The Basedash semantic layer lets teams create reusable SQL metrics and models that AI can reference across chat, charts, dashboards, insights, and automations.
Hey everyone, Max here from Basedash.
Today we're launching the Basedash semantic layer: reusable SQL definitions for AI analytics in Basedash.
These definitions are reusable SQL queries attached to a data source. You can define "monthly recurring revenue", "activation rate", or "qualified pipeline" once, give it a reference name and description, and Basedash can use that exact SQL anywhere.
This matters because AI is great at exploring data, but teams still need deterministic calculations for the metrics they run the business on. With definitions, the AI can build charts, answer chat questions, generate insights, and run automations while reusing the same approved SQL every time.
We've been using this internally for metrics that show up across dashboards and reporting workflows. It removes the copy-paste SQL problem and makes the AI's work easier to audit.
The semantic layer is available in Basedash today. PH community gets an extra week on the trial this week. Happy to answer anything.
About Basedash Semantic Layer on Product Hunt
“Define metrics once. Use them everywhere.”
Basedash Semantic Layer launched on Product Hunt on June 4th, 2026 and earned 105 upvotes and 11 comments, placing #15 on the daily leaderboard. The Basedash semantic layer lets teams create reusable SQL metrics and models that AI can reference across chat, charts, dashboards, insights, and automations.
On the analytics side, Basedash Semantic Layer competes within Artificial Intelligence, Data & Analytics and Business Intelligence — topics that collectively have 479.4k followers on Product Hunt. The dashboard above tracks how Basedash Semantic Layer performed against the three products that launched closest to it on the same day.
Who hunted Basedash Semantic Layer?
Basedash Semantic Layer was hunted by Max Musing. 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
Basedash Semantic Layer has received 9 reviews on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.
For a complete overview of Basedash Semantic Layer including community comment highlights and product details, visit the product overview.
Max Musing