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).
Q UB
A minimalist browser reflex game that gets brutal fast
I built QUB over a few weekends because I wanted a browser game that felt genuinely difficult without being unfair. Something you could pick up quickly and access from anywhere.
The design direction voluntarily clean and minimalistic. The sci-fi narrative layer emerged later, I was seeking an eery feeling.
The premise is that if you get past level 30 you probably have cat-like reflexes.
Would love to hear your brutally honest feedback and how far you got. My next venture is to add sound-design to it for greater immersiveness.
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About Q UB on Product Hunt
“A minimalist browser reflex game that gets brutal fast”
Q UB was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #160 on the daily leaderboard. Simple aesthetic universe combined with a simple gameplay designed to get brutal fast. Difficult to get past level 30.
Q UB was featured in Indie Games (7.2k followers), Games (98.8k followers) and Graphic Design (3.2k followers) on Product Hunt. Together, these topics include over 32.4k products, making this a competitive space to launch in.
Who hunted Q UB?
Q UB was hunted by Michele Cingolani. 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 Q UB stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Michele Cingolani