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Premium Figma and Framer UI kit with hundreds of components, variants and icons for building polished, themeable sites.
AI app builder that turns chat prompts into working web apps and sites, with credit-based build and deploy.
AI-powered SQL optimizer for PostgreSQL and MySQL that auto-rewrites and indexes queries; now free as part of Aiven.
Online database-design tool with sample schemas and an AI generator to explore, modify or build database structures visually.
Google Labs experiment for building and sharing AI mini-apps from natural-language prompts, no coding required.
No public pricing
No public pricing
No public pricing
No public pricing
- ✦300+ Figma UI components
- ✦2,000+ Figma variants
- ✦2,116 icons
- ✦Framer-ready components and templates
- ✦Deep theming (glass, line, flat styles)
- ✦Adaptive layouts with variables
- ✦Chat-to-app and website generation
- ✦Real-time prototype building
- ✦One-click deploy and hosting
- ✦Templates to start projects
- ✦Credit-based building with shared workspaces
- ✦You own your code and data
- ✦Automatic SQL query optimization
- ✦Query rewriting and indexing suggestions
- ✦Non-intrusive performance sensor
- ✦Ongoing performance insights
- ✦Database cost-reduction recommendations
- ✦PostgreSQL and MySQL support
- ✦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)
- ✦Build AI mini-apps from natural-language prompts
- ✦Visual editor for prompt/tool workflows
- ✦Share created apps with others
- ✦No-code AI app prototyping
- →Build a website or app UI in Figma
- →Hand off Figma designs to Framer
- →Speed up prototyping with prebuilt components
- →Build web apps without coding
- →Prototype product ideas quickly
- →Create landing pages and sites
- →Ship internal tools
- →Optimizing slow SQL queries
- →Monitoring database performance
- →Reducing database CPU and storage costs
- →Getting indexing recommendations
- →Finding a starting schema for a project
- →Designing a database visually
- →Generating a schema with AI
- →Converting between SQL dialects
- →Prototyping an AI workflow quickly
- →Sharing a custom AI mini-app
- →Automating a task with chained prompts