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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 Pine Script generator for TradingView strategies and indicators.
Connects Git repos to answer plain-English questions about your code with file references and dependency context.
Community platform running free online and hybrid AI hackathons where builders form teams and ship prototypes with new AI tech.
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
- ✦AI-powered Pine Script code generation
- ✦Custom strategy and indicator creation
- ✦Error correction and code optimization
- ✦TradingView integration
- ✦Natural-language search across a codebase
- ✦Architecture explanations and dependency graphs
- ✦Bug hunter that traces issues across files
- ✦AI code review before opening a PR
- ✦Automatic documentation generation
- ✦Multi-repo support via OAuth
- ✦AI hackathon events (online and hybrid)
- ✦Team formation and mentorship
- ✦Boilerplates and tutorials
- ✦Project submissions and leaderboard
- ✦Access to sponsor AI tech and credits
- ✦Builder community
- →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
- →Generating custom trading strategies for backtesting on TradingView
- →Creating custom indicators for technical analysis
- →Automating the process of writing Pine Script code
- →Onboarding new engineers faster
- →Answering questions about a codebase
- →Understanding how components connect
- →Finding and diagnosing bugs
- →Generating documentation from code
- →Joining AI hackathons
- →Building and showcasing AI prototypes
- →Learning new AI tools
- →Networking with AI builders and labs