AI agent that builds your data model and answers questions
AI analytics tools hallucinate because they query raw tables without understanding your business logic. Cube fixes this: AI agents build your semantic layer automatically, then use it to answer questions and generate reports with no hallucinations. Connect your data, get accurate results in seconds. Built on Cube's open-source semantic layer (19K+ GitHub stars). Free tier available.
I've been in the data/AI space for a decade and the biggest problem I kept seeing: AI gives wrong answers because it has no understanding of what your data actually means. Cube solved this at the infrastructure level with their semantic layer, and now puts AI agents on top of it. This is the Cursor moment for data analytics.
About Cube on Product Hunt
“AI agent that builds your data model and answers questions”
Cube launched on Product Hunt on February 12th, 2026 and earned 127 upvotes and 7 comments, placing #10 on the daily leaderboard. AI analytics tools hallucinate because they query raw tables without understanding your business logic. Cube fixes this: AI agents build your semantic layer automatically, then use it to answer questions and generate reports with no hallucinations. Connect your data, get accurate results in seconds. Built on Cube's open-source semantic layer (19K+ GitHub stars). Free tier available.
On the analytics side, Cube competes within Analytics, Artificial Intelligence and Data — topics that collectively have 639.9k followers on Product Hunt. The dashboard above tracks how Cube performed against the three products that launched closest to it on the same day.
Who hunted Cube?
Cube was hunted by Michael Rumiantsau. 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 Cube including community comment highlights and product details, visit the product overview.
Michael Rumiantsau
I've been in the data/AI space for a decade and the biggest problem I kept seeing: AI gives wrong answers because it has no understanding of what your data actually means. Cube solved this at the infrastructure level with their semantic layer, and now puts AI agents on top of it. This is the Cursor moment for data analytics.