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DataKit

The modern data platform that works your way

Privacy
Data & Analytics
Data
Visit WebsiteSee on Product Hunt

Hunted byAminAmin

Your data, your choice. Process locally for complete privacy or leverage cloud when you need to collaborate.

Top comment

We built DataKit because data teams were drowning in tool sprawl—juggling between Excel, SQL clients, Jupyter notebooks, BI tools, and countless browser tabs just to analyze a single dataset. That constant context-switching killed productivity and made data work feel like a chore.

With DataKit, we're bringing the data analysis pipeline into your browser. Unlike traditional tools that require complex setups or force you to upload sensitive data to the cloud, DataKit runs entirely locally. You can query gigabytes of data, create visualizations, and run Python notebooks—all without your data ever leaving your machine.

What's live today:

• Process multi-GB files locally

• Run Python notebooks with pandas, numpy, and ML libraries pre-loaded

• Write SQL queries running entirely in your browser

• Ask questions in plain English and get SQL generated automatically without giving any single row of your data to any model

What's coming next:

• Collaborative workspaces

• Custom data transformation pipelines

• ML model integration

DataKit is all about giving data professionals a modern, privacy-first alternative that eliminates server uploads, reduces tool fatigue, and keeps your sensitive data exactly where it should be—on your machine.

Try it now:

https://datakit.page

We're eager for feedback—let us know what features would make your data workflow even

smoother!

Comment highlights

run sql and do data analysis for files you have locally. it’s such a cool product and i wish it existed when i was a data analyst / data engineer

As a developer, I used Datakit to get specific and anomalies in my back-end logs after a heavy load and stress test. I loved that I didnt have to "upload" my data to any thirdparty to be able to get those insights and could run very specific queries easily on a large amount of data.

This looks really cool! I’m impressed by how you can seamlessly connect to different data sources. How does the data integration work when it comes to handling large volumes of data?

I’ve seen so many posts about how data analysts struggle with pulling together information from various databases. It's a real hassle for many.

If you're looking to connect with data professionals in finance and marketing, those discussions are already happening. People really need a solution like this.

here are some of these discussions: https://quickmarketfit.com/discu...

I love the simplicity of "your data, your choice." It's rare to see tools that let you decide instead of locking you in. That makes the platform flexible and trustworthy at the same time.

This approach makes data feel personal again. Most platforms push everyone to the cloud but giving the option to keep things local shows respect for users and their unique working styles.

Your messaging really resonates with me. Too often tools dictate how we work, but you’re flipping it, letting people choose. That kind of freedom is refreshing and builds trust right from the start.

This approach makes so much sense. Not everyone wants their data automatically pushed to the cloud, and sometimes privacy matters most. I appreciate the balance you’ve created between independence and collaboration here.

Second launch already, and the product direction looks solid. Excited to see how Datakit evolves as more people put it to use.

Superb! I've been following the progress since the early days, and I love how thoughtfully this product was built from the ground up. It's powerful, it's beautiful, and it gives a sleek solution to a big challenge — privacy! Keep it up 🔥

This looks fantastic—love the privacy-first approach and the fact that everything runs locally. The all-in-one setup with SQL, notebooks, and visualization in the browser could really cut down on context switching. Excited to see how the collaborative features and custom pipelines evolve. 🚀

Most platforms force you into one setup, so the “your data, your way” approach stands out. Curious to see how smooth the switch between local and cloud actually feels.

The balance between privacy and collaboration really stands out. Not every tool allows local processing with cloud convenience. It's refreshing to see a solution that actually adapts to how teams really work.

I like how this platform respects both privacy and flexibility. Having the choice to process locally or collaborate in the cloud feels like real control over data, not just a forced one-way approach.

Congrats on launching, wishing you all the best. If you have a chance, I’d love for you to check out my product as well. Appreciate any feedback!

About DataKit on Product Hunt

The modern data platform that works your way

DataKit launched on Product Hunt on September 25th, 2025 and earned 106 upvotes and 14 comments, placing #19 on the daily leaderboard. Your data, your choice. Process locally for complete privacy or leverage cloud when you need to collaborate.

DataKit was featured in Privacy (11k followers), Data & Analytics (5.6k followers) and Data (2.3k followers) on Product Hunt. Together, these topics include over 10.3k products, making this a competitive space to launch in.

Who hunted DataKit?

DataKit was hunted by Amin. 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.

Reviews

DataKit has received 1 review on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.

Want to see how DataKit stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.