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A 23-year-old named Meng uses AI-generated images to promote products on Xiaohongshu. In an interview, he shares insights on how he achieved over 10 million yuan in GMV last year.

Hello everyone, I'm Liu Hai, the producer of the Shengcai Youshu interview series. Recently, taking advantage of the Shenzhen Masterclass, we invited Kun Ge to record an interview with Meng Ge. At 23 years old, last year, Meng led a team of fewer than 10 people to use AI image generation on Xiaohongshu.

Sharer: Liu Hair2026.10.30
Summary

Review the results before exploring further

Hello everyone, I'm Liu Hai, the producer of the Shengcai Youshu interview series. Recently, taking advantage of the Shenzhen Masterclass, we invited Kun Ge to record an interview with Meng Ge. At 23 years old, last year, Meng led a team of fewer than 10 people to use AI image generation on Xiaohongshu for product promotion and sales, achieving over 10 million GMV. After hearing his story, you'll realize the entry barrier isn't as high as imagined. Previously, shooting product photos required setting up scenes, arranging goods, and hiring photographers; now, just using Doubao to generate promotional images based on reference pictures allows you to swap different scenarios for the same product. In this interview, Meng covers these details thoroughly—from how to run the business and make money to what happens after everything is set up.

Our Take

Three things to consider about this case

Why it matters
Use one product or piece of content to validate demand first, then record transactions, costs, and after-sales service.
Who it suits
Suitable for reference by those who already have similar needs and can verify effectiveness through small tasks.
What to check first
The achievements mentioned in the summary belong to the author's self-report; distinguish between revenue and profit, and consider costs, man-hours, and reproduction conditions.
Our Suggestions / Try This
Who it suits
Individuals who need to process images and assets
What to try first
Run the processing workflow using one piece of real material and compare the effects before and after processing.
What to measure
Check clarity, text accuracy, and whether results can be directly used for actual tasks.
Try Image Text Extraction ↗

What should you ask before trying this?

  • What specific need does this practice solve for you?
  • How should the minimum viable test be accepted, and how much time needs to be invested?
  • Which steps still require human processing and continuous maintenance?
Still deciding? Read our decision guides
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