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✓ verifiedFreemium
Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
775K visits/mo
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Super Annotate
✓ verifiedPaid
Enterprise data-annotation and evaluation platform pairing a labeling tool with a managed expert annotator workforce.
406K visits/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 visits/mo3.8K saves
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Banani
✓ verifiedFreemium
AI copilot that turns text or references into editable, multi-screen UI prototypes exportable to Figma or code.
419K visits/mo13K saves
Pricing
No public pricing
No public pricing
No public pricing
No public pricing
No public pricing
Free trial available
Core features
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦Customizable multimodal annotation editors for image, video, text and audio
- ✦Support for RLHF preference data, SFT datasets, RAG and agent evaluation workflows
- ✦Managed expert annotator workforce option
- ✦Data curation, exploration and analytics tools
- ✦Team and project management with SSO on higher tiers
- ✦Integrations with AWS, GCP, Databricks, Snowflake and others
- ✦AI UI generation from prompts
- ✦Match existing styling and design systems
- ✦Rapid, high-fidelity prototyping
- ✦Live team editing and sharing
- ✦Enterprise security and compliance
- ✦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
- ✦Text-to-UI prototype generation
- ✦Design from image or Figma references
- ✦Interactive multi-screen prototypes
- ✦Conversational AI editing
- ✦Export to Figma, HTML/CSS, images
- ✦MCP access for coding agents
Use cases
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →Building large-scale labeled datasets to train computer vision or NLP models
- →Running human evaluation and RLHF pipelines for LLM fine-tuning
- →Auditing and scoring AI agent decisions with human review
- →Prototype new product features
- →Test designs with customers
- →Build design-system-consistent mockups
- →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.
- →Rapid UI wireframing
- →Prototyping product screens
- →Recreating a reference UI
- →Handing designs to developers
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