Me

Melogen – Generate MIDI melodies for free

Hacker News

Melogen – Generate MIDI melodies for free

Melogen generates short melodic phrases as .mid files, no rendered audio, just notes you drop into your DAW. Free to try, no signup required. I built this because every "AI music" tool I'd tried produces finished audio, which is the opposite of what I want when I'm stuck on a hook. I wanted something that hands me a MIDI seed I can take into Ableton/FL/Logic and shape myself. Under the hood: - Decoder-only transformer trained on MIDI - Outputs note sequences with timing and velocity - Tuned for short, usable phrases rather than full arrangements It's still in beta and rough in places. I'd value blunt feedback on: - Whether the generations are actually musical, or just "notes that fit a key" - MIDI handling: timing, velocity, channel assignment - What's missing before it would slot into a real workflow Happy to get into the model, dataset, or pipeline in the comments.

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Actual performance

4points
4comments
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, notes, code · Missing: mac, agents, macos
61%61% 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.
Hacker NewsStrong engagement from HN community · Strong signals: pipe, io · Missing: https docs, excited, just released
52%52% 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
33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
31%31% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit
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
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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