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).
WindowShift
Move windows between displays effortlessly on MacOS
WindowShift is a free, fast, and lightweight macOS utility that lets you move windows between displays using customizable keyboard shortcuts — even in full-screen mode. It automatically adapts to your monitor layout and offers multiple window resizing modes to preserve your workflow.
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About WindowShift on Product Hunt
“Move windows between displays effortlessly on MacOS”
WindowShift was submitted on Product Hunt and earned 0 upvotes and 0 comments, placing #286 on the daily leaderboard. WindowShift is a free, fast, and lightweight macOS utility that lets you move windows between displays using customizable keyboard shortcuts — even in full-screen mode. It automatically adapts to your monitor layout and offers multiple window resizing modes to preserve your workflow.
WindowShift was featured in Productivity (664.9k followers), User Experience (369.5k followers) and Menu Bar Apps (12.3k followers) on Product Hunt. Together, these topics include over 214.9k products, making this a competitive space to launch in.
Who hunted WindowShift?
WindowShift was hunted by Artem Mikhaylov. 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 WindowShift stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Artem Mikhaylov