CommunityTracker.ai is the Community Intelligence Platform that helps teams monitor Reddit, Twitter, Slack, LinkedIn and more — finding high-intent conversations and turning community signals into actions.
Hey PH community -
I'm Adarsh, founder of CommunityTracker.
Here's the problem I kept running into while talking to B2B SaaS founders:
They had a content calendar. A LinkedIn strategy. An SEO plan. A cold email sequence.
And still, their pipeline was quiet.
Not because the product was bad. Not because the content was poor.
Because the buyers were having conversations somewhere else entirely.
On Reddit, asking which tools their peers actually use.
In Slack communities, comparing alternatives.
On LinkedIn, commenting on threads the founder never saw.
And the brand? Completely absent from all of it.
While competitors were getting mentioned, recommended, and shortlisted, in conversations that never showed up in anyone's analytics.
That's the gap we built CommunityTracker to close.
It gives tracks buying signals across Reddit, LinkedIn, Slack, Twitter, Discord Hacker News, Indie Hackers and more communities and tells you exactly where you're invisible, where competitors are winning, and what to do about it this week.
We just launched the Intelligence Hub, its like ChatGPT, but it only answers from your own community data.
Ask it:
— "What topics are my competitors winning on that I haven't covered?"
— "Which community should I post in this week?"
— "What are buyers in my category complaining about right now?"
Every answer is backed by real mentions. Not generic internet knowledge. Your actual market.
PH deal: 30% off Pro for 3 months with code PRODUCTHUNT30 — valid this week only.
If you've ever published content consistently and still wondered whether anyone in your market actually sees you — this was built for that feeling.
Would love your honest feedback.
— Adarsh
that looks cool! i think one thing would be interesting - can you resubmit the same situation later to see if the verdict changes as your channel grows?
That action item things got my interest. I remember doing Slack social listening during my time at Content Beta. For most mentions I used to share short&simple response. But some very direct post like asking for recommendations, that's where I used to get confused. Should I shamelessly promote CB or what.
I like what you're doing with this feature, I guess this gives a direction on what to respond with.
While building this, we kept running into the same problem—teams were putting in effort across content, outreach, and campaigns, but still missing where real customer conversations were happening.
CommunityTracker is built to solve that by surfacing high-intent discussions across communities and turning them into actionable insights.
Instead of guessing what your audience wants, you can actually see what they’re already talking about.
I built this because I kept seeing the same problem over and over: communities generate an incredible amount of valuable feedback, but most teams struggle to actually use it well.
A founder might have users chatting in a Slack group, posting feature requests in a forum, sharing frustrations in comments, and asking questions across different channels. The signal is there — but it’s scattered, noisy, and easy to miss.
So the result is usually one of two things:
someone manually reads everything and spends hours trying to summarize it, or
A simple example: let’s say a product team has hundreds of community conversations happening every week. Instead of digging through them one by one, they can use CommunityTracker.ai to spot repeated pain points, common feature requests, sentiment trends, and the topics that keep coming up.
That makes it useful for a few different teams:
Founders, who want a fast pulse on what users actually care about
Product teams, who want recurring feedback and roadmap signals
Community managers, who want to understand what members are discussing at scale
Support and ops teams, who want to catch common issues earlier
The big idea is simple: communities shouldn’t just be places where conversations happen — they should also be a source of structured insight.
Would love to hear how you’d use something like this, and what kinds of community insights would be most valuable for your team.
Quick maker note:
CommunityTracker.ai is most useful when your team already knows buyers are talking online, but those conversations are scattered across too many places to track manually.
We built it to help teams catch those discussions earlier, filter noise, and act on the ones that actually matter.
Curious to hear from people here: Which community creates the best buying signals for you today?
About CommunityTracker on Product Hunt
“See where your brand appears across Reddit, LinkedIn & Slack”
CommunityTracker was submitted on Product Hunt and earned 21 upvotes and 11 comments, placing #43 on the daily leaderboard. CommunityTracker.ai is the Community Intelligence Platform that helps teams monitor Reddit, Twitter, Slack, LinkedIn and more — finding high-intent conversations and turning community signals into actions.
CommunityTracker was featured in Social Media (88.8k followers) and Social media marketing (5.8k followers) on Product Hunt. Together, these topics include over 22k products, making this a competitive space to launch in.
Who hunted CommunityTracker?
CommunityTracker was hunted by Adarsh Kumar. 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.
Want to see how CommunityTracker stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Adarsh Kumar