iCloud Indicator, or My First Open Source Project

Hacker News

I open sourced a UI element that I built for my first recently launched iPhone game. It can be used to show that there is a game in the iCloud that can be resumed and supports user interaction for resuming and removing the game. The actual logic to do that is not part of this UI element. I think more game developers could leverage the power of iCloud. It would allow them to offer a better experience to their players, where their progress in the game is shared between all their devices. I wanted to do that for my game and now want to encourage fellow developers by sharing my modest contribution. A video demo of the iCloud Indicator can be found here: http://www.youtube.com/watch?v=XkDcUqfnWOM.

Visit product View on Hacker NewsApr 16, 2012

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, open · Missing: mac, agents, macos

80%80% 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: supports · Missing: reddit linkedin, podcasting, created

69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

50%50% 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

50%50% 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

37%37% 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

11%11% 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.

Correct prediction on native model

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