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Stitch by Google
✓ verifiedFree
Stitch by Google generates UIs for mobile/web apps; official Google product, huge traffic.
9.3M visits/mo1.5K saves
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GitFluence
✓ verifiedFree
Free AI helper that turns a plain-English description of a task into the matching Git command to copy and run.
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Knit
✓ verifiedFreemium
Multi-model prompt playground for building, testing, and versioning prompts with function-call simulation.
Pricing
No public pricing
No public pricing
No public pricing
No public pricing
Plus: $7/month (5 projects, 30 prompts/project, gpt-4 access)
Pro: $21/month (unlimited projects and prompts, 10,000 credits/month)
Core features
- ✦AI-powered UI generation for mobile and web applications
- ✦Transform ideas into UI designs using text or images
- ✦Easy iteration and design adjustments
- ✦Export static HTML code and Figma files
- ✦Users retain ownership of their generated designs
- ✦Leverages Google DeepMind's Gemini AI models
- ✦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)
- ✦Natural-language to Git command suggestions
- ✦AI-driven command matching
- ✦Copy-ready command output
- ✦Git guides and reference
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- ✦Three specialized prompt editors (image, conversation, text)
- ✦Function-call schema editor with simulated returns
- ✦Multi-model support (OpenAI, Claude, Azure OpenAI)
- ✦Inline prompt variables with side-by-side comparisons
- ✦Version history for every edit
- ✦Project-based access control for teams
- ✦One-click code export for app integration
Use cases
- →Board game club planner
- →Employee Feedback Dashboard
- →Personal photo library
- →Homemade Pizza Cooking Elite Class
- →Indoor Plant Care Dashboard
- →Alps skiing guide
- →Ceramic & Pottery Marketplace
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Find the correct Git command quickly
- →Learn Git syntax by describing a goal
- →Avoid memorizing Git flags
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- →Prototyping and testing prompts before shipping to production
- →Simulating function-calling behavior for AI agents
- →Comparing model outputs across providers
- →Sharing prompt projects with collaborators
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