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Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
GitHub-based engineering analytics that tracks contributions, automates performance reviews and adds gamification for dev teams.
IBM's open, hybrid data lakehouse that connects, governs and optimizes enterprise data to make it AI-ready across clouds and on-premises.
Ad swipe-file tool and Chrome extension to save, organize and analyze ads from Facebook, TikTok, YouTube, Instagram and more.
No public pricing
No public pricing
No public pricing
Free trial available
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦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
- ✦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)
- ✦Open hybrid data lakehouse
- ✦Connects data across clouds and on-prem
- ✦Governance, lineage and access controls
- ✦Business-context enrichment
- ✦AI-ready data for analytics and models
- ✦One-click saving of ads and posts across platforms
- ✦Swipe file with folders, tags and AI search
- ✦Bulk and single ad/data downloads
- ✦Real-time competitor ad tracking
- ✦1M+ browsable community ad library
- ✦Board sharing and team comments
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →Automating developer performance reviews
- →Spotting delivery bottlenecks
- →Generating retrospective insights
- →Motivating teams via gamification
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Unifying fragmented enterprise data
- →Governing data for AI workloads
- →Moving AI pilots to production
- →Powering analytics with trusted data
- →Building creative swipe files
- →Tracking competitor ads
- →Sharing ad inspiration with clients/teams
- →Researching ad trends across platforms