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.
Hey PH! Artyom here, co-founder of Cube. We started as an open-source semantic layer in 2018 (19K+ GitHub stars). We realized this foundation was exactly what AI needed to stop hallucinating — so we built agents on top of it. Already running in 200+ companies. Would love your feedback!
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.
Cube was featured in Analytics (171.4k followers), Artificial Intelligence (466.2k followers) and Data (2.3k followers) on Product Hunt. Together, these topics include over 101.9k products, making this a competitive space to launch in.
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.
Want to see how Cube stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
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.