Tw

Two uBlock Origin rules to improve your Twitch experience

Hacker News

Two uBlock Origin rules to improve your Twitch experience

It might come down to taste, but I feel like a lot of the "features" Twitch has been adding have cluttered the interface while offering little of value for someone like me who just watches streams occasionally and isn't closely involved in community events. But most importantly, I'm bothered by the non-dismissable popups that now appear over the video feed. They seem to be for extensions, but what features they provide evades me. These two uBlock Origin rules (which you can add in the My Filters tab) will remove the main two modals that can pop up over the video: www.twitch.tv##.extensions-dock-card ext-twitch.tv##.prime-extension-root Additionally, you may want to get back a chat frame without a leaderboard header: www.twitch.tv##.channel-leaderboard Twitch generates random class names, possibly to prevent your blocking some elements, so I tried to find the topmost classes. I hope that's useful to some.

Share card

Actual performance

99points
10comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: dock · Missing: mac, agents, macos
71%71% 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 · Missing: supports, reddit linkedin, podcasting
69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: occasional, interface · 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: ide, io · Missing: https docs, excited, just released
35%35% 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
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Sashy
Sashy39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Improve Your Customer Experience

Indie Hackers1ai
NG
NGRX Tslint Rules44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

NGRX Tslint Rules

Hacker News2
ES
ESLint rules for ChakraUI, such as reorder props to be semantical44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

ESLint rules for ChakraUI, such as reorder props to be semantical

Hacker News1
I
I made Scrabble with modified rules37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made Scrabble with modified rules

Hacker News3
Ho
How I would improve Pokemon GO gameplay43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

How I would improve Pokemon GO gameplay

Hacker News2
Wh
What would you improve before promoting this?54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

What would you improve before promoting this?

Hacker News6
ho
how would you improve this?54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

how would you improve this?

Hacker News5
A
A promotions engine can improve customer experience53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A promotions engine can improve customer experience

Hacker News2
Wh
What you need to improve your development experience40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

What you need to improve your development experience

Hacker News1
Trae Rules
Trae Rules19%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find, share, and use Trae rules

Indie Hackerscommitment-side-project