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Browser timers that float above your other windows

Hacker News

Browser timers that float above your other windows

Quick thing I made recently on Time Keep ( https://www.timekeep.cc ) that I'm excited to use: any timer, alarm, countdown, stopwatch, or sleep schedule can be popped out into its own little window and on Chrome/Edge it can be locked over others on your desktop. On Chrome and Edge it uses the Document Picture-in-Picture API so the window stays on top of everything else while you work. Pause from either window and the state stays in sync (BroadcastChannel turned out to be a good fit for this). Firefox and Safari just use a normal pop-up since neither has shipped Document PiP. On mobile it opens fullscreen in the current tab because phones don't really expose multi-window to the web. It also requests a wake lock so your screen doesn't fall asleep while a timer's counting down. That matters on a phone where the display would otherwise dim and lock. The use case that drove me to do this: I'm working, have to do something at X time coming up, and I want a countdown in my face, but it's off on my phone or behind other windows. Now it just sits in the corner where I want it. (There's also been a bunch of tweaks / new tools added since the last time I posted: a day planner, overlap zones, an "it's 5 o'clock somewhere" page ... for anyone who remembers the v1 HN Show post a month or so ago.)

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, open · Missing: mac, agents, macos
70%70% 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 · Missing: supports, reddit linkedin, podcasting
62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: month · Missing: mobile apps, ios, personal
53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: excited · Missing: https docs, just released, exist
36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
16%16% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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