Genie by Databox

Your AI analyst for business performance

Analytics

SaaS

Artificial Intelligence

The "instant insights from your data" angle is exactly where business tools need to go — most dashboards show you the numbers but make you do all the interpretation yourself.

Curious how Genie handles conflicting signals — like when revenue is up but churn is also up at the same time? Does it surface that tension automatically or does the user need to know to ask for it?

Building AI insights into Zeno Finance for freelancers and the hardest part is knowing which insight is actually worth surfacing vs just adding noise. Would love to know how you approached that prioritization.

Love that you're bringing conversational analytics directly into the tools people already use — the MCP integration with Claude/ChatGPT is a great touch.

Question: when Genie surfaces "why metrics changed," how deep does the attribution go? For example, if my blog traffic dropped 20% last week, would it just say "organic search declined" or would it dig into specific pages, keyword rankings, or referral changes?

As someone building content automation tools, I've found that the gap between "what happened" and "why it happened" is where most analytics products lose people. The ones that bridge that gap become indispensable. Sounds like that's exactly what you're going for.

This is huge for my weekly and monthly marketing reporting. Dashboards are great, but Genie is faster and easier to get performance answers on the spot. I've already been using it for several weeks while in beta, and I now have a standard prompt I use to get weekly insights on our marketing leads, pipeline, and sources in less than 2 mins. Saves a tone of time AND helps me answer ad hoc leadership questions re: marketing performance much faster. Huge win!

I always like being able to track back where the data source is being referenced from when AI completes their analysis. How easy is it to do that using Genie? Does it automatically always include an audit trail so that I can see where it pulled data or when it combined/manipulated data to get to a conclusion?

Congrats on the launch! Having an AI analyst that can just tell you why a metric has dropped without having to dig through a bunch of dashboards is such a huge time saver for any startup team. Can Genie pull from multiple data sources or is it limited to what's already in Databox?

Feels solid but a bit generic AI-powered analytics + answers fast could describe 50 tools on PH. I’d make it sharper with a specific use case or user to stand out instantly.

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!

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.

Top! As someone on the sales floor every day, having instant access to performance data without needing a BI tool or writing SQL is huge. I asked Genie which deals are most at risk this month and got a prioritized list right away. No report to build, no analyst to ping. Highly recommend for sales teams.

The Genie AI Analyst is a smart move – asking questions in plain language instead of building custom dashboards lowers the barrier massively, especially for non-technical team members who usually depend on analysts for every ad-hoc question.

Curious about one thing: with 130+ integrations, how do you handle data consistency when different sources define the same metric differently (e.g. "revenue" in Stripe vs. QuickBooks vs. HubSpot)? Is that something Genie can flag, or is it on the user to standardize via Datasets first?

Databox's AI tools (even during the beta period) have drastically changed how I manage the business. I'm able to get insight into performance into anything at any time. I can do a deep dive analysis once per week that helps me know where to focus and what questions to ask the team. It's truly like having a full-time analyst available to me, one that can answer questions instantly and never gets overwhelmed with requests.

Excited to hear how others are using this and how it'll help them.

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.

I saw a post on linkedin that you were coming out with a new chatbot so decided to give it a shot.
To be honest it is one of the cleanest and well chatbots I've seen in a long time. It especially surprised me with the diagrams it made and just how well it worked for just coming out! Good job!

Super proud to be part of the team behind this.
As a sales consultant, I’m always careful about what I recommend vs. what I actually use. Genie is both.
Use it every week, not just in demos 😄
Huge congrats to everyone who made this happen.

this will be a homerun application. Could use this on a small scale business to i supose?

Big day for the team! Really proud of what we shipped. If you are in sales and rely on numbers to hit your targets, give Genie a try - you will not go back to the old way.