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PianoMeter – Piano Keyboard Visualizer App

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PianoMeter – Piano Keyboard Visualizer App

Hi! I am a piano teacher and YouTuber from Taiwan. I often need to display a piano keyboard on screen while teaching and livestreaming, but I couldn't find an app that fully met my needs, so I created one myself. In addition to displaying the played notes, I've also added some interesting features such as note count, chord recognition, legato-ness score, and even calorie consumption, among others. GitHub page (with a brief description): https://github.com/wiwikuan/pianometer Use it online: https://nicechord.com/pianometer/ I also made an introductory video with English subtitles. If you're interested, you can check it out: https://www.youtube.com/watch?v=YsL7WGUEU-4

Visit productView on Hacker NewsMar 31, 2023
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Actual performance

3points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
77%77% 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.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
60%60% 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 · Strong signals: video, visualize · Missing: mobile apps, ios, personal
46%46% 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
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: visual, notes · Missing: mac, agents, macos
29%29% 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
14%14% 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.

Incorrect prediction on native model

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