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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
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✓ verifiedFreemium
Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
👁 775K/mo
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RapidNative
✓ verifiedFreemium
AI app builder that turns prompts, sketches, or screenshots into real React Native and Expo mobile apps ready for app store publishing.
👁 104K/mo♥ 11K
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Warp AI
✓ verifiedFreemium
Agentic terminal and cloud agent platform (Warp Terminal, Warp Agent, Oz) for developers orchestrating Claude Code, Codex, and other agents.
👁 1.7M/mo♥ 22K
Pricing
No public pricing
No public pricing
Starter: $20/month (50 monthly AI credits)
Pro: $49/month (150 monthly AI credits)
Max: $99/month (330 monthly AI credits)
Ultra: $199/month (725 monthly AI credits)
Free trial available
Free: $0/month (core terminal, limited cloud agent access)
Build: from $20/month pay-as-you-go (1,500 credits/month)
Max: from $200/month pay-as-you-go (12x Build credits)
Business: from $50/user/month (up to 25 seats)
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)
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦Prompt-to-app generation in React Native and Expo
- ✦PRD-to-app and sketch-to-prototype conversion
- ✦Screenshot-to-code image import
- ✦Full-stack generation with backend, auth, and database
- ✦Direct publishing to App Store and Google Play
- ✦Exportable, ownable source code
- ✦Modern terminal rebuilt for agentic coding workflows
- ✦Warp Agent with multi-agent orchestration and model routing
- ✦Oz platform for launching agents into the cloud via SDK, CLI, or terminal
- ✦Codebase indexing and granular permission controls
- ✦Team-wide usage visibility and spend/credit caps
- ✦Open-source terminal core
Use cases
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →A founder testing an app idea with real users before fundraising
- →A product manager showing a working prototype instead of slides
- →A designer turning wireframes into an interactive native app
- →A developer skipping boilerplate setup for a new mobile project
- →Developers who want an AI-assisted terminal for daily coding
- →Teams orchestrating multiple coding agents (Claude Code, Codex) together
- →Engineering orgs needing governance over agent-driven development
- →Companies moving agent workflows from local machines to the cloud
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