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AI tool that converts natural-language questions into SQL queries, sold via a Lemon Squeezy storefront with tiered pricing.
Free AI helper that turns a plain-English description of a task into the matching Git command to copy and run.
AI coding assistant for editors and IDEs that explains, refactors, documents, and generates code across 56 languages.
GitHub-based engineering analytics that tracks contributions, automates performance reviews and adds gamification for dev teams.
AI-native spreadsheet connecting live databases and files, letting teams query and chart data with AI, Python, or SQL.
Free trial available
No public pricing
Free trial available
- ✦Natural language to SQL query generation
- ✦Standard and Pro subscription tiers
- ✦Checkout and billing via Lemon Squeezy
- ✦Natural-language to Git command suggestions
- ✦AI-driven command matching
- ✦Copy-ready command output
- ✦Git guides and reference
- ✦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
- ✦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
- ✦Connects to Postgres, MySQL, Snowflake, BigQuery and other live databases
- ✦Imports CSV, Excel and PDF files alongside database connections
- ✦AI agent writes formulas, code and charts from plain-English prompts
- ✦Supports Python, SQL, formulas and JavaScript in the same sheet
- ✦Built-in connectors for QuickBooks, Google Analytics, Mixpanel and Plaid
- ✦MCP support so external AI agents can read/write spreadsheet cells
- ✦REST API for triggering AI runs and manipulating cells programmatically
- ✦Scheduled tasks and PDF data extraction
- →Generating SQL queries without writing raw syntax
- →Helping non-technical users query databases
- →Speeding up ad hoc data lookups for analysts
- →Find the correct Git command quickly
- →Learn Git syntax by describing a goal
- →Avoid memorizing Git flags
- →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
- →Automating developer performance reviews
- →Spotting delivery bottlenecks
- →Generating retrospective insights
- →Motivating teams via gamification
- →Finance teams building recurring, auditable financial reports
- →Analysts combining multiple data sources into one live dashboard
- →Traders and investors tracking market and portfolio data
- →Product and sales teams generating forecasts and charts without formulas
- →Teams wanting an AI agent to verify and edit spreadsheet work directly