MuShan-bit

MuShan-bit / TideDesk

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TideDesk 是一个面向内容运营与知识归档的自动化工作台，支持绑定多个 X 账号，抓取推荐、热点与搜索内容，完成去重归档、分类标签整理、AI 自动分析、周月报生成，以及一键分发到微信公众号、知乎、CSDN 等平台，帮助个人或团队把信息流沉淀为可管理、可复用、可发布的内容资产。

43
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100% credibility
Found Mar 26, 2026 at 43 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

TideDesk is a self-hosted workbench for linking X accounts to scrape, deduplicate, and archive feeds with AI classification, reporting, and multi-platform publishing.

How It Works

1
👋 Discover TideDesk

You find this handy content workbench and sign up using the demo account to get started right away.

2
🔗 Connect your X account

Use the browser helper to securely link your real X login, so it can follow your personalized feeds.

3
📱 Set up your feed strategy

Choose modes like recommendations or trends, pick how often to check, and launch your first collection.

4
📥 Posts arrive automatically

New content from your feeds gets grabbed, duplicates skipped, and neatly archived with images and details.

5
🤖 AI sorts and summarizes

Connect smart helpers to automatically tag topics, add summaries, and organize everything neatly.

6
📊 Build reports and drafts

Generate weekly summaries or create ready-to-post drafts for your favorite sharing spots.

🎉 Content magic complete

Your feeds are now a organized treasure trove, reports shine, and publishing is just a click away!

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AI-Generated Review

What is TideDesk?

TideDesk is a TypeScript dashboard that automates turning X (Twitter) feeds into organized content libraries. Bind multiple real X accounts via browser login, scrape recommendations, trends, or searches, then dedupe, archive posts with media and links, apply AI tags/categories/summaries, generate weekly/monthly reports, and one-click publish to WeChat, Zhihu, or CSDN. Built on Next.js and NestJS with PostgreSQL backend, it runs locally via Docker Compose or deploys to Vercel+Neon.

Why is it gaining traction?

It bridges X's chaotic stream to structured, reusable assets without manual copying—real auth avoids API limits, AI handles classification/reporting, and multi-platform publishing saves hours for cross-posters. Docker setup with noVNC for binding and demo data makes spinning it up instant, unlike fragmented scrapers or basic RSS tools.

Who should use this?

Content curators aggregating X signals for newsletters or blogs, especially those targeting Chinese audiences via WeChat/Zhihu. Teams in marketing/knowledge ops needing multi-account feeds deduped and AI-sorted before republishing, or solo operators building personal archives from trends/searches.

Verdict

Worth forking for X-to-multi-platform workflows if you self-host—solid Docker quickstart, bilingual UI, and seeded demo beat most early projects. At 43 stars and 1.0% credibility, it's immature (light tests, single maintainer), so expect tweaks for production; great prototype fuel.

(198 words)

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