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RealNear
Nearby places ranked by quality score, not ads
Find the best nearby spots — ranked by quality and walking distance, not ads.
Top comment
I built this because Google Maps kept surfacing paid spots and review-gamed chains. RealNear uses a Bayesian-adjusted rating combined with distance decay (RealScore) to rank nearby restaurants, cafés, and bars. No account needed, no ads, works as a PWA on mobile. Built with plain HTML/JS frontend and FastAPI on Cloud Run. Happy to discuss the ranking algorithm or anything else.
About RealNear on Product Hunt
“Nearby places ranked by quality score, not ads”
RealNear was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #150 on the daily leaderboard. Find the best nearby spots — ranked by quality and walking distance, not ads.
On the analytics side, RealNear competes within Maps — topics that collectively have 12.9k followers on Product Hunt. The dashboard above tracks how RealNear performed against the three products that launched closest to it on the same day.
Who hunted RealNear?
RealNear was hunted by Ramon Fried. 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.
For a complete overview of RealNear including community comment highlights and product details, visit the product overview.