Alternatives
Products that do what Eliminate Context does
Sentiment analysis that detects sarcasm using context.
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AI Context Flow▲433Reusable AI Memory for Smarter Prompts Anywhere
Nov 2025 · chromewebstore.google.com
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2025 · contextch.at
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Measure brand sentiment in real time and respond faster.
Nov 2025 · awario.com
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AI-powered moderation for safer chat experiences
May 2026 · cometchat.com
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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…
Apr 2026 · imbue.com
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Hi, I have been reading marketing and business books recently and found plenty of them are filled with meaningless corporate jargon. These books could often be 1/3 of the original length and much more straightforward. I wrote a tiny library to calculate the amount of meaningless jargon in any text for myself, and open-sourced it later because someone may need this.
2024 · github.com
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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?
2024 · mindfw.com
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I built an API that extracts entities from Hacker News comments and classifies sentiment towards them as positive, negative, or neutral. It also classifies overall comment sentiment and assigns each entity a label (person, location, date, technology, organization, other). 505k+ comments, Oct 31 - Present. Here's the leaderboard: LOVED: - Steve Jobs: 44% positive, 7% negative - Linus Torvalds: 43% positive, 5% negative - Gabe Newell: 34% positive, 8% negative MID: - Bill Gates: 22% positive, 8% negative - Tim Cook: 15% positive, 30% negative - Bezos: 12% positive, 18% negative HATED: -…
Dec 2025 · docs.hnpulse.com
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