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DesignCode UI logo
DesignCode UI
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Premium Figma and Framer UI kit with hundreds of components, variants and icons for building polished, themeable sites.

5.0K visits/mo
2.6K visits/mo
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Defog
✓ verifiedPaid

Enterprise text-to-SQL AI data analyst built on the SQLCoder model, for private, accurate natural-language querying of databases.

7.0K saves
Pricing
All-Access: $49 one-time (300+ components)
Pro: $120/year

No public pricing

No public pricing

Enterprise (Cloud Hosted): $5,000/mo (20,000+ queries/mo)
Core features
  • 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
  • Natural language to SQL conversion
  • Design canvas integrated directly into the IDE (VSCode/Cursor)
  • Agent-driven MCP canvas based on open design format
  • AI Multiplayer for generating screens and flows in parallel
  • Design as Code: Design files live in repo, versioned with Git
  • Pixel-perfect vector-to-code workflow
  • Natural-language querying of databases and CSVs
  • SQLCoder text-to-SQL model (privacy-preserving)
  • Connectors to Postgres, Snowflake and more
  • Learns from user feedback and preferences
  • Interpretable, explainable results
  • Self-hosted or cloud deployment options
Use cases
  • Build a website or app UI in Figma
  • Hand off Figma designs to Framer
  • Speed up prototyping with prebuilt components
  • Generating SQL queries from text descriptions.
  • Designing new products and features with pixel-perfect precision without leaving the development environment.
  • Eliminating design handoffs by having design and code live under one roof.
  • Accelerating workflow by using AI multiplayer to generate UI components and flows.
  • Shipping production-ready apps with guaranteed code-design alignment.
  • Integrating existing design systems directly from the codebase.
  • Self-service data analysis for non-analysts
  • Ad hoc drill-downs without writing SQL
  • Exploring hypotheses across company data
  • Deploying a private, on-prem AI analyst
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