Yesterday (June 1st), we launched Databox MCP, and we finished #3 Product of the Day!

This wouldn't have happened without the dedicated and highly engaged team in Databox and this community. The upvotes, the comments, the shares - and everyone who followed along and took the time to try it. You helped us validate that people genuinely want to chat with their business data from the AI tools they already use.

https://www.producthunt.com/prod...

It's Monday morning. You need the GA4 numbers for the team standup, so you export a CSV, upload it to your AI tool of choice, and start typing context it doesn't have - what's a good conversion rate for you, which channels actually matter, what "normal" looks like for your traffic.

We just made that whole loop unnecessary.

Skills Marketplace by Databox is a free library of plug-and-play AI analytics skills and workflows. Pick one - GA4 traffic, LinkedIn performance, Google Ads, SEO visibility, and more - connect your data sources once through Databox, and your AI tool pulls live numbers with real context built in. No CSV exports, no re-explaining your metrics every time, no hallucinated benchmarks filling in the gaps.

https://www.producthunt.com/prod...

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.

Hey PH!

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.

Artifacts launched yesterday and the community landed it at #2 Product of the Day. Thank you for that.

We built Artifacts because we kept seeing the same pattern: someone gets a great answer from Genie, then spends the next hour turning that answer into something they can actually hand to a client or a boss. That gap between "I know the answer" and "I have something to share" is the whole reason this exists.

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.

Noticed a small friction with the new AI + inline charts feature.

Steps:

1. Ask the AI to show "MRR last 30 days" with a filter for Plan = Pro

2. The inline chart displays correctly

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.

Hey PH!

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: