Hound Media Server – Media Server Alternative to Plex+Stremio

Hacker News

Hound is a fully open-source, self-hosted media server that I've been building slowly for ~4 years, which combines traditional servers like Plex and newer apps like Stremio: - Organic, free-range code (not vibe coded) - Docker install, configuration is minimal - Stream your own files (like Plex/Jellyfin) - Stream (and download) P2P/Debrid/Usenet sources instantly, without 'requesting' first - Stream Live TV (xtream/m3u playlists) - Full watch activity stats, collections, comments/reviews - Fully customizable home screen - Windows, MacOS, Android/Android TV apps, iOS coming soon - Pleasant UI your parents would enjoy Please give it a spin and let me know what you think!

Visit product View on Hacker NewsSep 7, 2026

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Actual performance

4points

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Launch Intel predictions

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

85%85% 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

71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

35%35% 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

17%17% 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

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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