AI tools / agents Creators on Xiaohongshu (RED): 607 Indexed

This is the pool of AI tools / agents creators on Xiaohongshu (RED) within Software — 607 of them. The narrower the niche, the higher the reply rate; searching broadly for "Software creators" usually spends budget on audiences that do not overlap yours.

How this slice differs from the index as a whole

• 32% have recent content captured for judgement versus 46% overall — confidence here is lower than average, so pair it with manual review.
• Median following is 7,500, 1.8× the index-wide median of 4,155 — expect higher rate cards.
• A and B grades are 47% of this slice versus 37% overall — a denser pool, so the same screening effort yields more usable names.

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

• 三金AI科技 (@881639165) — Hardcore Product Testing and Pitfalls to Avoid

• AI科技胖才 (@mcd59222) — Digital product reviews and recommendations

• Ai科技圈小熊 (@95383754206) — AI video generation and transition tips

• Chaologies 超说 (@LuckyJohnny) — Minimalist productivity system and Notion templates

• 大宇极核评测 (@42947654064) — Home appliance and digital product reviews

• 醒醒AI科技 (@6248632208) — AI smart hardware and robotics

• AI科技慧 (@26709281260) — AI video effects

• 吴春天的Ai创业日记 (@332816349) — Bosses' correct path and pitfalls with AI

• 老洋科技说（AI实战版） (@aliyy66) — Low-cost AI Agent deployment

• 阿娇短视频 (@yufan850418) — Founder personal brand building

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

"AI tools / agents" 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.