PC / console Creators on WeChat: 161 Indexed

This is the pool of PC / console creators on WeChat within Gaming — 161 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 92% of this slice versus 37% overall — a denser pool, so the same screening effort yields more usable names.
• 65% have recent content captured for judgement versus 45% overall — better-evidenced than average.
• 0% publish an email or IM handle against 6% index-wide — more dependent on platform DMs, so outreach costs more here.

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

• @3DM游戏网 — PC game release previews and specs

• @BB姬 — Domestic single-player games

• @Jump x Switch — Switch game discounts and lowest price recommendations

• @Steam社区 — Free Steam game giveaways

• @人生如戏1540 — Genshin Impact character stats and build guides

• @任饭团Switch游戏 — Switch game recommendations

• @冻梨游研社 — Genshin Impact weapon/character analysis

• @北通 — Steam Summer Sale/Weekend discount recommendations

• @原魔姬 — Genshin Impact 7.0/7.1 character gameplay and mechanics

• @原魔游研社 — Genshin Impact character strength and feel tests

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.

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.