Ziga Potocnik

Product Manager at @databoxhq | AI Product Strategy, Growth & PLG Expert

[Ziga Potocnik @zigapoto]

We launched Genie on @ProductHunt (on March 18th), and we finished #3 Product of the Day! 🎉

On a day when @AnthropicAI , @OpenAI , @xai , and @perplexity_ai were also on the board. We're honestly still processing that.

The feedback confirmed exactly why we built Genie by @databoxHQ :
1) Teams don't lack data - they lack fast answers to specific questions like "why did revenue drop last month?"

2) Once the friction is gone, people go deeper. Quick checks turn into analysis they'd never have bothered with before.

3)"AI analytics" means nothing. What landed: answers grounded in your actual connected data, not a chat window you paste numbers into.

---
THANK YOU to everyone who supported the launch - it genuinely means a lot to the whole team. 🤝

[Ziga Potocnik @zigapoto]

@ProductHunt @databoxHQ Try it for free: https://t.co/ai3cF86TJT

[Ziga Potocnik @zigapoto]

Two @ProductHunt launches. Both #3 Product of the Day.

Genie in March. @databoxHQ MCP yesterday.

The number I actually care about: 170+ MAU, 288 tool calls per user per month. Up 46%. That's not people trying it - that's people building their workflow around it.

[Databox @databoxHQ]

We're live on @ProductHunt today! 📣
AI tools are great at reasoning. But they're disconnected from your real business data.
Databox MCP fixes that. Connect your data to Claude, ChatGPT, or n8n and just talk to it.
Ask, get a chart back & automate the rest. The answer comes to you. You don't navigate to it.
Support us today 👇 [link in comments]

[Ziga Potocnik @zigapoto]

Check it here: https://t.co/X4RXn6cnNw

[Ziga Potocnik @zigapoto]

If you're building with MCP or just curious what it looks like in a real workflow - worth a look.

Connect your business data to Claude, ChatGPT, or n8n - ask questions in plain language, get answers with @databoxHQ charts inline.

[Anuj @anujcodes_21]

Dashboards are just pretty graveyards for data. 🪦

You open it at 9 AM.
Stare at a red line.
Go back to Excel to figure out why.

That is not analytics. That is a screensaver with extra steps.

Meet @databoxHQ MCP.

It connects your business data directly to Claude, ChatGPT, or Cursor.

No dashboard to build.
No SQL to write.
No "let me ask the data team and get back to you."

👇 You just... ask.

"What happened to my CAC last week?"
"Which Meta campaign actually drove revenue?"
"Why did traffic drop on Tuesday?"

Your AI does the math. Using your real metrics. Your definitions. Your history.

And it gives you an answer you can act on. Inside your chat.

The part that broke my brain:
✅ 130+ data sources (Google Ads, HubSpot, Shopify, Meta).
✅ Interactive charts rendered inside Claude/ChatGPT.
✅ Push data from anywhere → AI can see it instantly.
✅ Automate reports with n8n or Make.

Connect in under 60 seconds.

Then stop staring at red lines.
Start asking why they are red.

👉 Chat with your business data here:
https://t.co/LUHJNvXDwl

@databoxHQ MCP is live on ProductHunt right now:
https://t.co/XdaX6y8V2m

��️ Repost if you have ever ignored a dashboard.

—
#Analytics #AI #Claude #ChatGPT #DataScience #DataboxMCP

[Databox @databoxHQ]

How does getting your performance numbers directly from a Slack chat sound? 🤩

Guess what, there is free n8n template that makes this possible.
You @mention the bot, ask a performance question, and get an answer from your actual Databox data in seconds. 🎉

It's free, requires no code, and it only takes 15min to set up.

Grab it here: https://t.co/peZSU6OP4t

[Databox @databoxHQ]

If you haven't merged your paid ads and website data yet, you're missing insights neither source can show alone.😬

There's a free n8n template that fixes that by pulling data from both sources through Databox, running AI analysis across both, and emailing you a cross-channel report with recommendations every morning.

It's basically the briefing your analyst would build if you asked nicely. 🙊

Grab it here: https://t.co/MLFzHKaqWR

[Ziga Potocnik @zigapoto]

@mattepstein Databox MCP
--
Chat with your business data inside your AI tools - Claude, ChatGPT, Cursor, or automate workflows with n8n.

We are launching this on PH next week.

[Databox @databoxHQ]

You have the data. But getting to the answer includes waiting, spreadsheets, or looping in your analyst.

That changes now.

Databox is an AI-powered analytics platform built to give teams clear, trusted answers, fast. ✨

Stop looking for answers. Just ask.

[Ziga Potocnik @zigapoto]

@aaliya_va @databoxHQ Thank you for your support!

[Ziga Potocnik @zigapoto]

Custom Integrations is something I've been wanting to ship for a long time. One of the most consistent frustrations we heard from users - and honestly felt ourselves - was being blocked by a missing integration.

Now you can connect virtually any tool yourself, build full datasets, and get answers from your data. No developer needed.

Would mean a lot if you supported us today.

[Ziga Potocnik @zigapoto]

Custom Integrations is something I've been wanting to ship for a long time. One of the most consistent frustrations we heard from users - and honestly felt ourselves - was being blocked by a missing integration.

Now you can connect virtually any tool yourself, build full datasets, and get answers from your data. No developer needed.

Would mean a lot if you supported us today.

[Databox @databoxHQ]

We're live on Product Hunt today. 🚀

Custom Integrations is now available in Databox, which means you can connect virtually any tool, build full datasets, and get answers from your data. No developer needed.

Support us here: https://t.co/38Cx9JA28p

[Ziga Potocnik @zigapoto]

We just shipped Custom Integrations, and I've been waiting to write this post for a while.

For the past few years, one of the most common reasons we lost deals or saw customers churn was a missing integration. The answer to "do you support XY?" was almost always no. We'd log the request, add it to the backlog, and move on. The customer either waited or left.

That always felt like a solvable problem. Not easy - but solvable.

Today it is.

Custom Integrations by @databoxHQ lets anyone connect any JSON API to Databox without writing a single line of code. OAuth2, pagination, dynamic date handling - all covered. Once connected, you get a full structured dataset you can explore, filter, build metrics from, and query with Genie or any MCP-compatible AI tool.

The answer to "do you support XY?" is now almost always yes.

If you've ever been blocked by a missing integration - or if you're curious what this looks like in practice - I'd love to hear from you.

p.s. we are live today on Product Hunt. Link in the description.

[Anuj @anujcodes_21]

I once calculated how many hours my team lost to "data that lives somewhere else."

Export from this tool. Clean in Excel. Import into that dashboard. Repeat every Monday. Hope nothing breaks.

It was easily 5 hours a week. Per person.

And the answer from every analytics platform was always the same: "We don't have that integration. Submit a feature request. Wait 6 months."

So we changed the answer.

@databoxHQ just launched Custom Integrations.

Here's what it actually means:

→ Connect virtually any JSON-based API without writing a single line of code
→ Paste your API docs into ChatGPT or Claude, ask it to generate the config
→ Paste that config into Databox. Done. Live dataset in minutes.
→ Start asking questions in plain language immediately. No SQL. No dashboards to pre-build. No metrics to pre-define.

This isn't a minor feature update. It fundamentally changes what "supported integrations" means.

The output is a full structured dataset not just a metric. Queryable. Filterable.

You can explore and build on it immediately. Use it with our AI analyst or access it via MCP with any AI tool you already use.

OAuth2, complex pagination, dynamic date ranges — all handled. No configuration headaches.

What used to take a developer half a day now takes the time it takes to make a coffee.

This is the most significant update to @databoxHQ since our AI analyst launched. And no other analytics platform on the market does this in a single, code-free workflow.

If you've ever stared at a "Request Integration" button and felt your Sunday evening drain away : https://t.co/0qida5AUjB

And check out the product hunt launch here: https://t.co/4m6geSRhcm

👇 Drop "DATASET" in the comments.

♻️ Repost for the person on your team still manually exporting CSVs every Monday morning.

[Databox @databoxHQ]

Missing integrations shouldn't mean missing data.
✔️ We're fixing that tomorrow.

[Databox @databoxHQ]

Something we've heard a lot: "Do you support [this tool]?"
We're about to change the answer to that question permanently.

Stay tuned.

[Humalike @humalikeai]

Introducing Jared IRL
The first coworker that's everywhere your team is

Not an assistant you prompt
An employee
On every screen
In every room

Free trial available ↓

[Databox @databoxHQ]

📣 If your job depends on making sense of performance data — and getting there fast — this is for you.

On April 8th, we're launching Databox AI — and it changes how all of them work with data.

Here's what we're introducing:
🔍 Genie — your AI analyst, available 24/7. Ask anything in plain English. Get answers grounded in your real business data, with the context to act on them immediately.
📝 AI Performance Summaries — automated written overviews of your metrics, trends, and goal progress. Less time reporting. More time deciding.
🔗 Databox MCP — connect your performance data to Claude, ChatGPT, and tools like n8n. Analyze, automate, and act — without leaving the tools you already use.

Analytics has moved on. Have you?

✨ REGISTER NOW for the LIVE launch event on April 8th → https://t.co/S08bsGR6qd

[Ziga Potocnik @zigapoto]

@ProductHunt @AnthropicAI @OpenAI @xai @perplexity_ai If you haven't tried Genie yet, you can sign up for free at https://t.co/NozXIyny9u. Ask it anything about your business data.

[Ziga Potocnik @zigapoto]

We launched Genie on @ProductHunt (on March 18th), and we finished #3 Product of the Day! 🎉

On a day when @AnthropicAI , @OpenAI , @xai , and @perplexity_ai were also on the board. We're honestly still processing that.

The feedback confirmed exactly why we built Genie by @databoxHQ :
1) Teams don't lack data - they lack fast answers to specific questions like "why did revenue drop last month?"

2) Once the friction is gone, people go deeper. Quick checks turn into analysis they'd never have bothered with before.

3)"AI analytics" means nothing. What landed: answers grounded in your actual connected data, not a chat window you paste numbers into.

---
THANK YOU to everyone who supported the launch - it genuinely means a lot to the whole team. 🤝