A

A simple web game to help learn chords and basic progressions

Hacker News

A simple web game to help learn chords and basic progressions

Hi Hacker News, I've created Chord Nebula, a simple web-based game designed to help users learn and practice piano chords, basic progressions, and harmony fundamentals. The game integrates with MIDI keyboards, allowing you to play chords in real-time and receive immediate feedback based on the key you choose. GitHub Repository: https://github.com/yottanami/chord_nebula Live Demo: https://chords.yottanami.com Requirements: To use Chord Nebula, you'll need a MIDI keyboard connected to your computer. Current Status: Chord Nebula is still a simple project. I'm committed to improving it based on user feedback and would greatly appreciate any support or contributions from the community. Looking for Feedback and Collaborators: I'm eager to hear your thoughts on Chord Nebula! Whether it's suggestions for new features, improvements, or bug reports, your feedback is invaluable. Additionally, if you're interested in collaborating to enhance the game, feel free to reach out or contribute directly via GitHub. Thanks for taking the time to check out Chord Nebula!

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Actual performance

215points
56comments
Made the leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
83%83% 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: user, computer, new · Missing: mac, agents, macos
66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: users · Missing: plus, platform, intuitive
58%58% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: lua, hacker news, io · Missing: https docs, excited, just released
50%50% 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: users · Missing: mobile apps, ios, personal
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
11%11% 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
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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