https://www.producthunt.com/prod...
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.
We just made that whole process unnecessary.
Loomal
This would save client-facing teams hours every month rebuilding the same presentation for recurring client meetings. Solid update.
Databox
@krutiparekh16 That's exactly the use case we had agencies in mind for. Recurring client decks are the most repetitive part of the job, and also the easiest to get wrong when you're doing it by hand every month. Appreciate you checking it out.
no rush, honestly the fact that you'd rather confirm than guess on a data-loss question is the right instinct. that's exactly the kind of answer that's worse wrong than late. I'll keep an eye out for the follow up
Databox
@galdayan Appreciate that, and appreciate the patience. Will circle back here as soon as I've got a confirmed answer rather than leave you hanging too long.
Databox
Every team I talk to has some version of the same Friday afternoon task: turn the week's numbers into something presentable and pass it around. Artifacts replaces that with a prompt. You ask Genie for the report, get back a finished document, and either share the link or download the PDF. You skip the whole assemble-and-format slog in the middle.
Databox
@thomas_bossee1 Exactly the moment we built this for. That Friday afternoon "turn the numbers into something presentable" task shouldn't take longer than the analysis itself. Ask Genie, get the doc, share the link. That's the whole workflow now.
Turning live data into a polished, shareable document in seconds is pretty incredible.
Databox
@mihael_kegl1 Thanks Mihael. The "in seconds" part is what took the most work honestly, going from a question to something client-ready without any manual assembly in between.
Congratulations on the launch. The connection to live data is what separates this from a generic AI document writer. What you share is grounded in the same numbers your dashboards already show. Well done to the team.
Databox
@gregor_sulcer1 Thanks Gregor. That was the core bet we made, an AI document is only as useful as the numbers behind it, so grounding it in the same data your dashboards already trust felt non-negotiable. Appreciate you calling that out.
Big congrats to the team. What stands out is that the document is built fresh each time, from your real connected data, instead of assembled from a template. That's the part that makes it trustworthy enough to send without double checking.
Databox
@rene_kolednik Thanks for the kind words. That "built fresh each time" part is exactly why we didn't go the template route, templates answer the same shape of question every time, and the moment someone asks something slightly different, you're back to rebuilding by hand.
What makes Genie useful is that it's working from the source data, not trying to interpret a screenshot. It connects to 130+ tools and pulls the numbers directly. So when the report is going to a client or the board, you don't have to manually check every figure before sending it.
Databox
@mateja_verlic_bruncic That's the part we didn't want to compromise on. An AI report is only worth sending if you don't have to fact-check it first, so pulling straight from the same 130+ connected sources instead of interpreting a screenshot was the whole point.