How a young radiologist helps you boost your memory with an iOS game

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# Simon Says Game for iPhone®, iPad® and iPod touch® Thessaloniki, Greece — May 5th 2014 — Today we released Simon Says Game for iPhone®, iPad® and iPod touch®. Simon Says Game is maybe the next simplest game after some bird flapping it’s wings :) But there is catch: This time you have to use your brain, memory and …. your thumb! Four squares will blink is some random order! All you have to do is repeat the sequence! So simple,so easy...at the beginning because when you have to memorize the order of 20+ blinking and colorful squares, then things are getting pretty serious! ## Pricing and Availability Simon Says Game is available on the App Store for free. Yes, we don’t like ads too! Simon Says Game is designed for iPhone , iPad and iPod touch. Simon Says Game requires iOS 6.0 or newer. App Store Link: https://appsto.re/gr/Fe_1Z.i Have fun!

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

73%73% 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: apps, new · Missing: mac, agents, macos

58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

53%53% 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

34%34% predicted probability of success on AppSumo, 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

25%25% 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

22%22% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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