See your computer's audio output on a real-time piano

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I built this for 2 usecases: - When listening to music, I very often what is currently being played. Be it a the current chord, a short lick, etc. - When transcribing, I don't like the workflow of extracting a complete audio and transforming it midi, so I thought having this helper on the side, but still do most of the work by myself could be very useful. Disclaimer: the app is limited by the model's performance. Basic-Pitch is a relatively small model which runs super well on consumer laptops. I get around 50FPS of inference on my laptop (AMD Radeon 780M). Of course, this wouldn't be possible without: - Tauri: https://tauri.app/ - Basic Pitch: https://github.com/spotify/basic-pitch - ONNX: https://onnx.ai/

Visit product View on Hacker NewsApr 28, 2026

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

84%84% 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

70%70% predicted probability of success on Indie Hackers, 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

49%49% 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

45%45% 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

32%32% 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

18%18% 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

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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