Political Tweet Filter
Remove the aggravation from your X Feed
What it does
Stops political doomscrolling on X. Unlike unreliable keyword blockers, this extension uses AI to understand the context of tweets. It filters out political toxicity in real-time, keeping the content you actually care about. No manual lists, no maintenance, a cleaner and more productive feed.
Does a similar job
all alternatives →- IRI removed politics from Twitter with AI2024 · mindfw.com · ▲40
I'm sure you all saw the debate a few days ago, alongside all the tech influencoors giving their mid-takes about politics. Doesn't it get tiring? That's why I built mindfirewall a chrome extension that uses AI to filter out tweets. You'll never have to see politics, war, or negativity on your timeline again. In the future you'll be shocked you even allowed this stuff into your brain in the first place. Let me know what you think below, does it feel too much like censorship? would you use this?
- FOFilter 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)
- CYControl 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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