An AI tool turns private data questions into dashboards in the browser
Eatmydata.ai was presented as a tool that turns data questions into SQL and dashboards without sending the data outside the browser. When a user asks a question, AI agents create multiple SQL queries for in-browser SQLite and write dashboard configuration code without seeing the results. The data is sanitized and obfuscated before anything is sent to a remote LLM, and the dashboard runs inside the browser. It was also described as a local-first, browser-only data exploration tool released under the MIT license.
Key points
- The tool says data analysis runs in the browser with no separate backend.
- AI creates SQL queries and dashboard configuration, but does not see the query results.
- It uses SQLite, a local semantic index, and vector search inside the browser.
- The remote LLM is said to receive only sanitized and obfuscated information.
- It targets quick ad hoc data analysis and is released under the MIT license.
Quick term guide
- Configuration
- The settings that tell a program how to run correctly.
- local-first
- An app design where your data is mainly stored and controlled on your own device.
- MIT license
- A permissive license that usually allows broad reuse if basic conditions are kept.
- Solo developer
- An individual who handles all parts of creating a project or product alone.
- developers
- Developers are people who build software, apps, or websites.
- data analysis
- The work of looking at data to find useful patterns or answers.
- semantic index
- A search helper that finds things by meaning, not only by exact words.
- vector search
- A search method that finds text with similar meaning, not only the same words.