Festive WebGL object rotation game

Hacker News

Hi all! This is a festive edition of an object rotation game I had made which got picked up by some online newsletters and found some audience, so a special version with some major tweaks was required. It is yet another outing of the JavaScript renderer also used in https://luduxia.com/showdown and https://luduxia.com/reversi with some major updates that improve overall precision while removing support for some ancient Android devices. I also recently released a hacked up prototype WebRTC SFU https://github.com/atomirex/umbrella and this isn't entirely unrelated. In any case, happy holidays and I hope you enjoy it!

Visit product View on Hacker NewsDec 12, 2024

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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

49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

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

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

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos

30%30% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

12%12% 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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