This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
DataHub
AI data pipelines from plain English — no code, no SQL
Upload your messy files, describe what you want in plain English, and DataHub cleans, transforms and visualises your data automatically. Every transformation is recorded as a replayable pipeline. How it works: → Upload CSV, Excel, JSON or Parquet files → Describe your transformation in plain English → Agent shows you the plan before touching your data → You approve, it executes → Pipeline is saved and replayable with new data No code. No SQL. No expensive license.
“AI data pipelines from plain English — no code, no SQL”
DataHub was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #415 on the daily leaderboard. Upload your messy files, describe what you want in plain English, and DataHub cleans, transforms and visualises your data automatically. Every transformation is recorded as a replayable pipeline. How it works: → Upload CSV, Excel, JSON or Parquet files → Describe your transformation in plain English → Agent shows you the plan before touching your data → You approve, it executes → Pipeline is saved and replayable with new data No code. No SQL. No expensive license.
Who hunted DataHub?
DataHub was hunted by Mitul Srivastava. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how DataHub stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Mitul Srivastava