I made a mobile game using HTML5 with Ionic

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Hey all, I wanted to share a recent weekend project I worked on. A few months ago, I discovered Ionic and I absolutely love it. https://ionicframework.com/ I’m not convinced I could build an “enterprise” app with it but for little personal throw away projects, I think it’s great. For anyone not familiar with it, it basically wraps a native app around a webview and provides a bunch of css to make the app feel more native. I built a little mobile app with it last month but I got especially excited by the idea of making a mobile game. I just threw in an HTML canvas element and I was successfully able to build a short game. What’s great is UI is also pretty easy to add with HTML. Over all it took me roughly 2 days to make a small mobile game which I’m counting as a success. Link for anyone interested in the game: https://apps.apple.com/gb/app/cluckeroo/id161543070

Visit product View on Hacker NewsMar 24, 2022

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Product HuntOn track for Day 1 leaderboard · Strong signals: apple, apps, using · Missing: mac, agents, macos

84%84% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

83%83% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

68%68% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

18%18% 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.

Incorrect prediction on native model

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