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Growth · January 24, 2026

Cocoon

AI-powered X/Twitter filtering

Cocoon launched on January 24, 2026 with 5 votes, #3,400 of 14,584 launches that month and more than 75% of that year's launches.

Visit cocoon.surf ↗Cocoon alternativestop 23% of January 2026

What it does

AI-powered X/Twitter feed filter. Curate your feed based on your interests, block distractions automatically. Privacy-first, free Chrome extension.

Built an AI yoga app that roasts my downward dog. It's brutally honest and I love it New exclusive content just dropped 🔥 Check it out: onlyfans.com/ivylane Just open sourced my weekend project. Hope someone finds it useful 🚨 BREAKING: Trump says [insert outrage here]. This is the end of democracy as we know it 😱😱😱 Set your interests once. The AI learns what you want to see and what wastes your time. It's that simple. Every post flows through the filter. Signal goes to your feed. Noise disappears. Know exactly what gets hidden, what you keep, and how much time you save. Complete transparency. The algorithm knows what keeps you scrolling. It doesn't care about your time, goals, or your…from cocoon.surf

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  • Filter out engagement bait and politics on your X/Twitter feed2025 · unbaited.danielpetho.com · ▲71

    hi friends! i'm pretty tired of engagement bait and all the political nonsense on my x/twitter feed. i was curious if i could use an llm to filter out these type of content, so i prototyped a quick chrome extension. it uses LLama 3.3 to analyze the tweet through https://groq.com/ (because they are super-super fast). the extension is available in the chrome store, also there is a link to the repo. - you can tweak the system prompt for the filtering - but you need your own API key from Groq (you can get one for free)

  • Control your X/Twitter feed using a small on-device LLMApr 2026 · imbue.com · ▲15

    We built a Chrome extension and iOS app that filters Twitter's feed using Qwen3.5-4B for contextual matching. You describe what you don't want in plain language—it removes posts that match semantically, not by keyword. What surprised us was that because Twitter's ranking algorithm adapts based on what you engage with, consistent filtering starts reshaping the recommendations over time. You're implicitly signaling preferences to the algorithm. For some of us it "healed" our feed. Currently running inference from our own servers with an experimental on-device option, and we're working on fully…

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