Du

Ducky Media for macOS, private cloud hosting for your audio library

Hacker News

Ducky Media for macOS, private cloud hosting for your audio library

It's an early version, but usable. A few caveats: - macOS only for this version. Have to start somewhere! - It is a subscription service but the first week is free, so you can sign up and cancel if you just want to play around. I wrote a pretty broad survey of the architecture here: https://tympanon.llc/blog/2026-08-24-ducky-tech In case you want to get into the weeds about the choices, ops, or about specific audio formats. Main product site: https://ducky.tympanon.llc . I thought there would be at least a few people on HN who are digital media holdouts and have a take on new entries in this area.

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
34%34% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
24%24% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: mac, macos, new · Missing: agents, agent, cursor
19%19% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: subscription · Missing: arr, mrr, revenue
15%15% 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.

Correct prediction on native model

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