X-Recommender

Smart tweet scoring tool that dynamically adjusts tweet transparency based on LLM scores

## What is X‑Recommender? X‑Recommender is an AI-powered browser extension that analyzes and scores tweets in your X (Twitter) feed. Using large language models (LLMs), it evaluates tweet quality and dynamically adjusts transparency — so high‑quality content stays visible while low‑quality content fades into the background. The extension analyzes publicly available, user‑generated content on X and helps you personalize your browsing experience. --- ## Why You Need This Tired of your X feed being flooded with: - 🗣️ Low-value drama and gossip - 📢 Spam and excessive self-promotion - 💰 Crypto scams and clickbait - 🤬 Toxic or unproductive content **X‑Recommender filters out the noise so you can focus on meaningful content.** --- ## Key Features ### 🤖 AI-Powered Scoring - Uses local or cloud-based LLM providers to analyze tweets - Scores range from 0–100 based on information value, originality, clarity, and relevance - Customizable prompts to match your personal preferences ### 👁️ Smart Transparency - Low-scoring tweets automatically become transparent - High-quality content remains fully visible - Adjustable threshold for flexible filtering ### ⚙️ Flexible Model Support Supports popular LLM providers, giving you the flexibility to use local models or cloud-based APIs. ### 🔒 Privacy & Control - When using local models, data processing happens on your device - If you choose a cloud API, tweet content is sent only to the provider you configure - No tweet data is collected or stored by the extension developer ### 🔄 Smart Caching - Remembers previously analyzed tweets - Reduces repeated API calls - Improves performance and efficiency --- ## How It Works 1. Install the extension 2. Configure your preferred LLM provider (local or cloud) 3. Browse X as usual 4. Tweets are analyzed automatically in the background 5. Low-quality tweets fade out while valuable content remains clear 6. Hover over a tweet to view its AI score and evaluation --- ## Important Notes - This extension analyzes publicly available user-generated content on X. - X and Twitter are trademarks of X Corp. - This extension is not affiliated with, endorsed by, or sponsored by X Corp. ## 1.5 Updates ### New Features - **ID Whitelist**: Add trusted users to a whitelist - their tweets will not be filtered and display as ∞ - **Filter Mode**: Choose between opacity (fade) or hide completely - **No-Text Tweet Scoring**: Option to score tweets with only images/videos - **Feedback Link**: Added feedback and follow link in the footer - **Three-Tab Settings**: Reorganized settings into API, Filter, and Whitelist tabs ### Improvements - Adjusted retweet badge position ## Version 1.5.1 ### Fixes - Fixed hide mode filtering to only use the hide threshold, preventing overlap with opacity behavior - Improved tweet text fallback extraction (`innerText || textContent`) to reduce unstable hide/show flicker ## Version 1.6.0 ### New Features - Added support for multiple models - you can now configure and switch between multiple LLM APIs - Automatically disable thinking mode with model that support thinking ### Fixes - Fixed issue where adding a second model would not display in the list (race condition and storage sync delay) ## Version 1.6.1 ### Improvements - Pre-hide unscored tweets: New tweets stay hidden until scored, then are shown or hidden by score (reduces timeline jumps) - Changed batch size from 5 to 1 to lower timeline jump probability - Changed temperature from 0.1 to 0 for more stable scoring - Added cache check before scoring to avoid duplicate requests - Added viewport detection to prevent large-scale node removal outside viewport causing scroll anchor jumps - Optimized tweet ID extraction logic ## Version 1.6.2 ### Improvements - Thread pass-through optimization: tweets in the same conversation now reuse the first scored result, avoiding repeated scoring for follow-up tweets - Improved conversation detection by prioritizing `conversation_id` grouping (with safe fallback logic), covering mixed-author thread cases like repost + comment chains - Reduced scroll flicker by disabling opacity transition on cached re-apply paths during timeline refresh/scroll - Moved adaptive viewport timeout controls under hide mode only; these options are now shown only when filter mode is set to hide ## Version 1.6.3 ### Fix - Fix issue where preset APIs like Ollama couldn't be added after changing URL to LAN IP (preset values overriding user input) ### Improvements - Preset API name and URL now prioritize user input