Comedy & skits Creators on Xiaohongshu (RED): 27 Indexed

This is the pool of Comedy & skits creators on Xiaohongshu (RED) within Entertainment — 27 of them. The narrower the niche, the higher the reply rate; searching broadly for "Entertainment creators" usually spends budget on audiences that do not overlap yours.

How this slice differs from the index as a whole

• Median following is 32,400, 8.0× the index-wide median of 4,061 — expect higher rate cards.
• A and B grades are 22% of this slice versus 37% overall — expect to screen through more names to find usable ones.
• Average authenticity is 64/100 against 55/100 index-wide, with fewer bought-follower signals than average.

How to read these numbers: this covers creators indexed and validated inside Koinon Link, not every creator on the platform. Suspected bought-follower accounts are quarantined and excluded from the table above (shown separately). The authenticity score is our own anomaly detection over follower/engagement structure, not a platform-official metric. Figures update as collection continues.

Creators in this slice

• 云吞游戏解说 (@4171882140) — Funny short videos

• 电竞高能菌 (@wananxixi520) — Gaming memes and plot twists

• 舒洁游戏 (@5346563461) — Regional differences

• 电竞小豆 (@9494663275) — Anime clips and iconic scenes

• 沫子搞笑视频 (@94392963023) — Contrast transition comedy

• 小森种草中 (@senyiiii) — Sculpture/Shen Wei etc. CP fan works

• AI创意绘画舍 (@26569443343) — Funny AI art scenes

• AI绘画动画片 (@6509200851) — AI-generated short films

• AI设计小丸子 (@27760591603) — AI comic drama tutorials and prompts

• 漫剪师—Ai创作工具 (@49314409797) — AI-generated emotional/healing videos

Ordered by follower tier, first 10 shown. Each link opens that creator’s public profile: what they post about, who reads it, and recent samples — no contact details.

Top 6 countries

Why this niche deserves its own view

"Comedy & skits" is defined by who the audience is and what job they do, not by what the creator posts about. Two creators can both cover AI tools while their audiences barely overlap — one talks to media buyers who care about creative and bids, the other to engineers who care about APIs and deployment. Searching by topic mixes them together; searching by audience function does not.