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.
Custom Integrations lets you connect virtually any API to Databox without writing code. Turn API responses into structured datasets and analyze them alongside your other sources to get a complete view of performance.
Genie is an AI analyst built into Databox. Ask questions about your business performance and get instant insights from your data, so your team can quickly understand what’s driving results and take action.
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'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 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?
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
