ChordCraft – Browser-based chord progression sketchpad with MIDI export

Hacker News

Hi HN, I built ChordCraft because I often struggle to find the right chords to support a melody, and opening a full DAW just to sketch an idea felt too heavy. It's a free web tool that lets you visualize chord progressions (with Roman numeral/degree notation), customize voicings, and export the result as a MIDI file to use in your DAW later. Key features: Runs entirely in the browser (Web Audio API) No login or sign-up required Presets for standard progressions (like "Just the Two of Us") Visual diagrams for Piano/Guitar/Pads I'd appreciate any feedback on the UI or feature suggestions! Link: https://chord.iru-yo.com/

Visit product View on Hacker NewsJan 30, 2026

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

74%74% 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: visual, open · Missing: mac, agents, macos

58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, 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

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

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

35%35% 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

12%12% 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.

Incorrect prediction on native model

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