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Aimusicgen.me AI-powered music generator for quick

Hacker News

Aimusicgen.me AI-powered music generator for quick

I built aimusicgen.me because I wanted a simpler way to make custom background music for my side project videos (without dealing with complex DAWs or royalty issues).It lets you pick a genre (lo-fi, electronic, etc.), adjust length/tempo, and tweak instruments – then generates a unique track you can download as MP3. I just added a "vocal snippet" option last week (still testing, so let me know if it glitches!).Curious to hear what you think about the quality, or if there's a feature you'd want added.

Visit product View on Hacker NewsDec 29, 2025

Actual performance

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

65%65% 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 · Missing: mac, agents, macos

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

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

52%52% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

23%23% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

13%13% 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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