I built a tool that finds niche communities where your target customers actually hang out (free demo)
Hey IH,
I kept seeing the same pattern: founders launching solid products with no idea where to find their first users.
Apollo and HubSpot help you find companies. Nobody helps you find communities of people.
So I built NicheRadar.
How it works:
You describe your product and your ideal customer. The AI returns 8 real communities (subreddits, Discords, niche forums) with:
- Size and activity level
- Self-promotion rules
- Pain points members are actively discussing
- How founder-friendly each community is
Stack: Next.js + Claude Haiku 4.5. Cost per scan: ~$0.006.
I'm validating before adding payments. If this sounds useful, try the live demo (no signup needed):
https://radar-v2-theta.vercel.app
Feedback welcome — would you use this?
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Interesting idea. As a senior ERP, full-stack, AI integration, and automation engineer, I've seen many technically strong products struggle not because of the product itself, but because founders couldn't identify where their target users actually spend time. Most growth tools optimize for company discovery, while community discovery remains largely manual and fragmented. I especially like the focus on pain points and founder-friendliness rather than just community size. I'd be curious to see how well NicheRadar performs for highly specialized B2B and enterprise niches where traditional acquisition channels are expensive and slow.
Thanks for joining the waitlist — really appreciate it! And you nailed the diagnosis. Enterprise and specialized B2B niches are actually where NicheRadar tends to shine more — smaller communities but way higher signal-to-noise. Give it a try with something like "AI integration tools for ERP systems" + "senior engineers evaluating automation vendors" and see what surfaces. Would love your feedback on the results.
The self-promo and rule-check part is the hard bit, agreed. A raw list of subreddits or Discords is easy enough to generate, but founders usually stumble on the first post angle and get written off right away. With DictaFlow, we've found the useful filter is basically this: would the post still help the community if you deleted the product name? If you can match each community with that first useful angle, things get a lot more actionable.
Love that filter — "would this post still help if you deleted the product name?" That's exactly the intent behind the first_post_idea field we generate per community, but you're right that we could make it more explicit. Already baking it into the next prompt iteration. What does DictaFlow do, if you don't mind me asking?
Useful timing — we're building CurbBay, a marketplace for homeowners to rent unused garages/driveways. The hard part isn't listing automation, it's finding homeowners with latent inventory before they search for it.
I'd use this if it could surface local/homeowner communities (HOA boards, neighborhood forums, storage/parking groups) and include a suggested first non-spammy post angle. Happy to be a test case if you want one.
CurbBay is a great use case — hyperlocal community discovery is genuinely hard and underserved. Try it with something like "marketplace for unused parking and garage space" + "homeowners in suburban areas with unused driveways". Curious what surfaces. And yes, happy to use you as a test case — local/neighborhood communities is a real gap worth addressing properly.
The self-promotion rules part is probably the killer feature here. A list of communities is easy to generate; knowing whether you can actually show up without getting banned is what saves time. I’d maybe add a “first useful post idea” for each community.
Exactly — the list is the easy part, knowing the rules is what saves you from burning your reputation in the first post. The "first useful post idea" is going on the roadmap right now, that's a great call. Would make it actually actionable vs just informational.
The distinction between finding companies and finding communities is what caught my attention. A lot of early-stage founders know who they want to sell to but not where those people already gather. If the recommendations consistently surface places with active conversations instead of just large audiences, that feels like the real value rather than the AI itself.
That's the core bet. Big subreddits are often hostile to founders; a 12k-member niche forum with active daily threads is worth 10x more. The tool tries to score for activity and founder-friendliness already — but your framing is sharper than mine, I might steal it for the landing page.
Glad it resonated.
One distinction I keep coming back to is that audience size and distribution quality aren't the same thing.
A lot of founders optimize for where the most people are instead of where buying conversations are already happening. That changes how you evaluate almost every acquisition channel.