Radiccio Server is a new personal music server for Mac: one-click setup

Hacker News

Previously on Show HN, I made a native Mac music player app called Radiccio, which works with local files, Apple Music, Navidrome*, OpenSubsonic*, Plex, and Jellyfin. (* = new since launch) As of today, the same app also has a built-in OpenSubsonic server. Enable in settings and your local files are now streamable on the LAN. If you have Tailscale (or another mesh VPN), you can access from anywhere. My #1 most frequent feedback has been that people wouldn’t consider a desktop music player that doesn’t have a way to play the same music on their phone. That’s fair. So, I’m hoping this will go some way towards filling that need. Lots of people are aware that you can set up a server, but not everyone gets around to actually doing it, so I tried to make it super easy; literally one click. There are many OpenSubsonic clients (players) available on just about every platform: iOS, Android, Windows, Linux, web. Someday I hope to make my own iPhone client, but I haven’t had enough time yet; and honestly, there’s plenty of great clients already on iOS. My favorite is Nautiline. Radiccio Server also has Bonjour and (optional) anonymous access, so you can have a LAN party just like in the old days with iTunes. (It does not use the old iTunes DAAP protocol - that’s proprietary and weird, and from what I can tell, nobody really uses it any more. Instead, this uses OpenSubsonic with a few custom extensions, documented on my site.) I am working on this product full time, so the subscription pricing goes towards my living expenses while I try to make ends meet so I can keep working on this. I have a multi-year plan for this. No outside funding, no ads, no nags. After two decades in the industry, I’m trying to make something I can really be proud of. Would love to hear your feedback. Comment here or email feedback [at] radiccio.music Thanks for looking! -dmd

Visit product View on Hacker NewsMay 26, 2026

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

96%96% 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: mac, apple, new · Missing: agents, macos, agent

93%93% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

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

46%46% 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

45%45% 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 · Strong signals: subscription · Missing: arr, mrr, revenue

21%21% 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.

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