将Threads 用户所在地等资讯，自动显示在小黄标签上。 Automatically extracts and reveals profile for quick identification.
v0.9.12 更新
- 调整分析标签
v0.9.11 更新
- 调整介面/增加说明图卡
v0.9.10 更新
- 支援Openrouter API
v0.9.8 更新
- 新增智慧自动查询功能：预先将具有高互动数的贴文的陌生帐号自动进行查询
- 新增支援Claude API (需自备API Key)
- 修正Dark Mode 下的显示颜色
- 修正查询中与查询失败的状态显示
v0.9.5 版起，新增「用户行为分析」功能。可以透过本机或云端的AI服务，依照用户过去的发文与回覆纪录，产出符合用户风格的标签。
在Threads 社群平台上，您是否曾好奇某位用户来自哪个国家或地区？小黄标正是为此而生——它能自动侦测并以醒目的彩色标签显示每位用户资讯，让您一眼就能辨识。
核心功能| Key Features
🏷️ 智慧标签系统在每位用户名称旁自动显示所在地标签，无需手动查询。
🔍 一键查询点击「查询」按钮即可自动开启新分页，快速取得用户的公开位置资讯。
💾 本机快取查询结果自动储存在您的电脑中，下次遇到同一位用户时无需重复查询，节省时间与网路资源。
⚡ 批次自动查询开启自动查询模式，系统会自动批次处理页面上所有待查询的用户，您可自订同时查询的分页数量
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v0.9.12 Update
• Adjusted analysis tags
v0.9.11 Update
• UI adjustments / added explanatory cards
v0.9.10 Update
• Added support for the OpenRouter API
v0.9.8 Update
• Added Smart Auto-Query feature: automatically queries unfamiliar (accounts that are neither followed nor verified) accounts from posts with high engagement.
• Added support for the Claude API (API key required).
• Fixed display color issues in Dark Mode.
• Fixed status display issues for in-progress and failed queries.
Starting from version 0.9.4, a new “User Behavior Analysis” feature has been added. Using either local or cloud-based AI services, it can generate style-appropriate tags based on a user's past posts and reply history.
On Threads, have you ever wondered where a user is from?
Threads User Location Tag is designed exactly for this—it automatically detects and displays each user's location with eye-catching colored labels, allowing you to identify their geographic location at a glance.
Smart Label System
Automatically displays location tags next to each username without manual lookup.
One-Click Query
Click the "Query" button to automatically open a new tab and quickly retrieve the user's public location information.
Local Cache
Query results are automatically saved on your computer. No need to re-query when you encounter the same user again, saving time and network resources.
Batch Auto Query
Enable auto-query mode and the system will automatically batch process all pending users on the page. You can customize the number of concurrent query tabs (1-10).
