Pixelgroove an experimental game that generates gameplay from videos

Hacker News

I’m excited to be open sourcing my failed experimental game that uses Typescript, p5.js, Electron and off-the-shelf ML models to generate gameplay based off of music videos. I knew from the start it would be a very niche product and likely fail commercially, but I thought it would be pretty fun to build. Unfortunately, it can be finicky at times and there are still many bugs to be ironed out (it seems to vary from video to video; also, it’s a lot slower at analyzing video than anticipated). On Github: https://github.com/Dream-Dimension/Pixelgroove Video Demo: https://youtu.be/_yfUnCqTTuc?si=khm1DMwF08Fv0SMM On Steam: https://store.steampowered.com/app/2871570/Pixelgroove/ Thanks for looking!

Visit product View on Hacker NewsJul 26, 2024

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Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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

59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

44%44% 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

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: excited, ide, io · Missing: https docs, just released, exist

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

nativeThis product was originally launched on this platform.

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

16%16% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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