Wallps: set different live wallpapers for macOS desktop and lock screen

Hacker News

macOS ties the lock screen to your desktop wallpaper, with no built-in option to set them separately. Wallps decouples the two, letting you choose one static image for the desktop and another for the lock screen, including live video wallpapers. What it does: - Set desktop and lock screen wallpapers independently - Use live wallpapers from local videos or Apple’s aerials - Run silently in the background as a menu bar app and automatically apply settings after a reboot - Open source, free, and compatible with macOS 13 and later Behind the scenes, the lock screen is rendered by `loginwindow` without third-party code. As a result, live lock screen video requires registering the clip as a system aerial in macOS 26 and re-encoding user videos with Apple’s temporal scalability scheme. This is the format expected by the stock wallpaper engine; videos without it freeze after the first unlock. demo: https://x.com/dipxsyy/status/2092845512722625007?s=20

Visit product View on Hacker NewsAug 27, 2026

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, macos, apple · Missing: agents, agent, cursor

89%89% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: para, including, compatible · Missing: supports, reddit linkedin, podcasting

81%81% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: video, para · Missing: mobile apps, ios, personal

58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: open source, ide, io · Missing: https docs, excited, just released

46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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