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forms app
✓ verifiedPaid
Established online form/survey/quiz builder with automation; very high traffic.
1.1M visits/mo4.2K saves
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Code Autopilot
✓ verifiedFreemium
AI GitHub companion that summarizes PRs, answers questions and proposes fixes inside issues and pull requests.
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Tabnine AI
✓ verifiedPaid
Enterprise-focused AI coding assistant offering code completion, in-IDE chat and agentic workflows with strict code privacy controls.
Pricing
Basic: 15 USD /month
Pro: 25 USD /month
Premium: 59 USD /month
No public pricing
No public pricing
No public pricing
AI Coding Platform: $39 per user per month (annual subscription)
Core features
- ✦Form Builder
- ✦Survey Maker
- ✦Quiz Maker
- ✦Store Builder
- ✦AI Form Generator
- ✦500+ Integrations
- ✦Template Library
- ✦Data Analysis Tools
- ✦Workflow Automation
- ✦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
- ✦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)
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- ✦AI code completion for single and multi-line suggestions
- ✦In-IDE chat supporting the full software development lifecycle
- ✦Agentic workflows and a CLI for terminal-based AI coding
- ✦Enterprise Context Engine for org-specific codebase understanding
- ✦Zero code retention and no training on customer code
- ✦Flexible deployment: SaaS, VPC, on-prem or air-gapped
- ✦Governance controls, SSO, and centralized usage analytics
Use cases
- →Collecting customer feedback
- →Conducting market research
- →Creating online quizzes for education or entertainment
- →Selling products through online forms
- →Automating business processes
- →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
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
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- →Enterprise engineering teams needing private, compliant AI coding tools
- →Developers wanting AI chat and completions inside their existing IDE
- →Organizations with legacy or mixed tech stacks requiring context-aware suggestions
- →Security-sensitive teams requiring air-gapped AI deployment
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