X-Recommender

Tracking since Apr 16, 2026.

Changelog

• Jun 9, 2026
  description

  ## 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
  
  ## Version 1.6.4
  ### Fixes
  - Improved LM Studio compatibility for Qwen-style models by making the no-thinking fallback path more robust
  - Prevented score parsing from accidentally reading reasoning step numbers as final scores
  
  ### Improvements
  - Added an LM Studio setup hint recommending non-thinking models first
  - Added guidance for advanced users to disable thinking via LM Studio Prompt Template settings
  
  ## Version 1.7.0
  ### New Features
  - Added "Clear Cache" button to manually clear all cached scores
  
  ## Version 2.0.0
  ### New Features
  - Added a score-badge action menu: clicking the top-right score now opens a menu with quick translation targets (English and Simplified Chinese by default)
  - Added tweet translation for both main tweet text and quoted tweet text, while preserving original content and rendering translation blocks below
  - Added translation settings in popup: target languages are now multi-select and persisted
  
  ### Improvements
  - Added translation engine strategy options: Ask on first use, Force Chrome, or Force LLM
  - Added Chrome Translator API detection and status display in settings, with engine options enabled/disabled by availability
  - Changed single-click score behavior from direct toggle to menu entry, while keeping "Toggle Filter" and preserving double-click score details
  
  ### Fixes
  - Improved repeated translation behavior by reusing existing translation blocks for the same language, preventing duplicate stacking
  - Added complete i18n keys for translation UI and status/error messaging in both languages

  ## What is X‑Recommender?
  
  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, makes low-quality content transparent or hidden, provides one-click translation from the score menu, and now supports Chrome built-in Gemini as a filtering engine with automatic fallback..
  
  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 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 provider
  - New in v2.1.0: optionally prefer Chrome built-in Gemini (Prompt API) for filtering scores
  
  ✔ **Inline Translation from Score Menu**
  - Click the score badge to open a quick action menu near each tweet
  - Translate both tweet text and quoted tweet text while keeping the original content visible
  - Default translation targets: English and Simplified Chinese
  
  ✔ **Smart Transparency**
  - Low-quality tweets automatically become transparent
  - High-quality content remains fully visible
  - Adjust the threshold to control filtering strictness
  - Keep per-tweet filter toggle and score detail actions in the score menu
  
  ✔ **Fully Customizable**
  - Create custom scoring prompts tailored to your preferences
  - Fine-tune minimum score threshold and opacity level
  - Configurable cache duration (1-30 days)
  - Translation settings are now in a dedicated tab
  - Select translation target languages in Settings (multi-select)
  - Choose translation engine strategy: Ask on first use / Chrome Translator / LLM
  - In Filter settings, detect whether Chrome built-in Gemini is available and choose whether to prefer it
  
  ✔ **Privacy-Focused**
  - All processing happens locally or through your configured API
  - No data collected by us
  - Tweet scores cached locally only
  - Chrome Translator API support can be checked in Settings before choosing engine strategy
  - When Gemini preference is enabled, filtering first tries Chrome built-in model; if unavailable/failed, it falls back to your configured external model automatically
  
  ---
  
  ## 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
  
  ## Version 1.6.4
  ### Fixes
  - Improved LM Studio compatibility for Qwen-style models by making the no-thinking fallback path more robust
  - Prevented score parsing from accidentally reading reasoning step numbers as final scores
  
  ### Improvements
  - Added an LM Studio setup hint recommending non-thinking models first
  - Added guidance for advanced users to disable thinking via LM Studio Prompt Template settings
  
  ## Version 1.7.0
  ### New Features
  - Added "Clear Cache" button to manually clear all cached scores
  
  ## Version 2.0.0
  ### New Features
  - Added a score-badge action menu: clicking the top-right score now opens a menu with quick translation targets (English and Simplified Chinese by default)
  - Added tweet translation for both main tweet text and quoted tweet text, while preserving original content and rendering translation blocks below
  - Added translation settings in popup: target languages are now multi-select and persisted
  
  ### Improvements
  - Added translation engine strategy options: Ask on first use, Force Chrome, or Force LLM
  - Added Chrome Translator API detection and status display in settings, with engine options enabled/disabled by availability
  - Changed single-click score behavior from direct toggle to menu entry, while keeping "Toggle Filter" and preserving double-click score details
  
  ### Fixes
  - Improved repeated translation behavior by reusing existing translation blocks for the same language, preventing duplicate stacking
  - Added complete i18n keys for translation UI and status/error messaging in both languages
  
  ## Version 2.1.0
  ### New Features
  - Added Chrome built-in Gemini (Prompt API) support check in Filter settings
  - Added a new toggle to prefer Chrome built-in Gemini for tweet filtering scores
  
  ### Improvements
  - Added automatic fallback to the configured external LLM when Chrome Gemini is unavailable or scoring fails
  - Kept existing filter behavior unchanged when the Gemini toggle is off
  - Added full i18n text coverage for the new Gemini filter settings and status labels
  
  ## Version 2.2.0
  ### New Features
  - Added Chrome built-in Gemini (Prompt API) support check in Filter settings
  - Added a new toggle to prefer Chrome built-in Gemini for tweet filtering scores
  - Added reputation-based score badges that accumulate scoring history per account
  - Added a reputation summary entry in the score menu so you can view scored count, average score, and current badge status for a user
  - Added a quick profile shortcut from the score menu and reputation modal to open the user's X profile
  
  ### Improvements
  - Added automatic fallback to the configured external LLM when Chrome Gemini is unavailable or scoring fails
  - Kept existing filter behavior unchanged when the Gemini toggle is off
  - Added full i18n text coverage for the new Gemini filter settings and status labels
  - Badge colors now automatically follow a user's accumulated average score after enough history is collected
  - Whitelisted accounts now use a dedicated reputation state so the shield-style badge and menu messaging stay consistent
  
  ### Fixes
  - Fixed whitelist reputation handling so whitelisted accounts are excluded from reputation statistics and no longer show misleading reputation data
  - Improved compatibility for old cached score data by rebuilding reputation summaries from stored detail records when needed

• May 21, 2026
  description

  ## 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
  
  ## Version 1.6.4
  ### Fixes
  - Improved LM Studio compatibility for Qwen-style models by making the no-thinking fallback path more robust
  - Prevented score parsing from accidentally reading reasoning step numbers as final scores
  
  ### Improvements
  - Added an LM Studio setup hint recommending non-thinking models first
  - Added guidance for advanced users to disable thinking via LM Studio Prompt Template settings
  
  ## Version 1.7.0
  ### New Features
  - Added "Clear Cache" button to manually clear all cached 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
  
  ## Version 1.6.4
  ### Fixes
  - Improved LM Studio compatibility for Qwen-style models by making the no-thinking fallback path more robust
  - Prevented score parsing from accidentally reading reasoning step numbers as final scores
  
  ### Improvements
  - Added an LM Studio setup hint recommending non-thinking models first
  - Added guidance for advanced users to disable thinking via LM Studio Prompt Template settings
  
  ## Version 1.7.0
  ### New Features
  - Added "Clear Cache" button to manually clear all cached scores
  
  ## Version 2.0.0
  ### New Features
  - Added a score-badge action menu: clicking the top-right score now opens a menu with quick translation targets (English and Simplified Chinese by default)
  - Added tweet translation for both main tweet text and quoted tweet text, while preserving original content and rendering translation blocks below
  - Added translation settings in popup: target languages are now multi-select and persisted
  
  ### Improvements
  - Added translation engine strategy options: Ask on first use, Force Chrome, or Force LLM
  - Added Chrome Translator API detection and status display in settings, with engine options enabled/disabled by availability
  - Changed single-click score behavior from direct toggle to menu entry, while keeping "Toggle Filter" and preserving double-click score details
  
  ### Fixes
  - Improved repeated translation behavior by reusing existing translation blocks for the same language, preventing duplicate stacking
  - Added complete i18n keys for translation UI and status/error messaging in both languages

Permissions & access

Permissions

storage

Host access

https://x.com/*, https://twitter.com/*

Screenshots

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