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An HTML endless runner under 900 lines without frameworks or libraries

Hacker News

An HTML endless runner under 900 lines without frameworks or libraries

My wife and I recently submitted to a mobile game jam on Newgrounds (yes, it's still around). What started as a question of whether we could do it somehow morphed into whether we could do without so many of the seemingly needless complications rampant in our respective industries. My wife thus did all the art as traditional frame-by-frame animation (no puppets or tweening) and I preceded without a game engine. I did use a pre-processor that gives JS a Lisp syntax (Parenscript), because C-syntax is gross. We hope the end result, while definitely of small scope, will serve to inspire some thought as to what is and isn't needed in your next project.

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Actual performance

16points
1comments
Made the leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: game engine, 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.
Indie HackersFits the IH revenue-focused audience · Strong signals: started, wife · Missing: supports, reddit linkedin, podcasting
68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos
50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
42%42% 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
36%36% 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
19%19% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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