Food & cooking Creators on Xiaohongshu (RED): 47 Indexed

This is the pool of Food & cooking creators on Xiaohongshu (RED) within Lifestyle — 47 of them. The narrower the niche, the higher the reply rate; searching broadly for "Lifestyle creators" usually spends budget on audiences that do not overlap yours.

How this slice differs from the index as a whole

• Median following is 21,500, 5.4× the index-wide median of 3,966 — expect higher rate cards.
• 74% have recent content captured for judgement versus 45% overall — better-evidenced than average.
• A and B grades are 21% of this slice versus 37% overall — expect to screen through more names to find usable ones.

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

• 书菡的种草集 (@1698301064) — High-end dining and private banquets in the Greater Bay Area

• 游戏工作 (@18613991087) — Wild edible mushrooms and vegetables

• 视频狗🐶 (@940927960) — Classic movie series analysis

• 昭彤努力中（橱窗有好物） (@7783122643) — Chrysanthemum and cassia seed tea recipes and benefits

• 杭州山姆好物推荐官 (@HZ4808) — Sam's Club new product reviews and recommendations

• 美食精选（好物分享） (@2699638628) — Russian imported foods

• 木鱼游戏解说 (@942890514) — Game open beta and endorsements (e.g., Need for Speed, Justice)

• 笙笙好爱吃(测评种草版) (@Lys345) — Boba tea reviews

• 宁波山姆好物推荐官 (@Sams6529NB) — Sam's Club food recommendations

• 高端外贸锅具 (@49313315624) — Stainless steel cookware recommendations

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

"Food & cooking" 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.