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

We ve been growing really fast (30%+ MoM ARR) at @Basedash since launching last year. Most of that growth has been the result of hard work, but we ve also had a secret weapon: an AI agent that acts as both a data analyst and a PM, working 24/7 to optimize our product s activation and conversion rates.

For decades, companies have been making product decisions based on intuition and manual data analysis. We wanted to see what would happen if AI could take the wheel completely.

We ve been growing really fast (30%+ MoM ARR) at @Basedash since launching last year. Most of that growth has been the result of hard work, but we ve also had a secret weapon: an AI agent that acts as both a data analyst and a PM, working 24/7 to optimize our product s activation and conversion rates.

For decades, companies have been making product decisions based on intuition and manual data analysis. We wanted to see what would happen if AI could take the wheel completely.

The other day I saw a poll on LinkedIn which said one of the biggest ongoing struggles of startups and small businesses is reliable, scalable lead generation especially beyond the usual tools like Apollo, ZoomInfo, Clearbit, etc.

Product Hunt often features some fresh and creative approaches to data. I have seen some around company enrichment, contact intelligence, trigger signals or even outreach automation.
But often PH launches get forgotten after their launch day.

What are some lesser-known or recent data tools you ve come across on Product Hunt that help with lead gen, enrichment, or prospecting?

We've all been there drowning in dashboards, buried in Notion docs, pinged in Slack threads, and still no clarity. As someone who's spent years working in ops and product, I'm constantly surprised at how hard it is to get a clean, real-time picture of what's actually going on in the business.

Why do we still need 4 tools and 5 people to answer simple questions like What s driving churn? or Are we hitting our sales targets?

Curious how others are thinking about this. If you're an operator, PM, or founder how are you solving this internally? Have you found workarounds or is it still duct tape + gut feeling?