Ask your AI Analyst and get back a ready-to-share report
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.
I’m Pete from Databox. Today we’re shipping Artifacts inside Genie, our AI Analyst. An artifact is a report Genie generates from your connected data. It combines the charts you’d normally build by hand with the analysis of what actually drove the numbers, in one shareable document.
Reporting used to work like this... You’d build a bunch of dashboards. You’d compare performance to the previous period and to goal, try to understand how the work you did turned into the result you got. Then, you'd write out what happened and what you planned to do next.
Whether you hit the goal, missed it, or crushed it, the manual process was the same.
With Artifacts, none of that is necessary. It’s a one-time setup. You connect your data and define your metrics once. After that, you tell Genie what you did, and it compares performance to the previous period, checks whether the work correlated with what you achieved, digs into why through statistical analysis, and recommends what to do next. Then it builds the report.
A “what happened last month” question becomes a finished report in minutes.
A few very specific things it can do:
Turn the same report into a slide deck. One follow-up request, nothing rebuilt.
Restyle a report to your own brand or a client’s, mid-conversation.
If you're a professional services firm, build a cross-client report spanning every account, not one client at a time.
Ship as a public link, with no login for whoever you send it to, or a PDF. Turn the link off whenever you want.
You might be asking, why not just use Claude or ChatGPT? Because Databox already has your data connected, understands how to calculate your metrics, and knows how to run statistical analysis on them.
Three things the general chat tools don’t have or don't do consistently. Ask one of them for a report and you feed it the data yourself, every time, and hope it calculates and analyzes correctly. And when it gets something wrong, you’re stuck.
Databox artifacts are editable, so you add your own context and Genie refines it. Fine tuning, not redoing.
Less time spent reporting means more time doing the work and more time thinking about how to do it better. If you’re not on Databox yet, I challenge you to automate your next report in three steps.
1. Start a trial, 2. connect your data, 3. and ask Genie to “create a report analyzing what happened last month and why.”
No coding, no spreadsheet-wrangling required.
About Artifacts by Databox on Product Hunt
“Ask your AI Analyst and get back a ready-to-share report”
Artifacts by Databox launched on Product Hunt on July 27th, 2026 and earned 433 upvotes and 97 comments, earning #2 Product of the Day. 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.
On the analytics side, Artifacts by Databox competes within Productivity, Marketing, SaaS and Artificial Intelligence — topics that collectively have 1.6M followers on Product Hunt. The dashboard above tracks how Artifacts by Databox performed against the three products that launched closest to it on the same day.
Who hunted Artifacts by Databox?
Artifacts 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.
Rohan Chaubey
Hi Product Hunt.
I’m Pete from Databox. Today we’re shipping Artifacts inside Genie, our AI Analyst. An artifact is a report Genie generates from your connected data. It combines the charts you’d normally build by hand with the analysis of what actually drove the numbers, in one shareable document.
Reporting used to work like this... You’d build a bunch of dashboards. You’d compare performance to the previous period and to goal, try to understand how the work you did turned into the result you got. Then, you'd write out what happened and what you planned to do next.
Whether you hit the goal, missed it, or crushed it, the manual process was the same.
With Artifacts, none of that is necessary. It’s a one-time setup. You connect your data and define your metrics once. After that, you tell Genie what you did, and it compares performance to the previous period, checks whether the work correlated with what you achieved, digs into why through statistical analysis, and recommends what to do next. Then it builds the report.
A “what happened last month” question becomes a finished report in minutes.
A few very specific things it can do:
Turn the same report into a slide deck. One follow-up request, nothing rebuilt.
Restyle a report to your own brand or a client’s, mid-conversation.
If you're a professional services firm, build a cross-client report spanning every account, not one client at a time.
Ship as a public link, with no login for whoever you send it to, or a PDF. Turn the link off whenever you want.
You might be asking, why not just use Claude or ChatGPT? Because Databox already has your data connected, understands how to calculate your metrics, and knows how to run statistical analysis on them.
Three things the general chat tools don’t have or don't do consistently. Ask one of them for a report and you feed it the data yourself, every time, and hope it calculates and analyzes correctly. And when it gets something wrong, you’re stuck.
Databox artifacts are editable, so you add your own context and Genie refines it. Fine tuning, not redoing.
Less time spent reporting means more time doing the work and more time thinking about how to do it better.
If you’re not on Databox yet, I challenge you to automate your next report in three steps.
1. Start a trial,
2. connect your data,
3. and ask Genie to “create a report analyzing what happened last month and why.”
No coding, no spreadsheet-wrangling required.