Databox is an AI-powered business intelligence and analytics platform for teams that need clear, trusted answers fast. It offers the best of BI, without the complicated setup, steep price, or long learning curve. It provides a blend of powerful, but easy-to-use, features, from preparing datasets and creating the custom metrics your company needs to track, to building beautiful dashboards, customizing your reporting, and receiving AI-powered insights.
This is the 5th launch from Databox. View more
Genie by Databox
Launching today
Genie is an AI analyst built into Databox. Ask questions about your business performance and get instant insights from your data, so your team can quickly understand what’s driving results and take action.
Free Options
Launch Team / Built With
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. 🙏
Databox
Hi Product Hunt! 👋
I'm Davorin from the Databox team, and today we’re excited to share something we’ve been working on for a while: Genie, your AI analyst.
Most teams today have dashboards and reports that track everything from revenue to marketing performance. But when someone asks a simple question about what’s actually happening, like why revenue dropped or what’s driving the growth, getting clear answers is still harder than it should be.
You have to dig through multiple dashboards, compare metrics, identify trends, or even loop your data team. And by the time you finally have a clear explanation, you’ve already burned hours you didn’t really have.
We kept seeing the same pattern: even though teams had plenty of data, they were still struggling to get answers fast enough to make decisions.
So we built Genie.
Genie is an AI analyst built directly into Databox. Ask questions about your business performance in plain language and get answers instantly, with trends, visualizations, and context drawn directly from your metrics.
Here are a few things you can do with Genie today:
🔎 Ask questions about your data: Understand why metrics changed, uncover insights faster, or dig deeper into what’s actually driving performance.
📊 Create metrics and dashboards: Describe what you want to build, and Genie can generate the metric or dashboard for you.
💬 Share analyses instantly: Send Genie conversations to anyone so they can see the analysis and context behind the answer.
🪄 Chat with Genie from your AI tools using MCP: Explore performance and uncover insights directly in tools like Claude or ChatGPT.
Genie is designed to help anyone on your team explore and understand performance data, so decisions don’t have to wait.
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We’d love your honest feedback: what’s the #1 question about your business data you wish you could answer instantly?
Drop it in the comments - we’re building Genie with teams like yours in mind, and your feedback will directly shape what we work on next.
Thanks for checking out Genie. Every comment, idea, and upvote means a lot to our small team. 🙏
Many congratulations @davorin @zigapotocnik and team! :)
I am excited to hunt Genie by Databox today!
From the first conversation with the Genie team, it was clear they weren’t just building another “AI analytics” tool, but rethinking how teams actually interact with their data.
I’ve seen a lot of AI analysts that rely on static uploads or disconnected data. Genie felt different right away.
What stood out to me:
It already understands your metrics and context
It works on live data across 100+ integrations, not stale CSVs
It doesn’t just answer questions, it actually builds dashboards and metrics for you
And most importantly, it helps you understand why numbers move, not just what changed
That combination is rare.
If you’ve ever spent hours jumping between dashboards just to answer one simple question, you’ll get why this matters. This is a thoughtful, execution-heavy product and I look forward to future updates.
Databox
Thank you, @rohanrecommends , for the kind and encouraging words. I’m very proud of the entire team, because they truly deserve the credit for this launch. They’ve put in a huge amount of effort over the past few months, and I’m excited to see Genie help both existing and new customers get faster, clearer insights from their data.
@davorin This is solid. That problem is way too familiar.
Dashboards are nice until someone asks a simple question and suddenly you’re digging through five tabs trying to piece things together. It gets old fast.
I like the angle here. Feels less like “another analytics tool” and more like something that actually helps you understand what’s going on without the back and forth.
Quick one though. If I ask why something dropped, does it just show related metrics or does it actually try to explain what likely caused it?
Either way, this is clean. I can see teams using this a lot.
Well done @davorin and team.
Databox
@adeola_daniel1 You described the problem exactly right. Dashboards help you monitor performance, but the moment someone asks why something changed, the work usually starts. That is the gap we wanted Genie to close.
On your question: Genie does more than just surface related metrics. It looks at the broader context around the change and tries to explain likely drivers behind it based on the patterns and relationships in your data. The goal is not just to show what moved, but to help you understand what most likely caused it.
Really appreciate the thoughtful comment and the support. Huge credit goes to the whole team behind this launch.
ClawSecure
@davorin The "best of BI without the complicated setup" positioning is exactly right. The biggest barrier to data-driven decision making in most teams isn't the data itself, it's the 6-week implementation cycle and the need for a dedicated analyst just to build a dashboard. If you can collapse that to self-serve without sacrificing the depth of custom metrics and dataset preparation, that's a massive unlock.
We run multiple analytics tools internally and the constant friction is always the same: getting from raw data to an actual insight that someone can act on without waiting for an engineer to build a custom query. AI-powered insights on top of that is where it gets really interesting, surfacing the patterns that humans would miss or take weeks to find manually.
The combination of custom metrics, clean dashboards, and automated reporting in one platform is a strong value prop too. Most teams are stitching together 3-4 tools to get what this does in one place. Congrats on the launch!
Databox
@jdsalbego thank you, this is such a thoughtful take.
You captured the core problem really well. For many teams, the biggest challenge is not access to data, it is the time, complexity, and dependency required to turn that data into something useful. That is exactly the friction we have been trying to remove.
We believe the real unlock is making powerful analytics more self-serve without losing the flexibility teams need for custom metrics, deeper analysis, and real decision-making. And as you said, the opportunity gets even bigger when AI can help surface patterns and insights faster than teams could find manually on their own.
Really appreciate you calling out the value of bringing this all into one platform as well. That has been a big part of our vision from the start. Thanks again for the support, and huge credit to the whole Databox team behind this launch.
ClawSecure
@davorin This is because I deal with this daily with my team at our company. Plus, there's so much fragmentation across different current platforms and products to make sense of the data and turn it into actionable insights, so that even makes it more challenging. You might find one platform that does 70% of what you need really well, but you're still missing the other 30% and then trying to migrate them into your company's central data management system in a streamlined fashion is not easy at all.
Wannabe Stark
Synthesia
This is awesome and a very clear peek into where business analytics is moving in the short term. Congrats team!
One question: is there already a Slack integration or potentially coming soon? @davorin
Databox
Thank you @jmarovt, I really appreciate your support. Yes, a Slack app is coming shortly.
This looks interesting, especially for teams that want answers quickly without having to build everything from scratch first. The idea of having an AI analyst built right into the BI workflow makes a lot of sense if it can actually help people get to insights faster.
Curious, what kinds of questions are users asking Genie the most right now?
Databox
@akshay_kumar_hireid , great question - and we actually have a pretty good picture of this from beta!
The most common questions fall into a few buckets:
Performance checks - "how did my ads perform last month vs the month before?"
Anomaly investigation - "why did sessions drop last Tuesday?"
Cross-channel comparisons - "which channel is driving the most conversions right now?"
What's interesting is that most of these aren't complex queries technically - but they used to require knowing where to look, which dashboard, which metric, which filter. Genie just removes all that friction.
The "built into the BI workflow" point you made is exactly the bet we made. An AI analyst is only as useful as the data it can access - and since Genie sits on top of all your connected sources in Databox, the answers are grounded and reliable.
Thanks for checking it out today! 🙏
this is pretty cool tbh. a lot of teams want insights from their data, but the setup and learning curve usually slow everything down. having an ai analyst inside databox feels like a smart way to make analytics more approachable.
curious, are people using genie more for quick checks or deeper business analysis?
Databox
@nayan_surya98 , great question - and honestly, we're seeing both!
A big chunk of users start with quick checks: "how did my campaign perform last week?", "is churn up this month?" - the kind of questions that used to require digging through dashboards or pulling a report. Genie makes those instant.
But what's been really interesting is watching those same users go deeper over time. Once the friction is gone, the questions get more ambitious. Teams start doing analysis they simply wouldn't have bothered with before.
The setup and learning curve point you raised is exactly what we tackled head-on. Since Genie lives inside Databox where the data already is, there's no new integration, no separate tool to learn - you just ask.
Thanks for the kind words and for checking us out today! 🙌
I couldn’t find this on the landing page, so asking here... how do you ensure that data we upload or connect remains fully private? What security standards are you following?
Congrats on the launch.
Databox
@zerotox , great question - and a fair point that it's not prominently surfaced on the landing page - https://databox.com/privacy-policy.
Here's what I can share:
Your data is securely stored in our database on our own servers or cloud-hosted environments, protected using encryption, firewalls, and 256-bit SSL
Your user content is kept private within your account - Databox does not monitor it, and database access is granted to technicians only on a case-by-case basis to troubleshoot specific technical issues, or as required by law
Databox does not rent or sell your personal data to others
We are GDPR compliant and have a full Security Policy at databox.com/security-policy with the complete breakdown of our implemented measures.
Thanks for digging in - it's exactly the right question to ask before trusting any tool with your business data. 🙏