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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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Yay! Forms
✓ verifiedPaid
AI form builder for surveys and quizzes with automated insights; high traffic.
👁 102K/mo♥ 956
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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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Code Autopilot
✓ verifiedFreemium
AI GitHub companion that summarizes PRs, answers questions and proposes fixes inside issues and pull requests.
Pricing
Starter: $9/month billed yearly or $19/month
Plus: $29/month billed yearly or $39/month
Professional: $59/month billed yearly or $79/month
No public pricing
No public pricing
No public pricing
Core features
- ✦AI-powered insights
- ✦Form creation in 30 seconds
- ✦Customizable branding
- ✦Logic branches
- ✦Integration with various tools
- ✦Drop-off rate tracking
- ✦Emotion and sentiment analysis
- ✦Keyword extraction and text classification
- ✦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)
- ✦Chat inside GitHub issues and PRs
- ✦Task-to-implementation plans with code
- ✦Automatic bug-fix suggestions
- ✦Pull-request summaries for faster review
- ✦Full-codebase context
- ✦GitHub-native integration
Use cases
- →Lead capture for marketing teams
- →User feedback collection for product teams
- →Customer retention for customer success teams
- →HR process organization for HR teams
- →Research data analysis for research teams
- →Branding customization for agencies
- →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
- →Speeding up pull-request reviews
- →Implementing features from task descriptions
- →Debugging with AI-proposed solutions
- →Answering questions about a repo
- →Boosting a solo developer's output
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