Chessophone – Listen to Chess Games

Hacker News

Chessophone takes a PGN string representation of a chess game and generates music - Notes from the C major scale are added for each piece in each row of the board for each move in the game. Games played with the same opening will sound the same until they deviate from book moves. The perceived tempo of the music speeds up as pieces are captured. Enjoy! The Web Audio API is a bit annoying and this would be better if it used an actual <audio> tag but alas Saturday mornings are only so long. Created with python-chess and tone.js. Source code here: https://github.com/charliemeyer/chessophone

Visit product View on Hacker NewsApr 19, 2025

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2points

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

75%75% 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 · Missing: mobile apps, ios, personal

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

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

56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

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

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

37%37% 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

16%16% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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