Spent months building a no-code data prep/ML tool — curious if the core idea actually matters to you

Hey everyone!

A couple of us kept running into the same problem: cleaning and transforming data either meant fighting ad-hoc Python scripts, or losing track of exactly what happened to the data along the way.

So we built something that handles the cleaning/transformation without code, connects directly to Postgres, MySQL, MongoDB, Snowflake, and Databricks, and — the part we actually cared about — logs every single operation and parameter so a run is fully reproducible and auditable later. Pipelines and trained models can be reused on new datasets instead of rebuilt each time.

We're in early access now, and honestly more interested in feedback than signups. If you work with data pipelines day to day: does "every transformation logged and reproducible" solve something real for you, or is that already handled by whatever you're using?

Happy to answer anything in the comments — if anyone wants to actually try it, say so below and I'll follow up there.
Early access - https://datarefine-eta.vercel.app/