Matih
Plain-English questions, Trusted insights from your data
104 followers
Plain-English questions, Trusted insights from your data
104 followers
Text-to-SQL tools are schema-blind. they guess the joins and hand you a number you can't check. Matih builds a context graph of your data:-the entities, how tables relate, what each metric means, then reasons over that ontology to answer. Ask in plain English. Matih writes the SQL and auto-routes it to the right engine- DuckDB for a spreadsheet, Spark or Trino for billions of rows- from an Excel file to a full warehouse. You get the answer next to the SQL. Trusted insights, no black box.
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Excited to finally share Matih with the Product Hunt community! 🚀
We started building Matih because every data team we spoke to had the same problem: business users wanted instant answers, while data teams were buried under repetitive ad-hoc requests. Existing AI tools could generate SQL, but not trust.
We'd love your feedback—whether it's on the product, the UX, or the idea itself. What would convince you to trust AI with your business data?
Finally tried this on our messy Snowflake schema and the context graph piece is genuinely useful, not just buzz. Loved that it shows the SQL right next to the answer so I can actually verify the join logic instead of just trusting a number.
sounds very interesting, ai into academic! congrats on the launch!
@istiakahmad Thanks so much! Really appreciate the support! 🙌
@istiakahmad Thank you!!