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Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
No-code AI builder that turns prompts into full-stack iOS, Android and web apps with a managed backend and Stripe payments.
Online database-design tool with sample schemas and an AI generator to explore, modify or build database structures visually.
AI SQL toolkit for analysts and developers to generate, optimize, validate, format and explain queries across 30+ database engines.
No public pricing
No public pricing
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 app builder for iOS, Android and web
- ✦Managed backend via Supabase (DB, auth, storage)
- ✦Built-in Stripe payment integration
- ✦Agent mode with usage-based pricing
- ✦Mobile creator app for building on the go
- ✦GitHub export and code editor
- ✦Library of sample database designs
- ✦Visual database designer / diagram tool
- ✦AI database generator
- ✦Modify and optimize existing schemas
- ✦SQL script export
- ✦Dialect converters (MySQL/PostgreSQL/MSSQL)
- ✦Natural-language to SQL/NoSQL query generation
- ✦AI-driven query optimization with rewrite suggestions
- ✦Syntax validation with automated error fixes
- ✦Query formatting and cross-engine conversion
- ✦Schema-aware data source connections with autosuggest
- ✦Rule-based guardrails per connected data source
- ✦Support for large schemas with 900+ tables
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Building an MVP without coding
- →Launching mobile apps quickly
- →Prototyping app ideas
- →Adding payments to a no-code app
- →Finding a starting schema for a project
- →Designing a database visually
- →Generating a schema with AI
- →Converting between SQL dialects
- →Analysts writing SQL without deep query-syntax knowledge
- →Developers debugging and optimizing slow queries
- →Teams standardizing SQL formatting across a codebase
- →Migrating queries between database engines
- →Learners wanting plain-language explanations of SQL statements