Threddr

Threddr

Find Reddit users who actually need your product

20 followers

Tired of scrolling Reddit for hours to find people who need what you built? Threddr does it for you. It finds high-intent posts, writes reply drafts, and helps you engage naturally- so you spend less time hunting and more time building.
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Threddr gallery image
Threddr gallery image
Threddr gallery image
Threddr gallery image
Free Options
Launch Team / Built With
AppSignal
AppSignal
Built for dev teams, not Fortune 500s.
Promoted

What do you think? …

Harvansh Chaudhary
Hey Product Hunt fam! 👋 Harvansh here. So, you know that feeling? You're a solo maker, up late, scrolling Reddit forever, just hoping to find someone who actually needs your product. It’s a total time-sink and honestly, super frustrating. I figured there had to be a less painful way to find people who are already looking for what we build. So I created Threddr. Basically, Threddr does the Reddit hunting for you. It's pretty smart about finding posts where folks are genuinely asking for something like what you offer. ✅It finds the good stuff: Threddr has a knack for spotting when someone is looking for a solution, not just talking casually. Automatically filter out low-quality posts, spam, and irrelevant content. So you don’t waste your time. ✅Helps you reply like a human: Then, it gives you a hand to write back in a way that’s actually helpful and doesn’t sound like a sales pitch. The idea is to just have a normal chat and help people out, which can lead to them becoming your first users. ✅Gives you back your time: The best part? It saves you a bunch of hours every week. No more endless scrolling. You can spend that time on your product instead! I built this because I was tired of searching and wanted something simple that just works for people like us – indie hackers and founders. It looks for people talking about their problems, asking for recommendations, or even griping about other tools (which can be your cue!). If you're trying to get those first customers without losing your mind scrolling Reddit, I’d love for you to give Threddr a try. Let me know what you think or any ideas you have to make it better. 🎉Let's make finding users easier! 🚀
Konrad S.

Looks like a good solution!

How does it compare to similar tools like Hearfluence and Redreach?

Harvansh Chaudhary

@konrad_sx 

Appreciate you checking it out 🙌

To be honest, I’m just a solo indie maker (engineers call us Vibe Coders😃) who built this purely out of my own need, problem > idea > built > launched. I wasn’t even aware of Hearfluence or Redreach until now, i didn't even think of researching competitors (thanks for sharing btw, I'm going to explore them).

This started as a scrappy weekend project, and I'm just trying to make it a bit better every day based on real feedback like yours. Not claiming it's the best, but it’s mine and it works well for my use case, especially for indie makers and solo founders who are just starting out and running on a tight budget.

Would love to hear what you look for in tools like these, it will help me improve it in the right direction.

Konrad S.

@harvanshchaudhary Thanks for your answer. I did try Hearfluence and it's surely not perfect, I think your tool may have advantages, will try it when I have time.

Harvansh Chaudhary
@konrad_sx Sure, try it out. Would love your feedback to always improve.
Alex Lou

Been trying to find automation tool for connecting with purchase signals on Reddit. Will give this a try!

Out of curiosity, was the tool built on top of V0? If yes, how did you manage the backend integration? Thanks!

Harvansh Chaudhary
@fullstack_x Thanks Alex. well yeah, I built it on top of v0. I am using GitHub for versions directly from v0, and supabse to handle the database backend like storing filtered posts, ai generated, posted replies to reddit(currently posting of replies is manually).
Alex Lou

@harvanshchaudhary Amazing. May the vibe be with you!

Harvansh Chaudhary
@fullstack_x and yeah currently I am doing filteration based on keywords which is quite limiting and might miss real leads where users are not really mentioning the exact or little related keywords. so, I have already started working on an approach ot filter posts based on semantic similarity, intent and sentiment. Most probably will push this update in next week. any suggestions to make it more robust?? Users are the only devs which can refine these types of products based on needs. this was what I built based on my needs.
Harvansh Chaudhary
@fullstack_x Thanks, means a lot.