runzhliu

runzhliu / welink

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🔍 本地微信聊天数据分析平台 · 好友排行 / 词云 / 情感趋势 / 群聊画像 · Docker一键启动

wechat weixin
13
1
100% credibility
Found Mar 18, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

WeLink is a local web application that visualizes insights from decrypted WeChat chat databases, including friend rankings, group activity, message trends, word clouds, sentiment analysis, and daily chat calendars.

How It Works

1
📱 Discover WeLink

You hear about WeLink, a fun way to uncover hidden stories in your WeChat chats like who you talk to most or late-night buddies.

2
📲 Backup your chats

Connect your phone to Mac and transfer all your chat history safely to your computer.

3
🔓 Unlock chat files

Run a simple helper tool while WeChat is open on Mac to unlock and prepare your chat files.

4
📁 Place files ready

Put the unlocked files next to WeLink so it's ready to explore your personal data.

5
🚀 Launch explorer

Start WeLink with one easy command and open your browser to localhost:3000.

6
📅 Pick time range

Choose a period like last 6 months or all time to focus your chat insights.

7
⏳ Watch it analyze

Sit back as it quickly processes your chats into colorful charts and stats.

🎉 Unlock chat secrets

Enjoy dashboards showing top friends, group activity, word clouds, feelings over time, and fun facts about your relationships.

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Star Growth

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AI-Generated Review

What is welink?

WeLink analyzes your local WeChat chat databases to uncover hidden patterns in relationships. Drop in decrypted message and contact files from tools like wechat-decrypt, run Docker Compose pulling images from GitHub Container Registry via GitHub Docker releases, and get dashboards ranking top friends by message volume, word clouds of common topics, sentiment trends over months, and group chat speaker heatmaps. TypeScript-powered React frontend pairs with a Go backend for fast, offline processing on macOS.

Why is it gaining traction?

It delivers pro-level visualizations like calendar heatmaps for chat density, late-night rankings, and clickable daily message logs that reveal interaction habits no other tool exposes. Docker GitHub Actions builds ensure reliable one-click deploys with caching, while the MCP server hooks into Claude for natural language queries like "who do I chat with most at midnight?" Zero cloud risk keeps data private.

Who should use this?

Mac-based WeChat power users auditing personal networks—track emotional arcs with someone, spot group lurkers, or quantify "midnight champions." Data-curious devs exporting via WeChat migration who want quick Docker GitHub runner setups for self-analysis.

Verdict

Solid starter for local WeChat forensics with intuitive Docker GitHub login and repo integration, but 13 stars and 1.0% credibility signal early maturity—test demo mode before real decrypts. Worth forking if you need custom welink app tweaks.

(198 words)

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