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.
Having every routine run stay searchable later so you're not digging thru chat for last week's check is a really nice touch. Looking forward to what you build next!
This is probably the launch I’m most proud of recently -> our first agentic notification layer that actually feels useful.
I was getting bored of, and mostly ignoring, repetitive emails like “XY has been delivered, click here to see more.”
With Routines, the agentic analysis happens in the background, and the notification gives you just enough context to understand what’s happening and get a sense of how your day or week is going.
And if you want to understand something in more detail, you’re just one click away from a deeper analysis and more insights. GJ team!
I tested routines before and set one up to use a skill and automatically prepare a MTD sales pipeline overview artifact that analyzed open deals and suggested next steps. This is a game changer for how quickly I'm able to define next steps!
Congratulations on the launch. The connection to live data on every single run is what separates this from a saved report that just resends the same thing. What lands in Slack is grounded in the same numbers your dashboards already show. Well done to the team.
The trigger options are great. You can fire a Routine from a webhook. For anything event driven, that removes a whole layer of complexity people usually have to build by themself.
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.
Worth flagging for anyone weighing this against a manual dashboard check: a Routine can be triggered two ways, on a schedule you set or by a webhook the moment something happens elsewhere, like a campaign ending. That event based option is the one most automation tools make you build yourself.
The most common question I get on calls is, 'Okay, once Genie answers, do I have to keep asking it?' The answer is no. Just set it up during the demo, and it keeps checking on its own after the call ends. For prospects comparing a few tools, that's what makes the difference between a chatbot and something that actually works for them every day. 🚀
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.
Routines makes recurring analysis genuinely actionable. Scheduling reports from live data and delivering concise summaries directly to Slack or email could save teams a lot of manual dashboard checking.
This is actually a really smart use of AI. Set it once and let it keep doing the analysis for you. Congrats on the launch, @zigapotocnik
Pairing this with custom webhooks means we can tie our automated reporting directly into our existing workflows. congrats @zigapotocnik
Tried this by turning a chat I'd already had with Genie into a Routine with one click. Same question, now running every morning without me typing it again - which is awesome. That's the part that stands out: you're not rebuilding the instructions; you're just putting the ones you already had on a schedule.
I set up my routine for paid ads instead of building the weekly monitoring report by hand every Monday or manually checking my dashboards every day. Ask once, 'summarize performance every day at 9am and it's already in Slack when I need it. Built from the same connected data as my dashboard, so there's nothing to double check before sending it along. Literally took me a few mins and I just pointed ai analyst to the right dashboard.
One comparison I think is cool here is Databox Routine vs cron job. A cron job just runs a script on a timer, doesn't do any reasoning and just gives you the same type of analysis every time. A Routine decides each time what is worth focusing on and telling you. It's a different analysis every time. Sounds like a small thing, but is why I trust it to run analysis autonomously instead of me doing it manually myself.
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 181 upvotes and 36 comments, placing #4 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 (173.7k followers), Artificial Intelligence (478.3k followers) and Marketing automation (4.1k followers) on Product Hunt. Together, these topics include over 139.5k 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.