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DataForger Studio

Build visual, AI-guided preprocessing pipelines for ML

DataForger Studio is a visual, AI-guided preprocessing workspace for machine-learning datasets. Inspect data quality, build transformation pipelines on a node canvas, compare before-and-after results, and export cleaned datasets with reproducible Python and JSON specifications. It supports tabular, time-series, text, image, audio, and video workflows, with manual, AI-assisted, and autonomous execution modes. Now in public beta; early access is ₹299 one-time.

Top comment

Hey Product Hunt! 👋 I'm Hariesh, the maker behind Shirogani DataForger. I built DataForger to make dataset preparation less repetitive and easier to inspect. Preparing data for machine learning can involve a lot of manual exploration, repeated cleaning code, and checking whether each transformation actually helped. With DataForger, you can inspect dataset quality, build visual preprocessing pipelines, compare before-and-after results, and export cleaned datasets with reproducible pipeline specifications. It's currently in public beta, and I'm offering early access for ₹299 as a one-time founding-member lifetime pass. I'm building this with a simple goal: I want people to actually use the product, tell me what works, point out what doesn't, and help me decide what needs to improve next. I'm not expecting the first version to be perfect. Honest feedback from people working with real datasets would mean a lot. Try DataForger: https://shirogani-dataforge-beta... **What's the most time-consuming part of your data-preprocessing workflow today?** I'd love to hear your thoughts. Thanks for checking it out! 🚀

About DataForger Studio on Product Hunt

“Build visual, AI-guided preprocessing pipelines for ML”

DataForger Studio was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #146 on the daily leaderboard. DataForger Studio is a visual, AI-guided preprocessing workspace for machine-learning datasets. Inspect data quality, build transformation pipelines on a node canvas, compare before-and-after results, and export cleaned datasets with reproducible Python and JSON specifications. It supports tabular, time-series, text, image, audio, and video workflows, with manual, AI-assisted, and autonomous execution modes. Now in public beta; early access is ₹299 one-time.

On the analytics side, DataForger Studio competes within Developer Tools, Artificial Intelligence and Data Science — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how DataForger Studio performed against the three products that launched closest to it on the same day.

Who hunted DataForger Studio?

DataForger Studio was hunted by Hariesh Kai. 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.

For a complete overview of DataForger Studio including community comment highlights and product details, visit the product overview.