My platforming game written in C 89

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I have been working on this game somewhat sparsely for the past three years or so. However, it is still in a very early stage, and there is a lot of work to do. One of my friends encouraged me to post about it here, since he felt people might find interesting how I don’t use any libraries for it. The game can be played on a browser by virtue of WebAssembly. There are native ports using either MiniFB or SDL2, but you have to build those yourself. I decided to write the game in C because I feel like it is a simple language that a lot of people can understand well enough, and I didn’t think I needed anything more involved or complicated. Over time, the game’s code became complicated, and I decided to use advanced features such as coroutines and higher order procedures, besides general overly engineered abstractions. But then, over time I grew to feel like a lot of those abstractions didn’t really add anything to it, and just made it more complicated (and oftentimes more buggy) than it really needed to be, so a few weeks ago, I made a significant refactoring to it to remove all of those abstractions without removing almost any features from the game. Milestones are released effectively whenever I get the game’s code to a decently presentable state. Sometimes, this means there are a lot of changes and big refactorings, but sometimes it means there are only a few small changes. The game uses a simple 2D model system to generate images for the character’s animations dynamically during initialisation. (The source code can be browsed using a web browser on its page.) The character can be controlled using the arrow keys or “WASD” (“A” and “D”) (double-tap a direction to jump).

Visit product View on Hacker NewsJul 7, 2023

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

91%91% 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

71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

70%70% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

15%15% 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.

Correct prediction on native model

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