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Spellbox AI
✓ verifiedPaid
Desktop and VS Code AI coding assistant that generates and explains code from plain-language prompts, for developers and coding students.
15K saves
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Kombai
✓ verifiedFreemium
AI design engineer that designs UIs on a canvas and ships production frontend code in your own stack.
156K visits/mo
Pricing
No public pricing
Historical Data Pack: $49.9
Base Plan: $14.9/month
Advanced Plan: $24.9/month
Enterprise Plan: $34.9/month
1-year license: $40 (early-bird price, normally $65)
No public pricing
Free: $0 (300 credits/month)
Pro: $20/month (2,000 credits)
Team: $40/user/month
Core features
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
- ✦Commits and Pull Requests Dashboard
- ✦Advanced Developer Skills Analysis
- ✦Strategic Investment Balance Monitoring
- ✦Collaborative Developers Map
- ✦Benchmarking Comparison with Other Teams
- ✦Smart Notifications
- ✦AI code generation from natural-language prompts
- ✦AI code explanation for unfamiliar snippets
- ✦Snippet bookmarking for later reuse
- ✦VS Code extension integration
- ✦Support for major programming languages
- ✦Desktop apps for Windows and macOS
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- ✦Design UIs on an infinite canvas
- ✦Production frontend code in your stack (400+ libraries)
- ✦Reuses your components, tokens, and hooks
- ✦In-browser editing with DevTools context
- ✦Design and code stay synced in your repo
- ✦Asset and animation generation
Use cases
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Visualize historical graphs of code evolution
- →Assess development team performance using RSI and EMA
- →Understand developer skills and identify areas for improvement
- →Categorize commits by type (fixes, refactoring, etc.) to analyze investment balance
- →Identify individual and collective contributors within the team
- →Compare team performance with industry benchmarks
- →Receive weekly and monthly reports with AI-extracted insights
- →Speeding up debugging and syntax lookup for professional developers
- →Helping students understand coding concepts step by step
- →Generating boilerplate or algorithmic code snippets
- →Saving and organizing reusable code snippets across projects
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- →Turning designs into production frontend code
- →Building landing pages and product UIs
- →Refining UI directly in the browser
- →Keeping design and code in sync
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