What this case covers
The author, Shanyu (Leo), has no programming background and used AI tools such as GPT and Codex to build a concert seat view query mini program. The article reviews cold start, unexpected growth, cloud costs, and ad monetization, and reflects on business judgment before development.
Questions it answers
- How can someone with zero programming background build a mini program with AI?
- How did Xiaohongshu and WeChat Moments complete the cold start?
- Why did the imitation incident bring a surge in users?
- Why did cloud costs spiral out of control after the user surge?
- Why choose to pause iteration despite having users?
Our observations
- Fandom users have spending power, but may not be willing to pay for a query tool.
- Accidental controversy-driven traffic is hard to replicate; the product's capacity to handle it is the key.
- AI lowers the development barrier, but does not lower the difficulty of monetization.
From the author
Users having demand does not mean users are willing to pay for it; having traffic does not mean making money is guaranteed.