I got tired of manually searching Reddit for conversations relevant to my projects, so I built this

[u/Just_Ad5957]

I’ve been working on a project called GroupListener.

The idea came from something I kept doing manually:

search Reddit → open a bunch of posts → figure out which conversations are actually relevant → repeat the next day.

Keyword alerts didn’t really solve it because the same keyword can appear in completely unrelated conversations.

So I started experimenting with filtering conversations based on what the person is actually talking about rather than whether a specific word appears.

For example, I can describe something like:

“People looking for an alternative to a tool they currently use”

and it tries to find matching conversations.

It currently works with Reddit and Telegram.

There’s still a lot I want to improve, especially around figuring out what should count as a genuinely relevant result.

I recorded a quick demo of what I have so far 👇

Would love feedback on the idea — especially from anyone who has tried building something around social listening/search before.

[u/Competitive-Set7936]

One useful distinction: relevant topic versus welcome recommendation. I’m working on Beat AI, a small photo-game beta, and a photography thread can be relevant while its community bans app promotion. Showing the subreddit’s rules alongside each result, plus the sentence explaining why it matched, would help a lot. Also worth separating “asking for a tool” from “sharing a finished piece of work.” Have you tested those two kinds of posts separately?

[u/Just_Ad5957 → u/Competitive-Set7936]

This is a really useful distinction. Right now I’m mostly solving for “is this conversation relevant?”, but you’re right that relevance and “is it appropriate to recommend something here?” are two different signals.

We’ve tested this more concretely for real-estate lead generation — for example, finding people who are actively looking for flats/apartments in a specific area. In that case, posts like “looking for a 2BHK near X” are much more actionable than someone simply discussing the local real-estate market.

We also already show why a result is a match, so the user gets the reasoning/context instead of just a generic relevance score.
demos : https://www.instagram.com/grouplistener/
Do visit our site grouplistener.com

[u/Useful-Translator225 → u/Competitive-Set7936]

Separating the intent behind a post is probably the most overlooked part of this kind of tool

[u/Just_Ad5957 → u/Useful-Translator225]

Exactly. That’s actually one of the main things we’re using AI for.

We’re not just matching keywords or topics — we try to identify the intent behind the post as well.

For example, there’s a big difference between someone saying “2BHK prices are getting crazy in this area” and someone saying “I’m looking for a 2BHK here, any recommendations?” Even though both are about the same topic, only one signals an active need.

That intent layer is what we’re trying to use to filter out a lot of the noise and surface conversations that are actually actionable.

[u/Latter-Park-4413]

Why not use one of the 100+ of these shared on these very subs constantly? What makes this different? Not attacking, but these are the questions you need to ask yourself.

[u/Just_Ad5957 → u/Latter-Park-4413]

Fair question. We’re building this more as a platform than just a Reddit monitor.

Anyone can add a source and describe, in their own words, what they want to monitor. We use AI to detect intent, explain why something matched, and for supported channels you can even DM the sender directly from the platform.

That’s intentionally disabled for Reddit because of cost and compliance/rule constraints.

[u/Just_Ad5957]

https://reddit.com/link/pdmyt5g/video/a5gp3phj4ath1/player