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).
UP9F is a threaded discussion platform built for depth over distraction. Share text, images, code, audio, and location-tagged moments in conversations up to nine floors deep.
A good post is certainly good, but if a good post comes with good comments and good replies, forming a deep discussion thread, wouldn't that be even better? In the UP9F APP, discussions start from a root node post, different comments form different threads, and replying to comments creates higher-level threads, kind of like building a house, with a maximum of 9 floors.
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About UP9F on Product Hunt
“Threaded Discussions, Done Right”
UP9F was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #104 on the daily leaderboard. UP9F is a threaded discussion platform built for depth over distraction. Share text, images, code, audio, and location-tagged moments in conversations up to nine floors deep.
UP9F was featured in News (36.9k followers), Social Media (89.2k followers) and Community (3.1k followers) on Product Hunt. Together, these topics include over 34k products, making this a competitive space to launch in.
Who hunted UP9F?
UP9F was hunted by Michael Hoo. 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 UP9F stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Michael Hoo