Mini Metroidvania in 13KB of JavaScript

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As part of the annual JS13K games challenge, I've put together a pretty large (but small-in-code) Metroidvania game that fits in just 13KB of compressed Javascript. The source is available here: https://github.com/arikwex/infernal-sigil NOTE: the current head of the main branch is at 13.6KB due to quality of life patches. The legit 13KB version is tagged in github. Useful hacks: - Using Roadroller ( https://github.com/lifthrasiir/roadroller ) for compression - Compressing the map data as grayscale PNG paired with some code generation. - Using procedural animation for all characters. - Replacing string enum with numeric enums for compression. - Built a small game engine for object lifecycle and rendering. - Single function to generate unique procedural songs for different regions.

Visit product View on Hacker NewsSep 13, 2022

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

67%67% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

61%61% predicted probability of success on Product Hunt, 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.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

14%14% 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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