Smart Tweet Filter - AI-Powered X/Twitter Feed Quality Control
Tired of your X/Twitter feed being flooded with low-quality content? Want to focus on valuable tweets while hiding the noise? X-Recommender uses AI to automatically analyze and score every tweet, making low-quality content transparent so you can focus on what matters!
🌟 Core Features: ✔ AI-Powered Scoring
Uses large language models (LLM) to analyze every tweet
Scores range from 0-100 based on information value, originality, clarity, and engagement potential
Works with popular LLM providers: OpenAI, DeepSeek, LM Studio, Ollama, llama.cpp, LocalAI
âś” Smart Transparency
Low-quality tweets automatically become transparent
High-quality content remains fully visible
Adjust the threshold to control filtering strictness
âś” Fully Customizable
Create custom scoring prompts tailored to your preferences
Fine-tune minimum score threshold and opacity level
Configurable cache duration (1-30 days)
âś” Privacy-Focused
All processing happens locally or through your configured API
No data collected by us
Tweet scores cached locally only
đź’ˇ Why do you need it?
Filter out gossip, spam, self-promotion, and clickbait automatically
Focus on high-quality, valuable content in your feed
Fully customizable to match your preferences
Works with local models (completely offline) or cloud APIs
From now on, your X/Twitter feed is no longer cluttered—browse with clarity and focus!
“Not just a filter, but your AI-powered feed assistant”
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Download the extension package (X-Recommender.zip)
Open Chrome and navigate to chrome://extensions/
Enable “Developer mode” (top right corner)
Click “Load unpacked” and select the extracted folder
Install the extension
Click the extension icon to open settings
Configure your preferred LLM API (or use local models like LM Studio/Ollama)
Set your preferred score threshold and opacity
Browse X/Twitter as usual—X-Recommender works automatically!
Cloud APIs: OpenAI, DeepSeek, Anthropic
Local APIs: LM Studio, Ollama, llama.cpp, LocalAI
Custom: Any OpenAI-compatible API endpoint
Redesigned app icon with transparent background
Added multi-language support for Chrome Web Store
Improved transparency controls
Added support for local LLM models (LM Studio, Ollama, llama.cpp)
Introduced customizable scoring prompts
Improved caching mechanism
Added opacity controls for low-quality tweets
Improved performance and stability
Initial release
Basic tweet scoring with OpenAI API support