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Documentation platform for publishing accurate, AI-ready docs sites, with Git sync and an MCP server for AI tools.
Git-integrated localization tool automating app string, release-note, and store-listing translation for mobile dev teams.
AI tool that converts natural-language questions into SQL queries, sold via a Lemon Squeezy storefront with tiered pricing.
AI coding assistant for editors and IDEs that explains, refactors, documents, and generates code across 56 languages.
No public pricing
Free trial available
No public pricing
Free trial available
Free trial available
- ✦Publish structured documentation sites
- ✦Git sync for docs-as-code workflows
- ✦AI setup agent to build and import docs
- ✦GitBook MCP server for AI access
- ✦Enterprise controls
- ✦Free tier to start
- ✦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)
- ✦Connects to GitHub, GitLab, or Bitbucket for reviewable translation diffs
- ✦Automates translation of app strings, release notes, and store listing copy
- ✦Supports 40+ languages with brand-voice and protected-term controls
- ✦Offers human review queues and shareable no-login review links
- ✦Keeps native Apple and Android localization file formats
- ✦Provides a cost calculator based on strings, languages, and release frequency
- ✦Natural language to SQL query generation
- ✦Standard and Pro subscription tiers
- ✦Checkout and billing via Lemon Squeezy
- ✦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
- →Publish product and API documentation
- →Maintain docs-as-code with Git sync
- →Make docs consumable by AI assistants
- →Import existing docs into a hosted site
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Shipping localized app builds without slowing down release cycles
- →Translating App Store and Google Play release notes each launch
- →Keeping store listing metadata aligned across markets
- →Reviewing AI-generated translations before merging via Git
- →Scaling from one free language to full multi-market localization
- →Generating SQL queries without writing raw syntax
- →Helping non-technical users query databases
- →Speeding up ad hoc data lookups for analysts
- →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