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Detects and filters corporate jargon, humblebragging, and BS from your LinkedIn feed. Feed Filter uses AI to separate signal from noise in your social media feeds. It automatically detects and blurs corporate jargon, humblebragging, engagement bait, and AI-generated fluff — letting genuinely interesting content through. **Currently supports LinkedIn and X (Twitter).** ## How It Works A fast client-side heuristic pre-scores every post by keyword signals. High-confidence posts are resolved instantly. Ambiguous ones are sent to an LLM for a verdict, score, category, and reason. Posts are then unblurred (interesting), lightly blurred with a "?" indicator (maybe), or fully blurred (noise). Hover to peek, click to reveal. ## Features - Real-time classification — posts are scored as they appear in your feed - Smart blurring — noise is blurred, interesting content stays visible, "maybe" posts get a light blur you can peek through on hover - Pre-filter heuristics — obvious posts are resolved without calling the AI at all - Multiple AI providers — Ollama (free, local), Groq (free tier), OpenRouter (free models), or OpenAI - Bring your own model — pick from the list or type any custom model ID - Interest categories — toggle built-in categories (research, funding, technical, career, industry news, personal insight) or create your own with custom keywords - Custom prompts — override or extend the system prompt to match your interests - Adjustable thresholds — fine-tune how aggressively the filter acts with two sliders - Stats dashboard — track how many posts you've scanned, your signal rate, streaks, and achievements - Privacy-first — all data stays in your browser; API keys are stored locally ## Providers **Ollama:** Completely free and local. Install Ollama, pull a model (e.g., gemma3:4b), and go. No API key needed. **Groq:** Free tier with fast inference. Requires a free API key from groq.com. **OpenRouter:** Access to free models from multiple providers. Free API key from openrouter.ai. **OpenAI:** Paid models (GPT-4.1 Nano from $0.10/1M tokens). API key from platform.openai.com. ## Getting Started 1. Install the extension 2. Choose a provider in Settings (Ollama is selected by default) 3. For cloud providers, paste your API key and click Test 4. Browse LinkedIn or X — posts will be automatically filtered 5. Customize interest categories, thresholds, and prompts to your taste --- **Open source:** https://github.com/albertpod/bs-filter
Feb 25, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.