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AI coding assistant for editors and IDEs that explains, refactors, documents, and generates code across 56 languages.
Turns Git commits and PRs into AI-summarized daily or weekly reports delivered to Slack or email, no source access.
Antidetect browser that isolates a unique fingerprint per profile, aimed at safe multi-accounting for marketing, ecommerce, and trading.
Full-stack platform for web scraping, data extraction, and automation; category leader.
No public pricing
Free trial available
No public pricing
Free trial available
Free trial available
Free trial available
- ✦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)
- ✦Bug detection and fix suggestions
- ✦Code and CSS framework conversion
- ✦Unit test and documentation generation
- ✦Regex, SQL query, and CI/CD pipeline generation
- ✦Code explanation and style checking
- ✦Editor extensions for VS Code, Sublime, JetBrains, Visual Studio
- ✦AI-summarized commit and PR reports
- ✦Daily and weekly scheduled digests
- ✦Slack and email delivery
- ✦One-click OAuth or webhook setup
- ✦GitHub, GitLab and Bitbucket support
- ✦Templates for standups and reports
- ✦Unique, isolated browser fingerprint per profile
- ✦Integrated high-anonymity proxy management (RoxyIP)
- ✦Window sync for simultaneous multi-account actions
- ✦AI agent that automates tasks across profiles via commands
- ✦Team workspaces with permission controls
- ✦API access for browser automation
- ✦Web scraping
- ✦Data extraction
- ✦Browser automation
- ✦AI agents
- ✦Anti-blocking
- ✦Proxy rotation
- ✦Open-source tools (Crawlee)
- ✦Ready-made tools and code templates
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Generating unit tests for existing functions
- →Refactoring legacy code to modern practices
- →Producing inline documentation automatically
- →Learning new programming languages or concepts via AI explanations
- →Keep stakeholders updated on what shipped
- →Replace manual status updates and standups
- →Give teams visibility into Git activity
- →Running multiple social media or seller accounts without bans
- →Managing parallel ad, affiliate, or SEO campaigns per profile
- →Web scraping while avoiding IP-based blocking
- →Trading across multiple crypto exchange accounts safely
- →Data for generative AI
- →Lead generation
- →Market research
- →Sentiment analysis