Yo

YouTube Addiction Rehab - content filter chrome extension using LLMs

Hacker News

YouTube Addiction Rehab - content filter chrome extension using LLMs

Hi HN, my name is Joey, I’m building a chrome extension to help myself recover from YouTube addiction. Hope I can help others like me. I have a love hate relationship with YouTube, I love how much I learn from it. But a lot of times, a 10 minute tutorial becomes a three hour watch marathon. It feels bad when you clearly know you are wasting time, but you have no control. I’ve tried dozens of blocker but they all end up being disabled and never turn on again. Recently, with LLM models becoming smarter, faster, and cheaper, I started experimenting using them to hack the algorithm, allowing it to intercept information and filter based on my own rules. It works surprisingly well, so I've begun building the YouTube Addiction Rehab chrome extension. How it works: Setup your personal goals, what you want to focus on, what you want to avoid. AI Focus filter: The extension will analyze all the content when loaded (right not is the video titles), send it to LLM with your goals. And return only the relevant videos. It then blur out the distractions, and only keep what you should watch. AI Smart Blocker: It also has a blocker that blocks videos based on the relevance of your goal and the video. Last but not least, it hide shorts: IMO, shorts are just evil, hiding them is the best solution I think LLM technology opens opportunities to fight the algorithm. The addictive data driven algorithm has already caused so many issues. We should have an “attention firewall” to protect us. Open to Feedback: This project is still work in progress, would love to get your feedback. There’s an open sourced version, where you can input your own API key and select provider + model. I’ve tested it with Groq with llama 3.1 70 B, the latency is amazing. https://github.com/JoeyWangTW/youtube-addiction-rehab-chrome... I’ve also got a hosted version on chrome web store, using GPT-4o-mini. https://chromewebstore.google.com/detail/youtube-addiction-r... More info on https://YouTubeAddiction.Rehab There are couple next steps I’m thinking - Get it to safari, desktop and mobile. Mobile is tricky, browser extension seem to be the only way. - Work on more platforms, I’ve done an addiction poll and instagram is on the second place after YouTube - Work on a recovery coach to check-in every day ,track your recovery progress, and make the rules dynamic

Share card

Actual performance

4points
2comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
91%91% 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: model, google, models · Missing: mac, agents, macos
84%84% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: personal, video, google · Missing: mobile apps, ios, entrepreneurs
64%64% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, host · Missing: plus, intuitive, reviews
45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: open source, llama, ide · Missing: https docs, excited, just released
43%43% 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 · Missing: arr, mrr, revenue
13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: smart · 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

Similar products

Yo
YouTube Sequencer Chrome Extension31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

YouTube Sequencer Chrome Extension

Hacker News2
I
I made a Chrome extension to filter your X feed40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made a Chrome extension to filter your X feed

Hacker News3
Yo
YouTuLong – TL;DW chrome extension/website for YouTube37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

YouTuLong – TL;DW chrome extension/website for YouTube

Hacker News3
Cu
Cursed Ads for YouTube (Chrome Extension)40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Cursed Ads for YouTube (Chrome Extension)

Hacker News3
Di
DilterBilter – a Chrome extension for ChatGPT to filter conversations32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

DilterBilter – a Chrome extension for ChatGPT to filter conversations

Hacker News1
A
A Chrome extension to burst your filter bubble27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Chrome extension to burst your filter bubble

Hacker News26
Ch
Chrome extension to filter sub reddits40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Chrome extension to filter sub reddits

Hacker News3
A
A Chrome extension for Delicious/Pinboard28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Chrome extension for Delicious/Pinboard

Hacker News7
Be
Beautify Craigslist - Chrome Extension35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Beautify Craigslist - Chrome Extension

Hacker News2
My
My first Chrome Extension35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My first Chrome Extension

Hacker News1