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A Xiaohongshu influencer is building a business around DIY bead puzzles using AI. Individual posts have garnered over 1,000 likes and more than 100,000 views. They are also promoting products and recruiting agents.

This influencer runs a bead puzzle business on Xiaohongshu, using AI image generation tools like Image2.5, Jimeng AI, and Kling AI to create covers. Starting from the second image, they post real photos of the handmade bead puzzles. Most posts receive over 1,000 likes, with view counts reaching into the tens of thousands.

Summary

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This content creator runs a bead puzzle business on Xiaohongshu (Red), using AI image generators like Image2.5, Jimeng AI, and Kling AI to create covers. Starting from the second image, they post real photos of handmade bead puzzles. Most posts receive over 1,000 likes and tens of thousands of views, demonstrating excellent performance. They are also recruiting members and agents, launching a product selection program for promotion (daihao), and selling related bead puzzle items with strong sales results. This business model targets specific market segments and is one of the trending ventures in 2026, making it worth studying.

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
Content operators and e-commerce practitioners
What to try first
Select one product or set of materials for a small-scale test, recording publication and feedback.
What to measure
Compare genuine inquiries, clicks, and transaction feedback, recording costs and revenue separately.
Try Image Compression ↗

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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