Most analytics tools give you a dashboard. You open it, look at it, and go back to your spreadsheet to answer the actual question.
We just changed that.
Databox MCP connects your business data to the AI tools you already use - Claude, ChatGPT, Cursor, n8n. Instead of building dashboards to get answers, you just ask. What happened to your CAC last week? Which campaign drove the most revenue? Your AI does the math using your real metrics, definitions, and historical context - and gives you an answer you can act on.
We just launched Custom Integrations - and it's live on the leaderboard today. https://www.producthunt.com/prod...
The problem it solves: your data is out there, but it's not in Databox. You submit an integration request, it goes into the backlog, and you wait. Sometimes for months. Sometimes it never comes.
Custom Integrations flips that. Connect any JSON API yourself - OAuth2, pagination, dynamic date handling all covered. Turn the response into a structured dataset and start analyzing it with Genie or any MCP-compatible AI tool. No code, no engineering ticket, no waiting.
Not analyzing it. Not acting on it. Just pulling the numbers together so you can have something to look at.
Open GA4. Screenshot the traffic. Switch to Google Ads. Check the spend. Pull last week from LinkedIn. Export a CSV. Paste it into Claude. Wait for the analysis. Realize the date range is wrong. Export again.
By the time you're done, you've spent an hour doing something that should have been waiting in your inbox.
The frustrating part: the data exists. It's just never in the right place at the right time. So every report starts with the same manual assembly ritual - and every AI analysis starts with an upload instead of an answer.
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 heard this from a lot of Databox users over the years. There's a tool you rely on, a data source that matters to your reporting, and it's just not in our integration library. You submit a request, we add it to the backlog, and then... you wait. Sometimes for months. Sometimes it never comes.
That's been one of the most consistent frustrations we've heard - and honestly, one we've felt ourselves. Our native library covers 130+ integrations, but the long tail of tools people actually use is endless. No matter how fast we build, we can't keep up with every API out there.
We just launched Genie - Databox's AI analyst, and it's live on the leaderboard today.
One thing we kept seeing in user research: teams have dashboards, but still can't get fast answers. "Why are leads down this week?" still takes hours of manual digging. Genie fixes that - you ask in plain language, it finds the right metrics, runs the analysis, and returns an answer with a chart. No SQL, no waiting.
A few things I'm curious to hear from this community:
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?
