Yesterday (September 28th), we launched MCP Connectors by Databox, and you pushed it all the way to #1 Product of the Day. It's our first #1, and we couldn't have done it without you.
Huge thanks to the Databox team and to everyone here who upvoted, commented, asked the hard questions, and connected their first tool. You helped us confirm something we'd suspected for a while: knowing that a number moved isn't enough. People want to know why.
Genie, our AI Analyst, can already tell you what changed in your numbers. It's never been able to tell you why, because the why almost never lives in Databox.
Revenue drops 8%, and the real reason is a stalled deal in HubSpot, a pricing objection buried in a Slack thread, or a support ticket nobody flagged. Right now, finding that out means leaving your dashboard, opening three other tools, and piecing it together yourself. Every time.
Next week, we're launching MCP Connectors. Connect your CRM, Slack, support desk, or any MCP server, and your AI Analyst gets that same context, right inside the conversation. Ask why a number moved, and it points to the actual deal or thread behind it, not just the number.
Last week I asked here where you go to find out why a number moved. The answers were almost all the same: the CRM, Slack, the support desk, Linear, a doc somewhere. Anywhere except the dashboard.
That's what we launched today.
With MCP Connectors, you connect the tools your team already uses, and Genie, our AI Analyst, uses them to answer your questions. Ask why signups dropped 18%, and it checks Linear, finds the signup form that shipped Tuesday and breaks on Safari, and ties it to the drop. You get the number and the reason in one answer.
Connect your AI Analyst to the tools your business runs on. It pulls context from your CRM or support desk, so every answer reflects what's happening in your business, and it can act on what it finds. Choose from 10+ connectors or add any MCP server.
It's the end of the month. Your client needs a performance report, so you open five tools, screenshot the numbers, paste them into Google Slides, and spend two hours making it look like you didn't just paste screenshots into Google Slides.
Quick question for this community before we launch: how do you currently keep tabs on your numbers day to day?
Most people we talked to do one of two things. Either they open the same dashboard every morning out of habit, even when nothing's changed. Or they don't check often enough, and by the time they notice something's off, it's already cost them a few days.
Give your AI Analyst a prompt and a schedule. It analyzes your live data, prepares the report or analysis you asked for, and delivers it by email, Slack, or in-app. The recurring work you do by hand today gets done automatically.
I got curious whether "launch on the weekend" is actually good advice or just a myth people repeat. So I pulled every Product Hunt launch from Jan 1 to Sep 1, 2026, 4,962 launches across 244 days, and looked at how many points it actually took to hit #1, top 3, and top 5 on each day of the week.
Turn any conversation with your AI Analyst into a polished report, slide deck, or interactive document built from your live data. Generate it from a single prompt, then share it via public link or download as a PDF.
