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devActivity
✓ verifiedFreemium
GitHub-based engineering analytics that tracks contributions, automates performance reviews and adds gamification for dev teams.
52K visits/mo
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Opera One Browser
✓ verifiedFree
Free Chromium-based desktop browser with tab grouping, built-in AI, free VPN, ad blocker and sidebar apps.
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CodeRabbit
✓ verifiedPaid
AI code review tool with huge adoption; ~870K visits and 1.4M saves.
870K visits/mo1.5M saves
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DeepWiki
✓ verifiedFree
Free tool that auto-generates conversational, browsable documentation for any public GitHub repo, from the makers of Devin.
1.2M visits/mo
Pricing
No public pricing
Free: $0/contributor (up to 7 contributors, 90-day retention)
Premium: $10/contributor (unlimited contributors, AI insights)
No public pricing
Free: $0
Lite: $12
Pro: $24
Enterprise: Talk to us
No public pricing
Core features
- ✦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)
- ✦Contribution and work-quality analytics
- ✦Automated, AI-powered performance reviews
- ✦Retrospective insights
- ✦Operational bottleneck alerts
- ✦Gamification with XP, levels and leaderboards
- ✦Uses Git metadata without accessing source code
- ✦Tab Islands for organizing tabs into groups
- ✦Built-in Opera AI assistant with page context
- ✦Free VPN and ad blocker
- ✦Modular sidebar with apps and messengers
- ✦Split-screen browsing and immersive themes
- ✦AI-powered code reviews
- ✦Contextual line-by-line feedback
- ✦Critical change flagging
- ✦Bot interaction
- ✦Direct commit from GitHub
- ✦Integration with Jira & Linear
- ✦Agentic Chat with CodeRabbit
- ✦Product analytics dashboards
- ✦Customizable reports
- ✦Docstrings generation
- ✦AI-generated documentation for GitHub repos
- ✦Conversational Q&A about a codebase
- ✦Browsable index of popular repositories
- ✦Deep code indexing via Devin
Use cases
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Automating developer performance reviews
- →Spotting delivery bottlenecks
- →Generating retrospective insights
- →Motivating teams via gamification
- →Browsing with organized tab groups
- →Using AI assistance while browsing
- →Protecting privacy with a free VPN
- →Multitasking with sidebar apps and split screen
- →Automated code review for pull requests
- →Identifying potential bugs and vulnerabilities
- →Improving code quality and consistency
- →Onboarding new developers with AI-driven guidance
- →Understanding an unfamiliar codebase quickly
- →Onboarding to open-source projects
- →Answering questions about repo internals
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