Ocean Commotion (iPad, real multitouch)

Hacker News

I am a casual gamer and was disappointed that almost every iOS game has the feel of an old flash game that just uses touch instead of a mouse click. Real multi touch games are few and far between. That is why I put together Ocean Commotion. Take a look and enjoy it. I made it free for the next two weeks so that people here can give me some input. If you like it, please leave feedback in the app store. I admit that I only use up to 6 touch points instead of the 11 possible on iOS, but I feel like it takes advantage of the platform in a way that most games don't. You can find the game either with the link below, or search by name in the app store. I am looking for both feedback on the game, and advice on how to market this. My wife considers writing iOS games to be "buying lottery tickets" and I am not sure how to best advertise to improve sales. https://itunes.apple.com/us/app/ocean-commotion/id518629974?ls=1&mt=8

Visit product View on Hacker NewsAug 28, 2014

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Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: wife, 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 · Missing: mac, agents, macos

61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews

44%44% predicted probability of success on AppSumo, 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

35%35% 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

18%18% 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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remove CO2 from the ocean

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