How many steps does it take to answer a simple data question?

We've been thinking a lot about this moment. A stakeholder asks "how did our paid campaigns do last week?" or "are we on track for the month?" - and even with dashboards already built, getting a clean answer still takes more steps than it should.

You open the right tool. Filter the right date range. Cross-reference another source. Paste it into a Slack message. Sometimes you just end up saying "let me get back to you on that."

The data exists. The dashboards exist. But the path from question to answer still has too much friction in it.

That's the problem we set out to solve with Databox MCP - launching on Product Hunt May 28. Instead of navigating dashboards, you ask the question directly in whatever AI tool you already use - Claude, ChatGPT, n8n, Cursor - and get an answer pulled from your live data.

We'd love to hear from you before we launch:

• What does that moment actually look like for you?

• Is it the scrambling to find the right view?

• The back-and-forth with someone who owns the dashboard?

• Or something else entirely?