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.
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.
Congratulations @zigapotocnik!! Paid ads, ecommerce, revenue skills out of the box is the kind of thing every marketing team quietly cobbles together in spreadsheets, nice to see it pre-built.
This reminds me a bit of Zapier templates, except for analytics workflows. Different category, similar onboarding advantage.
Congrats on being #2 Product of the Day. It would be awesome if the marketplace eventually supported community ratings and reviews for each skill or does it support already?
Love it! How do you control the quality of the skills in the marketplace so that it doesn't become flooded with low-quality skills over time?
Congratulations on the launch. Does it handle messy real-world data where a company may have custom definitions?
The biggest issue I've had with AI reports is trusting the numbers, not generating the words. This seems to tackle the right problem. Congrats on shipping.
Really like that you're shipping these as skills rather than another dashboard I have to go learn. The "drop it in and ask" angle fits how people actually poke at their data.
Hi Peter, this is great. Is there also any recommendations you provide based on the reports? In terms of action items?
That sounds like a product I could definitely use. Can these skills work with other AI tools besides Claude, or is it Claude-only for now?
I'm still learning data analytics, so this looks interesting. Would you recommend these AI skills for beginners who are trying to understand their data, or are they better suited for experienced teams?
One thing that stands out is the setup experience. Each skill includes a metric map showing the required data sources and metrics, along with a setup guide and troubleshooting documentation. Getting from download to a first result typically takes less than 30 minutes.
For teams used to analytics integrations that can take days to configure, that's a noticeable difference. The goal is for the first run to produce something useful right away, and in practice the skills are built to make that happen.
The marketplace is probably the most interesting part of this. My first thought was maintenance. If a skill gets updated less often than the tools or metrics it depends on, how does a team know? Is there some way to flag outdated skills before they quietly start producing misleading reports? Congrats on the launch!
The "knowledge as an executable skill file instead of a blog post" framing really stuck with me, so I'm curious what stops the marketplace from filling up with thirty near identical GA4 skills once partners pile in, is there any curation layer or do the best ones just float up by usage?
This seems really interesting because I feel like most people don't struggle with getting an answer from AI they struggle with asking the right prompt. I'm curious what was the first report that almost every customer kept asking for. I always find those patterns interesting because they usually tell you what people actually care about, not just what they say they want.
The metric-map-fails-loudly default is the right call, but the case that bit us with shareable skill files was the quiet one: a source renames a field and quietly repoints it at slightly different semantics, so the map still resolves structurally and the run succeeds with subtly wrong numbers. Do skills pin a schema version or hash the source's field definitions, or is the metric map matched purely by name?
I have tried a few analytics AI tools before, but many still expect me to figure out the right prompts. I like that your approach starts with proven workflows instead. That feels like a more natural way for teams to adopt AI without a lot of trial and error.
I spend more time deciding which report to build than actually reviewing it, so this approach caught my attention. Having analysis already structured around real metrics sounds like it could save a lot of back and forth.
I want to give a proper shout out to the partners who have built skills. Their skills are really well written and extremely practical.
These partners have spent years (if not decades) doing this work by hand for themselves and clients. They've now encoded that experience and judgement into these skills for the rest of us to run.
It's extremely valuable and generous of them!
A few worth checking out...
Rick Kranz (AI Marketing Labs, https://ai-marketinglabs.com) has built a whole library of analytics skills. His Sales Pulse skill connects to your CRM through Databox, pulls 14+ pipeline, activity, and funnel metrics, compares two rolling four-week periods, and surfaces the 3-4 findings that actually matter, like deal concentration risk and coverage ratio, before it shows you a single chart. It's pipeline interpretation, not another dashboard. https://databox.com/skills-marketplace/skill/sales-pulse-dashboard
Manav Mehra (Wagman Digital, https://wagmandigital.com) spent 18 years in finance before building his Quick Financial Health Check. It pulls P&L, balance sheet, cash, and AR/AP through Databox and outputs a monthly financial dashboard for services firms: cash flow projection, collections aging, missing-invoice detection. If a number isn't there, it shows a visible data gap instead of inventing one. That discipline is the whole point. https://databox.com/skills-marketplace/skill/quick-financial-health-check
Vasundhara Gupta (Atidiv, https://atidiv.com) built Morning Marketing Summary for people who don't want to open dashboards at all. It reviews your marketing data every morning and emails or Slacks a plain-English briefing under 250 words: what happened, what matters, and the 2-4 moves to make. It learns your channels and targets on the first run and tailors every summary after that. https://databox.com/skills-marketplace/workflow/morning-marketing-summary
Keith Gutierrez (Modgility, https://modgility.com) built Content Performance MAX, which turns any URL into a ready-to-review SEO metadata rewrite in about two minutes. It uses GA4 and Search Console data in Databox to decide which pages are even worth optimizing first, then drafts new titles, H1s, and meta descriptions with a human approval gate before anything touches your CMS. https://databox.com/skills-marketplace/skill/content-performance-max-starter
Marc Woodland (Winbox, https://www.winbox.co) is a LinkedIn Ads specialist who co-hosts the LinkedIn Ads Insider podcast, and he built Monthly LinkedIn Ads Analytics for the thing every team struggles with: a great workflow one person builds shouldn't die on their laptop. His skill plugs the Databox MCP straight into Claude, pulls your LinkedIn Ads campaign data into the chat with no exports or spreadsheets, and produces a clean one-page monthly report benchmarked on reach, relevance, engagement, and pipeline. https://databox.com/skills-marketplace/skill/monthly-linkedin-ads-analytics
Laszlo Fazakas (Arcanian, https://arcanian.com) built Set Baseline to kill a trap I see constantly: treating last month as a baseline. For a seasonal business, December is not a fair reference for January. His skill pulls enough real history to see the seasonal pattern, then states the baseline as a seasonality-adjusted range with the math and a confidence level, so "did it work?" finally has something honest to compare against. https://databox.com/skills-marketplace/skill/set-baseline
Today's launch is a really important milestone. But, the marketplace is bound to get better every time someone with real expertise adds a skill.
So, if you've built something on the Databox MCP, or want to, reply here and we'll get you in
About Skills Marketplace by Databox on Product Hunt
“Ready-made AI analytics skills for your business data”
Skills Marketplace by Databox launched on Product Hunt on June 30th, 2026 and earned 415 upvotes and 65 comments, earning #2 Product of the Day. 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.
Skills Marketplace by Databox was featured in Android (57.3k followers), Analytics (172.7k followers), Marketing (465.7k followers) and Artificial Intelligence (473.1k followers) on Product Hunt. Together, these topics include over 239.8k products, making this a competitive space to launch in.
Who hunted Skills Marketplace by Databox?
Skills Marketplace by Databox was hunted by Rohan Chaubey. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Reviews
Skills Marketplace by Databox has received 2 reviews on Product Hunt with an average rating of 4.50/5. Read all reviews on Product Hunt.
Want to see how Skills Marketplace by Databox stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Rohan Chaubey
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.