Finally, a tool to enable Dark Mode for every website 🌚

Night mode is the best when burning the midnight oil in front of the LCD. Unfortunately, most sites don’t offer this option to night owls.

Frustratingly, not every website has a Night Mode available... until now.

Dark Reader is an extension that turns every website into Night Mode. It's magical, and newly available for Chrome, Firefox, and Safari lovers. There are also specific extensions for GitHub, Medium, Google, and Messenger.

This isn't the only extension built to make your web browsing better:

🐦 Refined Twitter is the Twitter we've always wanted. Embedded Instagram pictures, a chronological feed, and auto-loaded new tweets.

🐱 Refined GitHub linkifies issue/PR references in code, comments in titles, marks issues and PRs as unread, preserves Markdown, and much much more. Open-source serial-maker Sindre Sorhus is behind both Refined GitHub and Twitter.

📚 Refined Medium strips away all the clutter so you can read in peace. Available for Chrome and Firefox. Trendbar also sorts the best stories by claps, categories, and dates.

📑 Toby cleans up your browser tabs. No more tab hoarding!

😬 Grammarly for Chrome prevents typos in yur importnt emaails.

Dark Reader 🌗

Highlight

The first tweet was sent on March 21st, 2006 by CEO Jack Dorsey.

From that very first "just setting up my twittr," hundreds of billions of tweets lived together in harmony. Then... everything changed when The Algorithm attacked. Only third party developers, masters of every user demand, could stop it, but when the world needed them most, they vanished. 😮

Well, they didn't quite vanish. In August, Twitter announced sweeping changes to their API that broke most of the features in award-winning Twitter clients like Tweetbot and Tweetdeck. And while Twitter brought back the chronological timeline last month, power users still aren't pleased.

A new third party developer is here to save the world. Zach Hamed just launched Macaw, a new Twitter client that surfaces the top-liked tweets from your network. Macaw focuses on tweets and users that you *should* follow, rather than tweets and users you already follow:

"If 5 of the people who you follow like a particular tweet, chances are good that you should read that tweet. Same with users: if a lot of the people you follow suddenly start following a user, chances are good you might want to follow them."

Zach isn't alone trying to fix Twitter. Earlier this year, Sindre Sorhus launched Refined Twitter, which strips out all ads and algorithmic tweets. Mastodon, Peepeth, Afari, and Leeroy are rebuilding a decentralized Twitter on the blockchain. Oh, and this fancy Emoji Tweeter lets 👏 you 👏 type 👏 like 👏 this.

If your AI product has an onboarding step that says "tell us about your business" — your users are lying to you. Not maliciously. They just write whatever sounds good in the moment, skip half the fields, and click next.

Brandfetch's Brand Context API gives you structured brand data for 50M+ brands in a single call: voice,mission, positioning, audience, competitors, all of it. Pre-fill your onboarding before the user types a word.

Ground your AI features so they stop hallucinating about the brands your LLM barely knows. It's the scraping pipeline most teams never get around to building, already built. 100 free calls, no credit card.

Try the API

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