We've spent the last few months building Genie, an AI analyst inside Databox. Tomorrow it goes live on Product Hunt.
The short version: you ask a question about your data in plain language, Genie finds the right metrics, runs the analysis, and returns an answer with a chart in seconds. No SQL, no waiting on someone else.
If you've been following along in this forum, thank you the conversations here genuinely shaped how we think about the product.
We go live at midnight PT. If you want to support the launch, the one thing that matters most: make sure you have a Product Hunt account before midnight. Votes from accounts created on launch day carry much less weight in the algorithm.
We've been building Genie - an AI analyst inside Databox, and one thing kept coming up in user research: people don't lack data. They lack fast answers.
Dashboards exist. Reports get built. But when someone asks "why are signups down this week?" or "are we on pace to hit our revenue target?" - getting a clear answer still takes hours.
We're launching Genie on Product Hunt on March 18th, and we'd love to hear from you before we do:
What's the moment where your current analytics setup lets you down most?
Databox MCP lets you chat with your Databox data directly inside AI tools like Claude, ChatGPT, Cursor, and n8n. Ask questions in plain language, push data from any source, and get instant insights - without dashboards, SQL, or setup. Use Databox as a real-time data engine for AI agents, automations, and workflows. MCP is talking about things related to
The Datablock Library is a repository of the most popular metrics (for 60+ data sources) that are pre-configured so that users can simply drag-and-drop them into a dashboard and the data (and visualization) will populate in seconds.
