liyown/ai-trend-publish
TrendPublish: 全自动 AI 内容生成与发布系统 | 微信公众号自动化 | 多源数据抓取 (Twitter/X、网站) | DeepseekAI、千问、讯飞模型 | 智能内容分析排序 | 定时发布 | 多模板支持 | Node.js | TypeScript | AI 技术趋势跟踪工具
What it solves
TrendPublish automates the entire lifecycle of creating and publishing content for WeChat Official Accounts. It solves the common pain points of daily updates, such as finding high-quality materials from fragmented sources, deciding which topics are worth writing about, ensuring factual accuracy with evidence chains, and handling the tedious technical aspects of WeChat-compatible HTML formatting, image generation, and draft creation.
How it works
The system operates as an observable production pipeline that follows these steps:
- Content Discovery: Scrapes data from various sources including RSS, social media (X/Twitter), search engines (Brave, Tavily, Exa), and specialized sites (arXiv, Hacker News).
- AI Processing: Uses LLMs to cluster topics, rank them, supplement evidence via search, and generate the article plan, title, and body text.
- Quality Control: Performs an automated quality review and allows for targeted revisions to ensure the content doesn't look like a generic AI template.
- Rendering & Publishing: Converts content into WeChat-compatible HTML using predefined templates and generates AI cover/body images. It can then either save a "dry-run" preview or upload the materials directly as a WeChat draft.
- Management: A Dashboard allows users to edit data sources, manage multiple account personas (matrix operation), and review the history and quality reports of every run.
Who it’s for
- Content creators and curators who maintain daily AI, technology, or business news accounts on WeChat.
- Operators managing a matrix of multiple Official Accounts with different tones and audiences.
- Users who want a fully automated "discovery-to-draft" pipeline that remains transparent and adjustable.
Highlights
- End-to-End Automation: Covers everything from raw data scraping to final draft creation in WeChat.
- Evidence-Based Writing: Integrates search-based data sources to fill context gaps and maintain a factual evidence chain.
- Observable Workflow: Provides a detailed timeline of every run, including errors, quality reports, and HTML snapshots for easy debugging.
- Flexible Deployment: Supports local installation, Docker, and a native Cloudflare (Workers/Workflows/D1/KV/R2) deployment.
- Multi-Account Matrix: Supports managing multiple accounts with distinct positioning, tones, and source groups from a single dashboard.
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