We monitor Reddit, X, LinkedIn and more in real time to find the conversations with real buyer intent, so you can join, help, and convert. Increase your online presence effortlesly.
Hello Product Hunt! I’m Guillermo Bascuñana, SaaS founder and indie hacker. This is my 3rd product launch here!
And if you are in a similar position as I am, you've grinded your way through Reddit posts and X groups trying to get people to notice your product.
Over the years I learned that potential customers often discuss their problems online, but finding those conversations felt like searching for a needle in a haystack. I tried tools (which there are quite a few) hoping they'd catch those leads, but they only monitored keywords. The result is lots of noise and mediocre matches. Barely relevant.
So I found myself spending hours manually scouring Reddit threads, refreshing my X feed, and digging through LinkedIn. I’d jump between browser tabs like a mad scientist, hunting down that one relevant question. It was an endless game of hide-and-seek with leads, with horrible ROI, and I knew there had to be a smarter way.
One late night, it clicked. Instead of waiting for random keyword alerts, what if I proactively ran targeted searches across actual posts? If an AI could read and understand entire conversations, it could spot the real questions in context.
Enter ConvoHunter. I built it using retrieval-augmented generation (RAG) agents to analyze posts in real-time across the most relevant subreddits and communities. Instead of alerting me to every mention of a keyword, the AI reads entire threads, picks out the high-intent discussions, and notifies me. It’s like having an always-on research assistant that only flags the juiciest conversations.
What started as my private lead-generation hack quickly became a product I love. By joining those high-intent conversations just as people needed solutions, I’ve closed customers organically. ConvoHunter has turned dozens of random chats into real leads — and helped me grow my business by being in the right place at the right time.
I’m excited to share ConvoHunter with the Product Hunt community today. You can try it for FREE and judge the results yourself. And if you need assistance of any kind, I will be on top of my inbox to help you out.
Any questions, feedback or suggestions is greatly appreciated!
@indiemiguel Thanks! That’s exactly the pain I built it around
Right now it works best for SaaS and B2B-style products, since the AI is tuned to detect problem/solution patterns and buying intent. B2C also works, but I’m still refining it so results keep improving.
Appreciate the upvote, and if you try it, I’d love any feedback on your use case.
Best of luck!
Report
Hi, congrats on the launch. I've seen similar tools, none of them have ever worked too well for me. What makes yours different, is there a way to check the results before subscribing?
@tobias12 Most of them just do keyword matching and hope something relevant pops up. That’s exactly why I built this.
The difference is that ConvoHunter actually reads the conversation and decides whether the person is describing a pain your product solves. Keywords are not even a thing here.
And yes, you can check everything before committing. There’s a 3-day free trial where you can see all the results, test your niche, and decide if it’s useful for you.
Report
Congrats on the launch! The shift from keyword monitoring to actually understanding conversation context feels like a real breakthrough for founders trying to find high-intent discussions. What was the hardest part of getting the RAG agents to reliably filter out noise?
@vik_sh Thanks! 🙌 Honestly, the hardest part wasn’t the RAG pipeline itself, it was teaching the agents what “noise” actually means for founders.
A few things were tricky:
Threads often drift, so separating the core ask from the commentary required multiple passes.
Early versions flagged way too much as relevant. Calming the agent down was half the battle. And, detecting when a conversation is actually for your niche vs. someone else’s.
Once I combined structured signals (your product’s pain-points) + unstructured inference (conversation meaning), the noise dropped dramatically.
Still iterating, still has it's complete slop moments, but it’s night and day compared to keyword monitoring.
Best of luck!
Report
very interesting I like it what conversion rate have you had so far?
@pasha_tseluyko Thank you! During the onboarding it decides 15-25 relevant subreddits to monitor. On top of that there are scheduled jobs that search through posts subreddit-independent. This last one made the results quite different from other tools and really made me feel like the tool was worth continuing to work on.
Report
Congrats on the launch! I believe there is market for this and the landing looks sleek. Good luck!
Failping
Hello Product Hunt! I’m Guillermo Bascuñana, SaaS founder and indie hacker. This is my 3rd product launch here!
And if you are in a similar position as I am, you've grinded your way through Reddit posts and X groups trying to get people to notice your product.
Over the years I learned that potential customers often discuss their problems online, but finding those conversations felt like searching for a needle in a haystack. I tried tools (which there are quite a few) hoping they'd catch those leads, but they only monitored keywords. The result is lots of noise and mediocre matches. Barely relevant.
So I found myself spending hours manually scouring Reddit threads, refreshing my X feed, and digging through LinkedIn. I’d jump between browser tabs like a mad scientist, hunting down that one relevant question. It was an endless game of hide-and-seek with leads, with horrible ROI, and I knew there had to be a smarter way.
One late night, it clicked. Instead of waiting for random keyword alerts, what if I proactively ran targeted searches across actual posts? If an AI could read and understand entire conversations, it could spot the real questions in context.
Enter ConvoHunter. I built it using retrieval-augmented generation (RAG) agents to analyze posts in real-time across the most relevant subreddits and communities. Instead of alerting me to every mention of a keyword, the AI reads entire threads, picks out the high-intent discussions, and notifies me. It’s like having an always-on research assistant that only flags the juiciest conversations.
What started as my private lead-generation hack quickly became a product I love. By joining those high-intent conversations just as people needed solutions, I’ve closed customers organically. ConvoHunter has turned dozens of random chats into real leads — and helped me grow my business by being in the right place at the right time.
I’m excited to share ConvoHunter with the Product Hunt community today. You can try it for FREE and judge the results yourself. And if you need assistance of any kind, I will be on top of my inbox to help you out.
Any questions, feedback or suggestions is greatly appreciated!
Thank you for your time,
Guillermo
MultiDrive
@guillermo_bascunana The most sincere conversations happen on X and Reddit — nice idea for a tool!
Failping
@tetiana_hryshmanovska Thank you Tetiana! It has been the growth source for my previous projects.
Best regards!
Oh nice, this could be really useful. Finding the right conversations to jump into is honestly the hardest part.
Is this more geared towards B2B (finding leads, industry discussions) or does it work well for B2C too (like indie apps, consumer products)?
Upvoted - Might give it a shot!
Failping
@indiemiguel Thanks! That’s exactly the pain I built it around
Right now it works best for SaaS and B2B-style products, since the AI is tuned to detect problem/solution patterns and buying intent.
B2C also works, but I’m still refining it so results keep improving.
Appreciate the upvote, and if you try it, I’d love any feedback on your use case.
Best of luck!
Hi, congrats on the launch. I've seen similar tools, none of them have ever worked too well for me. What makes yours different, is there a way to check the results before subscribing?
Failping
@tobias12
Most of them just do keyword matching and hope something relevant pops up. That’s exactly why I built this.
The difference is that ConvoHunter actually reads the conversation and decides whether the person is describing a pain your product solves. Keywords are not even a thing here.
And yes, you can check everything before committing.
There’s a 3-day free trial where you can see all the results, test your niche, and decide if it’s useful for you.
Congrats on the launch! The shift from keyword monitoring to actually understanding conversation context feels like a real breakthrough for founders trying to find high-intent discussions. What was the hardest part of getting the RAG agents to reliably filter out noise?
Failping
@vik_sh
Thanks! 🙌
Honestly, the hardest part wasn’t the RAG pipeline itself, it was teaching the agents what “noise” actually means for founders.
A few things were tricky:
Threads often drift, so separating the core ask from the commentary required multiple passes.
Early versions flagged way too much as relevant. Calming the agent down was half the battle. And, detecting when a conversation is actually for your niche vs. someone else’s.
Once I combined structured signals (your product’s pain-points) + unstructured inference (conversation meaning), the noise dropped dramatically.
Still iterating, still has it's complete slop moments, but it’s night and day compared to keyword monitoring.
Best of luck!
very interesting I like it what conversion rate have you had so far?
Failping
@sofisofieverly
Thank you! From trial tu subscription it's at 25%
Idea is very awesome🔥 How do you actually source right subreddits??
Failping
@pasha_tseluyko Thank you!
During the onboarding it decides 15-25 relevant subreddits to monitor. On top of that there are scheduled jobs that search through posts subreddit-independent. This last one made the results quite different from other tools and really made me feel like the tool was worth continuing to work on.
Congrats on the launch! I believe there is market for this and the landing looks sleek. Good luck!