Quake 1 ported to the Apple Watch

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I ported Quake 1 to the Apple Watch, building on top of existing ports for iOS and Mac. Some features: * uses Quake SW renderer + blitting to WatchKit surface (~60 fps, 640x480, larger res can run on lower framerate, tested up until 1024x768) * touch + gyro + digital crown controls * new AVFoundation audio backend (quake to Watchkit audio buffer copy logic), as Watchkit does not support CoreAudio * high pass audio filter to remove clicking on Watch speaker for some of the low frequency quake .wav samples * some smaller modifications and code updates to glue Quake 1 c code to Objective C and Watchkit https://www.youtube.com/watch?v=cPC2o262TfQ

Visit product View on Hacker NewsSep 7, 2022

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72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, io · Missing: https docs, excited, just released

53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

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