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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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Tiptap Editor 3.0 Beta
✓ verifiedFreemium
Headless, open-source rich-text editor framework with paid add-ons for collaboration, comments, AI editing agents and document conversion.
👁 308K/mo
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Magic Patterns
✓ verifiedFreemium
AI prototyping tool that generates UI matching your design system, letting product teams test features fast.
👁 242K/mo♥ 3.8K
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Codeflying
✓ verifiedFreemium
Vibe-coding builder creating full-stack apps by chatting with AI.
👁 118K/mo
Pricing
No public pricing
No public pricing
Start: $49/mo (up to 500 cloud documents, 2 environments, 2 dev licenses)
Team: $149/mo (up to 5,000 cloud documents, 3 environments, 5 dev licenses)
Business: $999/mo (up to 50,000 cloud documents, 5 environments, 10 dev licenses)
Free trial available
No public pricing
Free: 0$
Basic: 25$
Advanced: 40$
Premium: 200$
Core features
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦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)
- ✦Headless, extensible core editor with 100+ extensions
- ✦Real-time collaborative editing with live cursors
- ✦Inline and document comments
- ✦DOCX, ODT and Markdown import/export
- ✦AI Toolkit for building document-editing AI agents
- ✦Prebuilt UI components and editor templates
- ✦AI UI generation from prompts
- ✦Match existing styling and design systems
- ✦Rapid, high-fidelity prototyping
- ✦Live team editing and sharing
- ✦Enterprise security and compliance
- ✦CodeFlying enables full-stack app creation via chat in minutes
Use cases
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Building a custom rich-text editor for a SaaS product
- →Adding real-time collaboration to a document app
- →Letting an AI agent edit documents with tracked changes
- →Importing or exporting Word or Markdown content in-app
- →Prototype new product features
- →Test designs with customers
- →Build design-system-consistent mockups
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