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A Minimalist Arcade Game

Hacker News

A Minimalist Arcade Game

3anglez is an HTML5 game that uses Phaser as the main game engine that handles the logic and rendering while Howler is used for the sound. It was ported to Android using Cordova as a container which can access the native API of an Android smartphone and Crosswalk that acts as the WebView rendering the WebGL context. Implementing Cordova plugins such as Notifications, Leaderboard, Analytics, was hard because they would always enter into conflict with each other and collapsed the whole game. After days of fixing, they now act nice with each other. The whole idea of this game was to provide hours of fun using only basic shapes. So I picked the polygon with the smallest number of sides (the triangle) and I build the entire world using it. The triangle is also responsible for the l33t style game name (3anglez). The gameplay is pretty simple. You have to avoid the spikes, the rocks and the enemies (they have some basic artificial intelligence and will try to kill you). Your job is to lure the enemies into the rocks in order to gain points that are used for upgrades. The controls are simple, tap anywhere on the screen and the player will follow you. The depth effect of the main game scene is created using 6 parallax layers. There is a slight tilt of 5 degrees present in the whole game that gives you a unique feel compared to other Android games (this feature was pretty hard to implement since I didn't change the camera angle but instead I tilted the sprites which required some pretty complex trigonometry). The color changing background helps you track your progress. You can try to challenge and defeat the leaderboard top players by getting a higher score! Here is a link where you can play this game: https://play.google.com/store/apps/details?id=com.inn3r.angl... If you have any questions post them in the comments and I'll try to answer them. Thanks for reading the whole post! PS: I can't say how many levels are there but you can try to finish them all :D!

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Actual performance

2points
Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Strong signals: created, para · Missing: supports, reddit linkedin, podcasting
94%94% 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: google, apps, context · Missing: mac, agents, macos
64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: apps, google, way · 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
41%41% 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, game engine, io · Missing: https docs, excited, just released
33%33% 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
13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: smart · 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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