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

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liyown/ai-trend-publish has 3k+ stars and 400+ forks on GitHub, is written in TypeScript, and was last pushed on Aug 4, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 18 minutes ago
Added to GitGenius on September 21st, 2026
Created on January 13th, 2025
Open Issues & Pull Requests: 4 (+0)
GitHub issues: Enabled
Number of forks: 449
Total Stargazers: 3,207 (+0)
Total Subscribers: 22 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 0.3 hours
Mean response time: 45.8 hours
90th percentile: 26.5 hours
Tracked items: 50

Maintainer activity

1 person did triage or write work on this repository in the last 12 months.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 11, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits. How this is counted.

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Issue Activity (beta)

Open issues: 3
New in 7 days: 1
Closed in 7 days: 0
Avg open age: 139 days
Stale 30+ days: 2
Stale 90+ days: 1

Recent activity

Opened in 7 days: 1
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • enhancement (10)
  • documentation (1)
  • needs-access (1)

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Detailed Description

TrendPublish is an automated content generation and publishing system that aggregates AI trend information and distributes it to WeChat Official Accounts.

The tool addresses the challenge of manually tracking and publishing AI industry trends by automating the entire workflow from data collection through publication. It scrapes content from multiple sources including Twitter/X and websites, uses AI models such as DeepseekAI, Qwen, and iFlytek to analyze and generate summaries, intelligently ranks the content, and publishes it on a schedule to WeChat Official Accounts. The system supports multiple content templates to accommodate different presentation styles.

TrendPublish suits developers and content teams who want to maintain an active WeChat presence focused on AI trends without manual curation and writing work. It is particularly valuable for those already using WeChat as a distribution channel and who want to leverage multiple AI models for content generation. The project is built with TypeScript and Node.js, making it accessible to JavaScript-focused teams.

The project shows active development with regular commits addressing bug fixes and feature improvements. The codebase demonstrates ongoing refinement of the core automation pipeline and integration points. Documentation is maintained to support users in configuration and deployment. The tool receives updates that expand its capabilities and improve reliability in the content generation and publishing workflow.