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NicheRadar

Find where your niche customers actually hang out

SaaS
Artificial Intelligence
Social media marketing
Visit WebsiteSee on Product Hunt

Hunted byDani ViñuelaDani Viñuela

NicheRadar solves a problem every indie hacker hits: you know WHO your customer is but not WHERE to find them online. You describe your product and ideal customer in plain English. NicheRadar returns a ranked list of Reddit subreddits, Discord servers, Slack groups, and forums — with member counts, activity levels, promo rules, and a suggested first post for each community. Built in a weekend with Next.js + Claude AI. Free to try (1 scan, no signup).

Top comment

Hey PH! I'm Dani, the maker behind NicheRadar. The idea came from my own frustration: I'd build something, then spend days guessing WHERE to share it. Reddit? Discord? Which subreddit? Which server? I kept posting in the wrong places and getting zero traction. So I built NicheRadar — describe your product and target customer in plain English, get a ranked list of communities (subreddits, Discord servers, forums) with member counts, activity levels, promo rules, and a suggested first post for each. Built in a weekend with Next.js + Claude AI. Free to try (1 scan, no signup). Would love your feedback!

Comment highlights

how does it handle bigger communities, like the huge default subs where the promo rules are super strict or mods basically insta-delete anything that looks like a plug?

The subreddit suggestions actually matched my niche surprisingly well, and the promo rules for each one saved me from probably getting banned in a couple places. Solid weekend build.

the suggested first post idea was honestly the most useful part, saved me from that awkward blank page when joining a new subreddit. member counts and activity levels next to each community made it easy to skip the dead ones too.

The suggested first post for each community is such a thoughtful touch, it skips that awkward moment of figuring out how to introduce yourself without sounding salesy.

How accurate is the promo rules detection, like is it actually reading each subreddit's sidebar or doing something shakier under the hood?

What's coming next (based on feedback from Indie Hackers):

  • Confidence scores per community (verified data vs AI estimate)

  • Live posts from each community about YOUR problem space

  • Community Monitor: weekly trend emails per saved community

About NicheRadar on Product Hunt

Find where your niche customers actually hang out

NicheRadar was submitted on Product Hunt and earned 4 upvotes and 7 comments, placing #148 on the daily leaderboard. NicheRadar solves a problem every indie hacker hits: you know WHO your customer is but not WHERE to find them online. You describe your product and ideal customer in plain English. NicheRadar returns a ranked list of Reddit subreddits, Discord servers, Slack groups, and forums — with member counts, activity levels, promo rules, and a suggested first post for each community. Built in a weekend with Next.js + Claude AI. Free to try (1 scan, no signup).

NicheRadar was featured in SaaS (43k followers), Artificial Intelligence (473.1k followers) and Social media marketing (6k followers) on Product Hunt. Together, these topics include over 156k products, making this a competitive space to launch in.

Who hunted NicheRadar?

NicheRadar was hunted by Dani Viñuela. 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 NicheRadar stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.