Our "trojan horse" math puzzle game for smartphones

Hacker News

Available for iOS, Android and Windows Phone: http://numolition.com We've always felt that games should be fun first and educational second. With our previous game Quento (quento.com) we tried a slick, minimal game that focuses on challenging puzzles. But it was still quite obvious that you were doing math because you had to use operators to complete sums. With Numolition we tried a different strategy by using cute artwork and investing more time in creating a theme around the core gameplay that makes the game look more like "real" games. You're still doing math, but you're less aware of it. Kind of like a trojan horse ;-) We hope kids and adults alike will enjoy the challenging puzzles while improving their math skills at the same time :) Have a go, introduce it to the kids in your life, and let us know how it went! Thanks, the Numolition team

Visit product View on Hacker NewsMar 7, 2014

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

83%83% 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.

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

52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

51%51% 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

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

37%37% 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

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: introduce, smart · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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