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Math Shooting – A game to improve in Math (SUS2018)

Hacker News

Math Shooting – A game to improve in Math (SUS2018)

We are one of the companies participating in Start Up School [0] We make edutainment action games. Our first game is a shooter that employs simple math as the main mechanic. Our objective is to make a fun, fast paced game that can be beaten only by improving your math skills. We launched our first prototype in the Google Play Store[1] and would like to know what you think. Any thoughtful criticism is welcome. And before you say it: we picked a shooter (hence the icon on the Play Store) as an experiment, but based on the feedback we are thinking on changing the graphics or switching to a fantasy style game. We want to know if you feel challenged by the game (even though right now it's really barebone), I sure feel like I should polish off my math skills! We have a ton of ideas for improving the gameplay, for example: * Arcade style mode, think tetris, never ending game with increasing difficulty and highscores * Multiplayer mode where you challenge your friends * New skins, weapons, enemies and maps as the player levels up * Different monetization strategies * and others... Please let us know what you think! Thanks [0] https://www.startupschool.org [1] https://play.google.com/store/apps/details?id=com.MathShooti...

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3points
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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
76%76% 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: apps, google · Missing: mobile apps, ios, personal
52%52% 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
45%45% 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, new · Missing: mac, agents, macos
40%40% predicted probability of success on Product Hunt, 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
34%34% 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
17%17% 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.

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