Everyone here tells you to comment more. I went and read what the points actually say, and they disagree.
My all time breakdown, read today on producthunt.com/kitty-points with the period switched to All time. Switch it, because the default view is last week and that is how people end up quoting the wrong number as their total. I did exactly that twice.
Eight forum threads produced that +58. Every comment I have ever written on this site produced +48. So a thread pays roughly 7 KP and a comment pays roughly 0.74, and one thread is worth about eight comments.
Seeing more AI products move beyond chat into execution: browser agents completing transactions, cloud agents opening pull requests, and analysts generating ready-to-share reports.
The demos are increasingly convincing. The harder question is whether these agents remain dependable when the workflow becomes ambiguous, permissions change, or a step fails midway.
When evaluating an agent, what matters most to you: successful completion, visibility into each action, or the ability to review and recover from mistakes?
Trying to get a read on the real-world stack. Vote for what you use to personalize at scale. If you use a combo, pick your primary and drop details in the comments.
Once a product launches on PH, most of us obsess over upvotes and comments but increasingly, people are discovering products through AI chat answers, not just search or PH itself.
Curious if any founders/marketers here are actively tracking how (or if) their product shows up when someone asks ChatGPT or Perplexity a relevant question. Is anyone doing this systematically, or is it still mostly guesswork?
I thought it might be useful for some to hear our experience launching on Product Hunt. How we prepared, what happened during launch day, and what results we re seeing five days in.
New week means a new chance to ship that product or feature that's been on your mind. It's easier said than done though. Drop what you're aiming to ship this week, get advice from others and let's check back in on Friday and see your progress
Looking for something that can track, in one dashboard:
Brand mentions and citations across ChatGPT, Gemini, Perplexity, Claude, and Google AI Overview
Keyword rankings and search volume, verified against live Google data
Competitor tracking with an actual threat score, not just "similar companies"
On-page/technical SEO audits with specific fixes, not vague advice
Backlink monitoring, including newly lost links
Review and sentiment tracking across platforms
A hallucination check, for when an AI says something wrong about the brand
Right now I'm running separate tools for SEO, social listening, and manually checking what ChatGPT says about us. It's slow and nothing talks to anything else.
Has anyone found a platform that does this end to end? Open to both known names and newer tools.
Everyone talks about automating the FANCY stuff, but the thing that actually gave me hours back was automating my weekly metrics screenshot for investors. Ten minutes every Monday, gone forever, took me a year to bother setting it up.
Not looking for tool promos, more curious about the task itself. What was your "why did I do this manually for so long" moment?
I strongly believe the first 1,000 users should be chosen for learning, not reach.
At this stage, raw signup volume can hide more than it reveals. What matters is whether users experience the problem often, try the product in real workflows, and give feedback that leads to better onboarding, positioning, and product decisions.