This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Locoround flips social media on its head. Instead of following people, you follow places. π Tap any location on the map and see what people there are actually talking about: events, news, promotions, or just neighbourhood chatter. No algorithmic feed. No distant strangers. Just real-time, hyperlocal updates from the people who share your space. Create permanent "boards" for their location Post "flyers" for events that auto-expire based on popularity score. Know your neighbourhood. Finally.
Locoround was submitted on Product Hunt and earned 2 upvotes and 2 comments, placing #114 on the daily leaderboard. Locoround flips social media on its head. Instead of following people, you follow places. π Tap any location on the map and see what people there are actually talking about: events, news, promotions, or just neighbourhood chatter. No algorithmic feed. No distant strangers. Just real-time, hyperlocal updates from the people who share your space. Create permanent "boards" for their location Post "flyers" for events that auto-expire based on popularity score. Know your neighbourhood. Finally.
Who hunted Locoround?
Locoround was hunted by Matt Yu. A βhunterβ on Product Hunt is the community member who submits a product to the platform β 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 Locoround stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Matt Yu