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).
Most analytics tools ask you to become a data engineer before they give you a single answer. Upload here, configure there, learn the query language, wire the charts, wrangle the filters — and the insight you actually opened the file for is somewhere on the far side of an afternoon of setup.
We wanted the opposite: open a file, say what you want, and watch it happen — and do all of it in the browser, so your data never has to trust a server it can't see.
No comment highlights available yet. Please check back later!
About Data Lens on Product Hunt
“ the in‑browser, AI‑native analytics studio”
Data Lens was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #78 on the daily leaderboard. Drop a file, ask in plain language, and get AI-built dashboards, reports, and SQL — 100% in your browser. Your data never leaves your machine.
Data Lens was featured in User Experience (367k followers), Artificial Intelligence (474.5k followers) and Data & Analytics (5.7k followers) on Product Hunt. Together, these topics include over 145.2k products, making this a competitive space to launch in.
Who hunted Data Lens?
Data Lens was hunted by SAVAŞ HASÇELİK. 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 Data Lens stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
SAVAŞ HASÇELİK