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.
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.
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About Routines by Databox on Product Hunt
“An AI Analyst that runs analysis and reports on a schedule”
Routines by Databox launched on Product Hunt on September 7th, 2026 and earned 0 upvotes and 1 comments, placing #135 on the daily leaderboard. 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.
Routines by Databox was featured in Analytics (173.6k followers), Artificial Intelligence (477.8k followers) and Marketing automation (4.1k followers) on Product Hunt. Together, these topics include over 137.8k products, making this a competitive space to launch in.
Who hunted Routines by Databox?
Routines by Databox was hunted by Rohan Chaubey. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Routines by Databox stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Rohan Chaubey
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.