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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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BasicAI Cloud
✓ verifiedFreemium
Data-annotation platform with AI-assisted labeling tools and team workflows for building ML training datasets.
22K visits/mo
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Angular.dev
✓ verifiedFree
Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
1.1M visits/mo
Pricing
No public pricing
No public pricing
No public pricing
No public pricing
Starter Plan: $ 59 USD per month
Pro Plan: $ 99 USD per month
Enterprice Plan: $ 199 USD per month
Starter Plan: $ 39 USD per month
Pro Plan: $ 79 USD per month
Enterprice Plan: $ 149 USD per month
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)
- ✦AI-assisted data annotation tools
- ✦Training-data platform (BasicAI Cloud)
- ✦Team and project management
- ✦Annotation services
- ✦Signals-based fine-grained reactivity
- ✦Built-in control flow and deferrable views
- ✦Server-side rendering and hydration
- ✦First-party routing, forms and dependency injection
- ✦AI-forward tooling and MCP resources
- ✦In-browser tutorials and playground
- ✦Figma to code conversion
- ✦AI-powered automation
- ✦Human-in-the-loop validation
- ✦Support for Angular, Vue, React, and React Native
- ✦API integration
- ✦Component libraries
- ✦Code ownership
- ✦GIT synchronization
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
- →Labeling images and data for ML models
- →Managing annotation teams and projects
- →Producing training datasets at scale
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Building enterprise applications rapidly from design to development.
- →Streamlining SaaS product development by translating designs into functional code.
- →Creating responsive digital experiences with adaptive interfaces.
- →Accelerating the creation of productivity apps from user-friendly designs.
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