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AIdatalOOks
For all your Bussiness Analytics
Web site created using What it does: → Connects to your data and auto-discovers how your tables relate → Verifies every join against the real records — if it doesn't hold up, it's never used → Builds correct reports across finance, HR, supply chain and sales — even across separate systems, with no silent double-counting No semantic layer to hand-build. No months-long BI project. No numbers you'd be afraid to put in front of a board.create-react-app
Top comment
A dashboard once told me a single customer bought ₹33 trillion of product. https://lnkd.in/d6Cg_TTm The real number was ₹63 million. That's a 500,000× error — from one wrong join. And the scary part: most "AI analytics" tools would have shown you that number without blinking, wrapped in a beautiful chart. Because every tool can draw a chart. Almost none can prove the number is right. Enterprises don't have a charting problem. They have a trust problem — three dashboards, three different "totals," and no one can say which is correct. So I built AIdatalooks around one rule: a wrong join = a wrong report = useless. What it does: → Connects to your data and auto-discovers how your tables relate → Verifies every join against the real records — if it doesn't hold up, it's never used → Builds correct reports across finance, HR, supply chain and sales — even across separate systems, with no silent double-counting → Re-checks every report against a direct database query: report = database, or it flags the mismatch No semantic layer to hand-build. No months-long BI project. No numbers you'd be afraid to put in front of a board. BI tools give you charts. AIdatalooks gives you numbers you can defend. It's live and free — data already loaded, just build a report: 👉 https://lnkd.in/d6Cg_TTm (Want to see it check its own math? The Administration tab re-runs every report against the database and shows report = database, live.) If your team has ever argued over whose dashboard has the "real" number — that's exactly what I'm solving. Try it, or DM me and I'll run a slice of your data through it myself.
About AIdatalOOks on Product Hunt
“For all your Bussiness Analytics”
AIdatalOOks was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #129 on the daily leaderboard. Web site created using What it does: → Connects to your data and auto-discovers how your tables relate → Verifies every join against the real records — if it doesn't hold up, it's never used → Builds correct reports across finance, HR, supply chain and sales — even across separate systems, with no silent double-counting No semantic layer to hand-build. No months-long BI project. No numbers you'd be afraid to put in front of a board.create-react-app
On the analytics side, AIdatalOOks competes within Analytics, SaaS and Data & Analytics — topics that collectively have 221.4k followers on Product Hunt. The dashboard above tracks how AIdatalOOks performed against the three products that launched closest to it on the same day.
Who hunted AIdatalOOks?
AIdatalOOks was hunted by kumar. 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 AIdatalOOks including community comment highlights and product details, visit the product overview.