PC / console Creators on Xiaohongshu (RED): 114 Indexed

This is the pool of PC / console creators on Xiaohongshu (RED) within Gaming — 114 of them. The narrower the niche, the higher the reply rate; searching broadly for "Gaming creators" usually spends budget on audiences that do not overlap yours.

How this slice differs from the index as a whole

• A and B grades are 84% of this slice versus 37% overall — a denser pool, so the same screening effort yields more usable names.
• Median following is 16,100, 3.9× the index-wide median of 4,155 — expect higher rate cards.
• 88% have recent content captured for judgement versus 46% overall — better-evidenced 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

• 小黄蜂游戏达人 (@v19199898662) — Game horror stories

• Switch游戏官 (@11414968887) — Switch lowest price discounts

• 原神情报处 (@cihaibifa988) — Genshin Impact version preview and gacha pool recommendations

• 王者荣耀傲弟 (@513239467) — Honor of Kings gameplay clips

• 客阙 (@keque1038215227) — Free camera exploration

• 大锤游戏解说 (@1165696938) — Legendary weapon prices and acquisition

• 欢乐游戏解说 (@11674991320) — Outrageous plays by Chinese gamers

• 九仙（仙家电竞） (@246770444) — Escape from Tarkov game clips and clutch plays

• 电竞磕颜所 (@whab020715) — Honor of Kings

• 小恒游戏 (@497875307) — Minecraft escape the teacher series

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

"PC / console" 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.