We've spent the last few months building Genie, an AI analyst inside Databox. Tomorrow it goes live on Product Hunt.
The short version: you ask a question about your data in plain language, Genie finds the right metrics, runs the analysis, and returns an answer with a chart in seconds. No SQL, no waiting on someone else.
If you've been following along in this forum, thank you the conversations here genuinely shaped how we think about the product.
We go live at midnight PT. If you want to support the launch, the one thing that matters most: make sure you have a Product Hunt account before midnight. Votes from accounts created on launch day carry much less weight in the algorithm.
Documentation.AI
Congrats on the launch!! Is there a page I can see the integrations possible? Thanks.
Databox
@roopreddy , thank you! Yes - full list is at databox.com/integrations. We support 130+ integrations covering analytics, ads, CRM, ecommerce, email marketing, databases, warehouses, and more.
Hope you find what you need! 🙏
ConnectMachine
Looks pretty slick! Does it handle role-based access control across teams and dashboards? Congrats!!!
Databox
@syed_shayanur_rahman , great question - and yes, Databox has solid access control built in!
Here's how it works:
User roles - select between Admin, Editor, User or Viewer role
User permissions - you can add and manage permissions for your team, so you can define which data sources and dashboards they have access to
So whether you're a team that needs to keep marketing away from finance data, or an agency managing multiple clients, the access model has you covered.
Thanks for checking it out! 🙏
this will be a homerun application. Could use this on a small scale business to i supose?
Databox
@sonny_van_wiele , absolutely - small businesses are actually one of the best fits for Genie!
You typically don't have a dedicated data analyst, so every time you need an answer about your performance, it either takes forever or just doesn't happen. Genie fills that gap - you just ask the question and get the answer, no technical skills needed.
As a data analyst, I was genuinely curious how Genie would handle nuanced questions. I tested things like month-over-month retention by segment and root-cause questions about churn spikes. The answers were accurate, and the reasoning was sound. It will not replace deep analysis - but for the 80% of everyday data questions, it delivers consistently.
Databox
@tadej_kelc , a data analyst putting Genie through its paces with retention by segment and churn root-cause questions - and coming away satisfied - is honestly one of the best reviews we could get today. Thank you for sharing it!
And that "80% of everyday questions" framing is exactly right. Genie isn't trying to replace the deep analytical work that requires a skilled analyst - it's trying to eliminate the routine, repetitive questions that eat up that analyst's time and slow everyone else down.
When the 80% is handled, analysts like you can focus on the 20% that actually requires your expertise. That's the right division of labor.
Really appreciate you testing it seriously and giving an honest take. 🙏
I have been close to this product for a long time. What still gets me is watching someone use it for the first time - they come in skeptical, type one question, and within 30 seconds they are already asking a follow-up. That moment where skepticism turns into genuine curiosity is the best signal a product can give you. Really proud of what the team shipped.
Databox
@tijana_milasevic1 You are right. The "follow up" question is what hooks people.
I think they realize that to ask that follow up question in the past, they had to go to another dashboard, create a new metric or worse: go ask someone else how to look at the data that way.
Huge congrats to the Databox team on launching this! 📈
I’ve been playing around with the beta for a week leading up to today, and the value it provides is immediate. It’s seriously useful for cutting through the data noise. I really love how it drafts short, contextualized reports and quick visualizations. I even prompted it to turn those insights into complete dashboards that I can send directly to stakeholders on Slack or via email! It perfectly bridges the gap between staring at metrics and actually understanding the insights. Fantastic addition to the platform!
Databox
@alexprime , this is exactly the kind of feedback that makes launch day worth it - thank you for taking the time to share it!
The flow you described - from question, to contextualized insight, to a dashboard you can send straight to stakeholders on Slack or email - is the full loop we designed for. The goal was never just to answer a question, but to make that answer actually usable without five more manual steps in between.
Really glad the beta week paid off and that you got to see it come together. Hope it keeps delivering for you - and would love to hear what you explore next! 🙏🚀
Hi @davorin, congrats on the launch. You have 20,000+ customers and a wall of awards from G2, Capterra, Gartner. That's serious social proof. But it's all the way at the bottom. A founder landing on your page has to scroll past features, integrations, and use cases before they see why they should trust you.
That proof could do a lot more work for you if it hit people sooner.
Also noticed the "Unlimited users on every plan" line is buried in the "Before Databox / After Databox" section. That's a massive differentiator. Most BI tools charge per seat. That alone could be a hero line.
Just a thought. Excited to see where Genie goes. Good luck with the launch.
Databox
@taimur_haider1 thank you, really appreciate this thoughtful feedback.
You are absolutely right that trust signals like customer count, awards, and proof points should work harder and show up earlier. The same goes for unlimited users. That is a meaningful differentiator and probably deserves much more prominence than it has today. I’ll make sure to pass this feedback along to our marketing team.
This is exactly the kind of outside perspective that is incredibly valuable, so thank you for taking the time to share it. And thanks again for the kind words about Genie.