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).
DataCleanist checks your dataset with real code before any AI touches it. Upload a CSV or Excel file and get an interactive, column-by-column report: missing values, outliers, duplicates, correlations, distributions, VIF, feature importance, statistical tests, categorical analysis, MCAR/MAR and target leakage. Then ask questions in plain English and let it clean the file. The AI answers from that report, so it cannot invent a number. Your data is never used to train models.
I built DataCleanist because I got tired of doing the same data-cleaning setup every time a new dataset landed: checking types, hunting for missing values, spotting outliers, removing duplicates, and figuring out whether a column was quietly leaking the target.
DataCleanist does that first pass automatically for CSV and Excel files, then shows you exactly what it found and why each issue matters. You can also chat with the report, generate the Python cleaning code, and keep every cleaned version without touching the original.
I’d genuinely love to know what you’d want it to catch next.
If there’s a data-quality problem you regularly discover only after training a model or starting an analysis, tell me about it.
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About DataCleanist on Product Hunt
“80% of ML is data cleaning. We do that part.”
DataCleanist was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #155 on the daily leaderboard. DataCleanist checks your dataset with real code before any AI touches it. Upload a CSV or Excel file and get an interactive, column-by-column report: missing values, outliers, duplicates, correlations, distributions, VIF, feature importance, statistical tests, categorical analysis, MCAR/MAR and target leakage. Then ask questions in plain English and let it clean the file. The AI answers from that report, so it cannot invent a number. Your data is never used to train models.
DataCleanist was featured in Developer Tools (520.4k followers), Artificial Intelligence (479.9k followers) and Data Visualization (3.7k followers) on Product Hunt. Together, these topics include over 212.2k products, making this a competitive space to launch in.
Who hunted DataCleanist?
DataCleanist was hunted by Mohd Anas Hussain. 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.
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Mohd Anas Hussain
Hey Product Hunt, Anas here.
I built DataCleanist because I got tired of doing the same data-cleaning setup every time a new dataset landed: checking types, hunting for missing values, spotting outliers, removing duplicates, and figuring out whether a column was quietly leaking the target.
DataCleanist does that first pass automatically for CSV and Excel files, then shows you exactly what it found and why each issue matters. You can also chat with the report, generate the Python cleaning code, and keep every cleaned version without touching the original.
I’d genuinely love to know what you’d want it to catch next.
If there’s a data-quality problem you regularly discover only after training a model or starting an analysis, tell me about it.