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 7th launch from Databox. View more
Skills Marketplace by Databox
Launching today
A library of ready-made skills for paid ads, website performance, ecommerce, revenue, and more. Each skill pulls from your live performance data and returns a finished, shareable report in under a minute. Run them in Claude when you want answers in chat, or schedule them in n8n to land in Slack or email automatically. Free to download.
Free Options
Launch Team / Built With
Databox
Hey Product Hunt 👋
Today, I'm excited to share the launch of our new Skills Marketplace for AI-powered data analysis. It's the culmination of a decade-plus of work by the Databox team.
Nine years ago, I left HubSpot to become CEO of Databox, a tiny startup no one had heard of. I did it because they were tackling a problem I knew needed solving: making data-informed decisions easy for anyone, not just analysts.
Back then, just pulling the data together was the hard part. It was scattered across a dozen tools, and getting it into one place took real work before anyone could make sense of it.
We've largely solved that part.
The bottleneck moved downstream, to the analysis, and AI looked like the answer.
Last year, prospects started telling us they were using it for their data analysis. The output looked confident, but they kept finding the math wasn't always right. We weren't surprised once we saw how they were doing it: feeding the AI partial data by uploading CSVs, screen-grabbing charts from different tools, or wiring up one MCP server at a time.
The fix isn't to stop using AI. It's to connect the AI to something that aggregates your data, applies your real metric definitions, and runs the math, so what comes back is accurate, not just confident. That's what Databox does, whether you use Genie, our built-in AI analyst, or connect your own LLM through our MCP server.
We launched both a few months back, and already a quarter of our customers use it every week.
The more they used it, the clearer the next problem got. Running the analysis was no longer the hard part. Knowing which analysis to run was.
We realized we could speed up adoption by giving people proven skills instead of a blank chat box. So we built the Skills Marketplace.
It's a free library of pre-built AI analytics skills that connect to live data and return a finished report in under a minute. Each skill is a specific analytical workflow that already knows which metrics to pull, what to compare against, what to flag, and how to structure the output.
A few examples of what's in there:
A weekly GA4 traffic report: sessions, channel breakdown, top pages, conversion rate, anomaly flags, all from live data
A cross-channel paid ads summary across Google, Meta, and LinkedIn from one trigger
Recurring workflows that deliver to Slack or email on a schedule, so no one has to remember to run them
We launched with 20+ skills and workflows. All free to download.
Take a look at what we built and let us know if it's helpful for you. 🙏
PS — What's the one report your team rebuilds by hand every week that you wish just ran itself? Drop it in the comments. We're prioritizing what to build next based on these replies.
PPS — A growing group of AI experts are building skills for our marketplace, getting exposure to our audience of 100Ks of people, including customers and partners. Want in? Reply below and we'll reach out with instructions.
Databox
The insight behind the Skills Marketplace didn't come from a product roadmap. It came from watching how people actually used Databox MCP after we launched it.
Teams connected their data sources, started asking questions in Claude, and got good answers. But then they hit a wall. They had to figure out which questions to ask, how to structure the analysis, what to compare against. The blank canvas problem. The AI was capable - but the analytical workflow still lived in someone's head.
That's what a skill solves. It's not a prompt. It's a complete analytical workflow - the questions, the structure, the context, the output format - packaged into a single file. The expertise is baked in. Someone who has never written an analytics report in their life can trigger a GA4 skill and get back something a senior analyst would be proud to send.
We built the first skills ourselves to prove the format. Then something interesting happened - people started asking if they could build their own and share them. That's when we knew the marketplace was the right move.
What excites me most about where this goes:
Skills as a new content format. A blog post explains how to analyze paid ads. A skill just does it. The knowledge is executable, not just readable.
The quality bar is structural. Every skill ships with a metric map, setup guide, and troubleshooting flow. The output is grounded in live data. It's not a prompt someone shared on Twitter - it's something that holds up against real numbers.
It compounds. Every new skill added to the marketplace is another reason to connect another data source. More sources, richer context, better output. The whole system gets more useful over time.
We're launching with 20+ skills and workflows today. That number is going to grow fast.
The bigger vision: a world where every repeating analytical task a marketing or ops team runs has a skill that does it automatically - grounded in real data, structured for sharing, trusted enough to act on. We think that world is closer than most people expect.
I tested the cross-channel paid ads skill across a few accounts with Google Ads, Facebook Ads, and LinkedIn Ads all connected. The output covered ROAS by platform, CTR trends, budget pacing, and anomaly flags - all in one pass, in under a minute. No manual data pull. No prompt engineering. Just the analysis a paid ads analyst would have produced, ready to send. For anyone doing this kind of reporting weekly across multiple clients, the time difference is not incremental. It's the entire task removed.
Databox
@tadej_kelc This is exactly the use case we built it for, agencies and in-house teams running the same report across multiple clients or accounts every week. Glad it held up under real conditions with live accounts connected. Curious how it compared to your usual workflow time-wise, even a rough before/after would be great to hear.
Really useful idea. Do the skills handle schema changes in connected sources without breaking reports?
Databox
@dhiraj_patel5 Good question. Each skill expects a specific metric map (listed on its product page), so if a source's schema shifts in a way that breaks that mapping, the run would fail or flag it rather than silently return bad data - that's what the troubleshooting flow included in every download is for. Since the skills are editable files, you can also adjust the metric map yourself if your setup changes. We're not auto-detecting schema drift yet, but it's a fair ask for the roadmap.
From a product perspective this feels like a pivot from dashboards to workflow. That’s a smart move because dashboards are becoming table stakes. The real value now is decision automation not visualization.
Databox
@alheri_murya Great read, Alheri. We'd frame it less as a pivot and more as an extension - dashboards still matter for the "what's happening" view, but customers kept hitting a wall when it came to "what do I do about it." Skills and workflows close that gap by turning the data into an actual decision or action, without someone manually pulling numbers into a doc first. So less either/or, more dashboards plus a layer of automation on top.
Databox
Every team has a reporting workflow that takes longer than it should. Pull the data, format the numbers, write the summary, send it to the right people. Skills Marketplace replaces that cycle. Download a skill built by someone who knows the work, run it on your live Databox data, get the finished analysis in under a minute. For recurring reports, set up the n8n workflow and it runs on a schedule without anyone triggering it. The ROI is clearest on the reports your team produces every single week.
Databox
The biggest benefit of the Skills Marketplace is expert-grade analysis on demand. Anyone can run analysis at a senior analyst's level, surfacing insights they might not have known to look for otherwise.
It's easy to set up, too. Connect your sources, set the cadence, and your weekly paid ads report or SEO monitor runs on its own, pulling live data, running the analysis, and delivering the finished result to Slack or email. No one has to open a dashboard.
This is 100% where reporting is headed 🚀