Built YourPods an open-source iOS gPodder / Nextcloud podcast client

Hacker News

Couldn't find an iOS client that supported gpodder or Nexcloud (NextPod), so I built one. While it's flutter/dart built the focus of development is iOS and ecosystem features eg WatchOS support, CarPlay, AirPlay streaming, etc. You can download it from the Apple App store (iOS/iPadOS/macOS) for a few bucks (TestFlight is also available) or compile yourself from repo (tested on iOS & Linux, should work elsewhere too). Adding podcast search next and thinking about adding standalone account support (keeping podcast data local and not requiring gpodder sync). What features is it missing? What do you want to see from your perfect podcast app? What do you wish your current podcast app didn't do? https://asecretcompany.com/yourpods/ has more market-y details.

Visit product View on Hacker NewsJan 28, 2026

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, macos, apple · Missing: agents, agent, cursor

77%77% 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.

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

75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs

54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

51%51% 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

30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

24%24% 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.

Incorrect prediction on native model

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