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Netflix for Internet Pirates

Hacker News

Netflix for Internet Pirates

Plank is Netflix for internet pirates. The goal is to provide Netlfix level UI/UX to people who want to own the media they consume. Plank lets you: - Browse a catalog of movies and tv shows and one-click stream while you download - Search for any movie or show in the catalog or in your library - Manage your media including refeching a media file with a higher quality torrent - Add your friends and family to your profile or make one for them - Filter low quality or untrusted torrents, add any torrent indexers you want - Add subtitles in 10 different languages Everything is local and runs on device. I dont even have Posthog setup or anything. If youd like to give it a try, I have a read-only demo here: https://plank.lsreeder.com/ Note that the demo site doesn't actually stream any media for legal reasons You can read our docs to spin up your own instance here: https://plank-docs.lsreeder.com/

Visit product View on Hacker NewsApr 28, 2026

Actual performance

3points

4comments

Did not reach leaderboard

Launch Intel predictions

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

69%69% 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

62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

34%34% 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

14%14% 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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