AT4K Launcher - Apple TV inspired Launcher for Android TVs

Hacker News

Hi HN! I'm the developer of OffChess a Hackernews favorite Chess puzzles app. About 6 months ago I saw someone reviewing an Apple TV 4k on their youtube channel and it looked vastly superior in terms of UI and UX to what Android based Google TVs provide. I asked the people over at r/AndroidTV if someone has ported Apple TV experience to Android TV and they said no. So I built a makeshift video and posted on Reddit. People there loved it and started sending me Reddit chat messages every day to build and launch it. So it took me 3 months to solve all edge cases and I built and launched AT4K Launcher in January and people absolutely loved it. Since then BGR, Android Authority, Makeuseof and multiple tech websites have featured it as one of the best Android Launchers. Clean, fast, minimal, pretty, no accounts, no tracking, no monthly subscriptions, no internet required. Just you and your apps. With Live wallpaper, custom app icons, icon packs support and multiple ways to modify your home screen AT4K Launcher packs everything you need in a neat ui. Here is the play store link- https://play.google.com/store/apps/details?id=com.overdevs.a... Would love feedback, bug reports, or suggestions. Thanks!

Visit product View on Hacker NewsMay 28, 2026

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

97%97% 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: apple, google, apps · Missing: mac, agents, macos

65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: apps, video, month · Missing: mobile apps, ios, personal

45%45% 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

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

31%31% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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