First Touch friendly Platformer

Hacker News

No one enjoys virtual controls for a platformer.My game "Rubber Boy" tries to solve this by using only touch gestures to control. https://play.google.com/store/apps/details?id=com.solvevolve.flubber Basically, flick to jump and tap to stop. Personally I find this scheme much more practical and I have been able to go through some tough levels easily. I tried my best to incorporate most challenging and interesting levels only. https://www.youtube.com/watch?v=mVlA2HBsT1Y I am planning on open sourcing the code sometime soon( let me know if you would be interested). The game has no Ads, no IAPs its completely free (The network permission is to log level finishes). P.S. I am looking to get into the gaming industry. Let me know if you can help me.

Visit product View on Hacker NewsJun 13, 2014

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Actual performance

2points

2comments

Did not reach leaderboard

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

61%61% 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.

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

45%45% 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: personal, apps, google · Missing: mobile apps, ios, entrepreneurs

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

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

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: google, apps, using · Missing: mac, agents, macos

33%33% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

14%14% 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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Indie Hackerscommitment-side-project

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