What this case covers
The author is a coach for two cohorts of Shengcai AI Voyage and operates X Leaderboard, a data website for the Chinese-language Twitter community. The article describes how he used Claude Code and Shengcai MCP to build an auto-updating 'Selected Side Hustles' recommendation page on the website, covering the complete process from landing page to fully automated collection and interpretation, along with pitfalls encountered.
Questions it answers
- Why turn featured posts into interpretation versions?
- How should the four-section structure of the interpretation page be determined?
- How can the page be updated automatically every day?
- How to solve the mobile QR code scanning issue?
- How to determine whether an interpretation is compliant?
Our observations
- Launching a 60-point version first to get positive feedback is more effective than waiting for a perfect version.
- Writing manual operation steps into a manual is a prerequisite for automation.
- Interpretations that only ask questions without giving answers are actually more effective at guiding readers to the original post.
From the author
Later, Claude Code kept encouraging me, saying to launch the 60-point version first—the earlier it's out there, the bigger the gains. It turned out to be right. On the day the first version went live, someone claimed a card, and this positive feedback gave me the motivation to continue making the second version.