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GitHub-based engineering analytics that tracks contributions, automates performance reviews and adds gamification for dev teams.
AI tool that converts natural-language questions into SQL queries, sold via a Lemon Squeezy storefront with tiered pricing.
Turns Git commits and PRs into AI-summarized daily or weekly reports delivered to Slack or email, no source access.
AI image-based font finder that matches uploaded text images against a huge commercial and free font database.
Free trial available
No public pricing
No public pricing
Free trial available
No public pricing
- ✦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
- ✦Natural language to SQL query generation
- ✦Standard and Pro subscription tiers
- ✦Checkout and billing via Lemon Squeezy
- ✦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)
- ✦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
- ✦AI-driven font matching from uploaded images
- ✦Database of over 1.2 million free and commercial fonts
- ✦Image editor to crop, adjust brightness, and split letters
- ✦Similar font suggestions with purchase or download links
- ✦Font pairing generator and webfont generator tools
- ✦PDF font finder
- ✦Browser extension for identifying fonts on webpages
- →Automating developer performance reviews
- →Spotting delivery bottlenecks
- →Generating retrospective insights
- →Motivating teams via gamification
- →Generating SQL queries without writing raw syntax
- →Helping non-technical users query databases
- →Speeding up ad hoc data lookups for analysts
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Keep stakeholders updated on what shipped
- →Replace manual status updates and standups
- →Give teams visibility into Git activity
- →Identifying a font seen in a design, ad, or webpage screenshot
- →Finding free or commercial alternatives to a specific font
- →Separating and analyzing cursive or script fonts for identification
- →Sourcing font pairings for a design project