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WinMice
Windows-style mouse on MacOS, middle-click scroll and more
WinMice is a tiny native macOS menu-bar app for Windows-style middle-click vector scrolling (autoscroll) and configurable back/forward mouse side buttons. Swift and AppKit, about 600 KB, no Electron. Developer ID signed and notarized.
WinMice is a native macOS menu-bar utility that restores two mouse behaviors Windows users miss on a Mac. Middle-click anywhere and move the pointer to scroll by direction and distance, the way autoscroll works on Windows. Map your mouse's side buttons to back and forward so they navigate in Finder, Preview, and every other app, not just browsers.
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About WinMice on Product Hunt
“Windows-style mouse on MacOS, middle-click scroll and more”
WinMice was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #25 on the daily leaderboard. WinMice is a tiny native macOS menu-bar app for Windows-style middle-click vector scrolling (autoscroll) and configurable back/forward mouse side buttons. Swift and AppKit, about 600 KB, no Electron. Developer ID signed and notarized.
WinMice was featured in Productivity (659.8k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 186k products, making this a competitive space to launch in.
Who hunted WinMice?
WinMice was hunted by Anibal Ribeiro. 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 WinMice stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Anibal Ribeiro