Audial – a video game about musical improvisation

Hacker News

This is still a prototype. I'd love to hear what people think! I built this game from scratch in c++. Most of the sounds you hear are synthesized at runtime by an audio synthesizer I also wrote. I generate sound this way because (1) it's cool and (2) it makes for fast iteration on game design. I arrived at this game design over years of noodling around with tiny prototypes. I love rhythm games but I sometimes find them so restrictive - i.e., usually the song is already set in stone and you're graded by how closely your button presses match the song's rhythms. So with this prototype I'm trying to break out of the restrictions typical of rhythm games by letting players just play the music themselves, with no musical training necessary.

Visit product View on Hacker NewsAug 29, 2023

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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

70%70% 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.

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

60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

53%53% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: video, way · Missing: mobile apps, ios, personal

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

46%46% 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 · Strong signals: arr, training · Missing: mrr, revenue, profit

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: audio · 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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