital products, coaching, or online courses
- →Running subscription-based offers
- →Launching quote/order pages for physical products or events
- →Recovering unpaid invoices and managing customer accounts
- →Running affiliate-driven sales campaigns
- →Automating code reviews
- →Keeping stakeholders updated on engineering progress
- →Understanding what's changing in a codebase
- →Tracking team productivity metrics
- →Prototyping an AI workflow quickly
- →Sharing a custom AI mini-app
- →Automating a task with chained prompts