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Wexi LoL is a free, open-source native macOS overlay for League of Legends. It provides augment ratings with win and pick rates, build and skill recommendations, objective timers, player scouting, adaptive layouts, and multilingual OCR. It never injects into League or reads game-process memory; screen recognition runs locally and screenshots are never saved or uploaded.
Hi Product Hunt! I built Wexi LoL because macOS League players do not have access to the same companion-overlay experience as Windows players. Wexi LoL is a free, open-source native Swift app with augment ratings, build and skill recommendations, objective timers, player scouting, adaptive overlay layouts, and multilingual OCR.
The app does not inject into League or read game-process memory. Screen recognition runs locally, and screenshots are never saved or uploaded.
Version 0.6.0 is the first public release. I would especially appreciate feedback from players using different Mac models, resolutions, languages, and regions. Which overlay feature would be most useful to you?
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About Wexi LoL on Product Hunt
“A native League of Legends overlay for macOS”
Wexi LoL was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #111 on the daily leaderboard. Wexi LoL is a free, open-source native macOS overlay for League of Legends. It provides augment ratings with win and pick rates, build and skill recommendations, objective timers, player scouting, adaptive layouts, and multilingual OCR. It never injects into League or reads game-process memory; screen recognition runs locally and screenshots are never saved or uploaded.
Wexi LoL was featured in Mac (103.8k followers), Open Source (69k followers), GitHub (41.4k followers) and Games (99k followers) on Product Hunt. Together, these topics include over 89.5k products, making this a competitive space to launch in.
Who hunted Wexi LoL?
Wexi LoL was hunted by Yi Fang. 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.
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Yi Fang