Control Panel for YouTube

Hacker News

Hi HN, I recently released a new browser extension for YouTube, which in addition to the table stakes of hiding the existence of Shorts, hiding promoted content, automatically skipping ads, hiding useless/unused UI elements, hiding unwanted channels YouTube keeps recommending to you, letting you hide algorithmic suggestions etc. etc., makes other changes I've always wanted as a user, in the same vein as one of my other extensions, Control Panel for Twitter. The most significant of those is attempting to make your Subscriptions page more like an Inbox, by hiding videos you've already watched (with a configurable watch %), videos you're never going to watch (like live streams and multi-hour stream VODs - if you follow any gaming channels which started co-streaming to YouTube after a recent Twitch policy change), videos you literally can't watch (Upcoming), and improving the handling of videos hidden using YouTube's built-in Hide functionality, then finally filling in the gaps created by all those hidden videos, so unwatched content you're interested in (since you didn't Hide it yet!) floats to the top of your Subscriptions. Desktop and mobile versions of YouTube are both supported, with some version-specific features, e.g. it significantly improves the Subscriptions and Search page layout when doing some comfy-mode browsing of the mobile version on an iPad or other tablet in portrait mode (unfortunately the iOS version is still stuck in App Review limbo, despite the macOS version - which contains the exact same web extension code - being approved on initial submission almost 2 weeks ago). Part of the reason for finally making this (I've been meaning to improve the Subscriptions page for ages) was YouTube starting to go after uBlock Origin, which I can now disable on YouTube if it becomes necessary, without seeing any promoted content or ads. Website: https://jbscript.dev/control-panel-for-youtube Source: https://github.com/insin/control-panel-for-youtube

Visit product View on Hacker NewsMar 7, 2024

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

88%88% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

41%41% 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 · Strong signals: ios, video, way · Missing: mobile apps, personal, entrepreneurs

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

18%18% 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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