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Eatmydata.ai

Local-First Question-to-SQL-to-Dashboard AI

Details

External ID
48472867
Source
HN
Company
—
Product
Eatmydata.ai
Website domain
eatmydata.ai
Launched
June 10, 2026
Cohort
—
Upvotes
8
Upvotes percentile
0.4952185792349727
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

Yet another "talk to your data and build a dashboard" app, where data does not leave your browser.You ask a question, agents produce multiple SQL queries to in-browser sqlite, never seeing results, and write dashboard configuration code. The data you analyze will be indexed with a local semantic index (embeddings generation + sqlite vector search fully local).Next, sandboxed QuickJS runs this code to produce rich dashboards directly in your browser, no backend attached. This is a fully frontend app (except OpenRouter or other remote LLM).All data sent to LLM's is heavily sanitized and obfuscated at several points. The remote LLM never sees the contents of data it analyzes. Why does it exist - I started this is a testbed for my local-first AI projects, agentic workflows and contextual data analysis experiments.It grew into a tool I use daily for quick and dirty data analytics when I don't want to waste time debugging SQL or building charts for simple data questions, when I literally need an answer under 10s.I also don't like the idea of sharing random data in Claude/ChatGPT chat, neither uploading any work-related datasets to them. Plus they both often choke on tiny 100k rows data.Fully open-sourced under MIT https://github.com/eatmydata-org/eatmydata, run it yourself it's a static web app.What's in the box:- SQLite OPFS adapted from wa-sqlite, data queried only locally;- TurboQuant semantic indexing extension for sqlite (MIT-licensed);- Quantized PII detection and embedding generation models straight in browser;- NER and embeddings inference engines in zero-dependency C and wasm-simd128 optimizations (1.7x faster and 38x lighter binary compare to onnxruntime);- QuickJS sandbox for AI-generated code;- Orchestrator <-> SQL Planner <-> Coder agent loop that build SQL and dashboards from user query;- Apache ECharts for dashboards;- Fork of xslx Community edition to support styles (missing in OSS version upstream).Hope it'll be useful to anyone who is interested in local-first stuff.

Enrichment

Theme
database infrastructure and developer tools
Vertical
Horizontal
Function
Analytics & BI
Audience
B2B
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
question-to-sql-to-dashboard for local data
Manually corrected
False

Could you build this?

Yes In-browser SQLite (via SQLite WASM / sql.js), client-side semantic search (transformers.js), and LLM text-to-SQL dashboard generation are all standard web patterns easily assembled via vibe coding.

Discussion

2 comments analyzed.

Concerns raised: Bar chart generation fails for simple queries like Dallas customer count, AI agent doesn't consistently call required sandbox/markdown actions, Model selection and default configuration unclear

Feature requests: Make demo file selection window scrollable to fit smaller screens, Set default model and token quota by default, Add more example queries

Competitors

Other products that read as similar to this one — 113 launches clear the similarity bar, closest 8 shown.

Attention rank: #59 of 114 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 224 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a analytics & bi tool for Legal yet.