Obama iOS App - My First iPhone Game

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My first iPhone/iPad game was just approved on the App Store. I've been a web and .NET guy for 10+ years and this is my first game in OpenGL and Objective-C. The transition from the C# world wasn't too bad. I started building the app for iPad and then adapted it for iPhone and iPhone 5. The aspect ratio differences meant that loading background images got a little trickier but the basic game play algorithms worked fine. The app was rejected at first as "crude/offensive" and it took a week to clear that up since it falls under the "political speech/satire" exception. It took another week to get my second rejection for "UI doesn't meet expectations." No one would tell me why but I think it was because my original buttons were translucent and the Apple HIG says to make buttons 3D and "touchable." Start to finish it was about 1 month from first upload to availabe on the app store. Let me know what you think. Democrats, Republicans and Independents should all enjoy the game. You can download Chief Chompers for Free here: https://itunes.apple.com/us/app/chief-chompers/id566462174?ls=1&mt=8

Visit product View on Hacker NewsOct 31, 2012

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

92%92% 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, open · Missing: mac, agents, macos

76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

75%75% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

39%39% 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

32%32% 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

20%20% 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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