product-hunt-cn

What This Skill Does

The Product Hunt CN skill serves as a powerful bridge between your AI agent and the dynamic world of Product Hunt. It enables users to monitor, discover, and analyze the latest technology launches, startup projects, and emerging software tools directly through natural language requests. Whether you are a venture capitalist, a software developer, or a tech enthusiast, this skill provides real-time access to the most upvoted and commented-on products, helping you stay ahead of industry trends without manually browsing the web.

Installation

To install this skill on your OpenClaw agent, use the following terminal command: clawhub install openclaw/skills/skills/guohongbin-git/product-hunt-cn Ensure your environment is configured for agent skill management before execution.

Use Cases

• Market Intelligence: Quickly survey competitive landscapes by identifying top-ranked products in specific domains like AI, Developer Tools, or Productivity.
• Content Curation: Curate lists of trending tech tools for newsletters or blogs by aggregating daily and weekly "Best of" data.
• Trend Tracking: Monitor the velocity of new releases to understand which features or technologies are gaining immediate community adoption.
• Investment Research: Screen for early-stage startups that are gaining significant traction, indicated by high upvote counts and active community discussions.

Example Prompts

1. "获取 Product Hunt 今日 Top 10，帮我筛选出评分最高的 AI 工具并总结它们的亮点。"
2. "查询 Product Hunt 本周在开发工具类别中最热门的 5 个项目，并提供对应的链接。"
3. "在 Product Hunt 搜索 "notion alternative"，整理出相关度最高的新品信息。"

Tips & Limitations

• Tips: Use specific categories (Games, Books, Podcasts) to narrow down your results when performing broad searches to improve relevance. The skill works best when you ask for specific time frames like "today" or "this week".
• Limitations: The skill relies on external API data; in the event of high latency or API rate limits on Product Hunt's side, results may be delayed or unavailable. The tool focuses primarily on metadata and ranking, meaning it does not perform deep-dive analysis into the source code of the applications it retrieves. Ensure you interpret the "upvotes" and "comments" as proxies for popularity rather than definitive measures of product quality.