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Databox is an AI-powered business intelligence and analytics platform for teams that need clear, trusted answers fast. It offers the best of BI, without the complicated setup, steep price, or long learning curve. It provides a blend of powerful, but easy-to-use, features, from preparing datasets and creating the custom metrics your company needs to track, to building beautiful dashboards, customizing your reporting, and receiving AI-powered insights.
This is the 9th launch from Databox. View more
Routines by Databox
Launching today
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.
Free Options
Launch Team / Built With
HubSpot
Power BI
Databox
Hey Product Hunt! 👋 I'm Pete from Databox. Excited to finally share Routines with you.
This is the next capability launch in our agentic analytics platform. The first one, our AI Analyst Genie, made analysis instant. Ask a question about your live data, and you get a finished answer in minutes. The second, Artifacts, turned those answers into polished, shareable reports. But both still begin the same way, with a person opening a chat and asking.
So we built Routines.
Routines let you put recurring analysis on a schedule. Give our AI Analyst a prompt and a cadence, and it runs the analysis and delivers the finished report on its own, every time it's due:
Your recurring analysis runs itself: every run happens on schedule, without anyone remembering to start it. (It can also be triggered by a webhook from another system.)
You can act from the notification alone: each run arrives by email, Slack, or in-app with a summary that tells you how things stand.
Every answer stays available: runs are saved in the routine, so you can revisit any report or continue the conversation with a follow-up question
Your own analysis becomes repeatable: save the way you analyze something as a Skill once, then put it on a schedule
All of that is what makes Routines a critical part of our agentic analytics platform.
Without agentic analytics, analysis must be done by a person. Routines delivers it to people instead.
In the old way, someone pulls the numbers, figures out what moved and why, writes it up, and sends it around. The team talks about it a few days later. The next round happens when that skilled person has time for it again, usually a week or a month out. So analysis happens as often as one person's calendar allows, only the people on that email ever see it, and anything that goes wrong in between doesn't get caught.
With analysis done on a schedule using Routines, a Tuesday problem gets flagged on Tuesday and the plan changes that week instead of next month.
And anyone can be on the delivery list, including people one function over, so the teams that support each other work from the same explanation at the same time. For example, with the right Routine setup, marketing can see that sales is converting leads at a lower rate than last month and can dig into lead quality or push volume up before anyone raises it in a meeting.
We've been testing it internally for weeks. Our team members are more informed, and we spend meetings deciding what to do instead of reviewing what happened.
Routines is live today. Try it out on your account, or start a trial: https://help.databox.com/start-a-trial
If there's a report you'd like to fully automate, tell us about it below. We'll set it up for the first five people who ask, no charge for our time.
@pc4media Turning a useful analysis into a recurring routine makes a lot of sense. It removes the need to remember the same checks every week.
Pairing this with custom webhooks means we can tie our automated reporting directly into our existing workflows. congrats @zigapotocnik
Databox
@priya_kushwaha1 Thanks Priya! That's exactly why we built the webhook trigger, so Routines isn't stuck on a schedule. Any app that can fire a signal (Zapier, Make, your own event) can kick off a run and drop the result straight into Slack or email. Curious what you're planning to wire it into, always good to hear real setups.
Databox
Hey hunters!
Every company has analysis that someone redoes by hand every week. The Monday pipeline check. The weekly channel report. The monthly board deck. It isn't hard work; it's just work nobody has time for, so it's the first thing that slips when the week gets busy.
Routines fix that. You give your AI Analyst a prompt and a schedule. It runs against live data, prepares the analysis or report you asked for, and delivers it to Slack, email, or in-app. Not a dashboard refresh. An actual written answer, on time, every time.
This is the fourth piece of the same puzzle in the last few months. MCP brought your data into the LLM tools you already work in. Skills gave the analyst repeatable expertise. Artifacts made the output build in seconds and shareable. Routines make it run without you having to ask.
That's the bet we're making: analytics stops being a tool you operate and becomes an agent working in the background, on top of a semantic data layer that actually understands your business.
Try it out; it's free for 14 days - https://databox.com
Would love your feedback.
@zigapotocnik The set it and forget it part is cool, everyone has a dashboard, but someone still has to remember to check and figure out what changed... How do you decide which insight are actually worth ?
Databox
@harini_mukesh Good question. Right now every run still reports back, we don't have anomaly-only notifications yet. But the answer itself does the filtering: instead of a raw number dump, Genie writes it as "here's what changed and whether it matters," so a quiet day just tells you "nothing to worry about" and you don't have to open a dashboard to check. Muting a routine unless something's off is exactly the kind of thing we're looking at next, thanks for flagging it.
Big congrats to the team 💪
The biggest pain killer for me was that every run pulls fresh from your live connected data and not a cached copy of the last answer. That way i can truly trust the "Nothing changed today" result and not just assume that it is a static placeholder.
Databox
@rene_kolednik Thanks Rene! That live-pull piece was a deliberate call, a "nothing changed today" answer only means something if you know it's not a cached copy. Glad that's landing, appreciate the congrats.
Routines wont miss an opportunity to analyze my data and figure out if any great opportunities are up for the taking, even if it's a sunny Sunday afternoon, and I didn't have (or take the) time to run the analysis manually ;)
Just to be honest: I was never interested in doing analysis at all, on any day. I just wanted to know when an action item can be executed.
Thanks Genie. Thanks team.
Skills + Routines are my new best friends. As a product person, I have to do a lot of analysis and a Skill helps me define how I want the analysis done and with a Routine I can make it into a daily workflow in a single step. No more clicking through another round of setup.
Databox
@mateja_verlic_bruncic Love hearing that combo click for you. A Skill defines how you want the analysis done, a Routine makes it run without you lifting a finger again, that's exactly the loop we built. What's the first thing you turned into a Skill?