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Data visualization turns metrics into charts and dashboards for product, web, and sales data, covering behavior, launches, retention, and privacy-first reporting.

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Forum discussions

Building a BI layer for Product Hunt launches — what metrics would you like to see?

One recurring piece of feedback after launching PH Radar was that makers want more context, not just rankings.

I'm currently experimenting with a BI layer that analyzes Product Hunt activity beyond the daily leaderboard.

Current prototype dashboards include::

Launches by category
Votes by category
Hunter activity
Comment-to-vote ratios
Historical launch trends

33 comments•139 views

1mo ago

PH Radar BI is now live.

What started as a Product Hunt companion has become a BI layer for launches.

Custom dashboards, momentum, opportunity radar, hunter analytics, repeat launches, race replay, maker responsiveness and more.

Special thanks to @oshylabs and everyone in this forum whose feedback shaped a lot of this repeat launches and the responsiveness signal came straight out of conversations here. (The responsiveness metric even caught a question I'd missed on my own launch.)

What's still missing? If you could add one metric to Product Hunt itself, what would it be?

9 comments•42 views

29d ago

Databox

How many steps does it take to answer a simple data question?

We've been thinking a lot about this moment. A stakeholder asks "how did our paid campaigns do last week?" or "are we on track for the month?" - and even with dashboards already built, getting a clean answer still takes more steps than it should.

You open the right tool. Filter the right date range. Cross-reference another source. Paste it into a Slack message. Sometimes you just end up saying "let me get back to you on that."

The data exists. The dashboards exist. But the path from question to answer still has too much friction in it.

That's the problem we set out to solve with Databox MCP - launching on Product Hunt May 28. Instead of navigating dashboards, you ask the question directly in whatever AI tool you already use - Claude, ChatGPT, n8n, Cursor - and get an answer pulled from your live data.

7 comments•67 views

2mo ago

todai

Behind every metric is a story - here to find it

I m a product analyst with a soft spot for clean dashboards, weird funnels, and those aha moments that come from digging deep into user behavior.

Started out in the corporate world, now living the fast-paced startup life - helping teams cut through the noise, spot what s really going on, and make smarter decisions with data (not just vibes).

5 comments•55 views

1yr ago

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