阿娇短视频 (@yufan850418) on Xiaohongshu (RED)

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阿娇短视频 is a creator on Xiaohongshu (RED) in the 50K–60K follower range, publishing for Entrepreneur founders and business owners, especially those running physical stores or startups looking to build a personal brand through short videos, based in China. Profile last checked 2026-07-23.

Observed facts (from the public profile):

Profile bio

阿娇｜创始人IP短视频操盘手 帮企业老板用短视频做品牌沉淀，让品牌因创始人而升值 8年实战经验｜讲我所做 做我所讲

What this creator posts about, and who reads it (AI-inferred)

Recurring topics: Founder personal brand building, Short video system logic and training, Content strategy and trust building, Showing face and daily posting strategy, Content creation capability building

Audience: Entrepreneur founders and business owners, especially those running physical stores or startups looking to build a personal brand through short videos

Provenance: inferred by AI from public content, not stated by the creator — confidence 0.75 · read from 39 recent posts · updated 55 days ago.

Audience read from this creator’s own recent posts, not from platform-declared categories. It is our reading, and it can be wrong.

Recent content samples (what the inference above was drawn from)

线下工作坊都有哪些收获？听听多年教育者李老师怎么说#创始人IP 话题 ##IP 话题 ##短视频 话题 #

短视频不是玄学， 是视觉逻辑+用户思维+持续输出的系统工程。 带李宁的视觉精英们开启两天短视频培训， 从酒店的培训会场到商场实体门店， 从短视频背后逻辑到拍摄技巧， 学员说从瞎拍走向了正规军， 从没有

Where this creator sits among comparable accounts

Compared with the 454 accounts in the same group (xiaohongshu · koc · software):

This is a position, not a verdict. A percentile says where this account falls among comparable accounts on signals we can measure — it does not say this creator is a better fit for your campaign. We ran a blind benchmark and measured no reliable advantage in selection quality, and do not claim one.

See the Creator Index Report for how this index is structured.

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Creators next to this one by follower tier in the same slice. Each link opens that creator’s public profile — what they post about and who reads it, with no contact details.

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Machine-readable representations

Structured twins of this page for AI and agents — every inferred field carries its source, confidence and freshness.

• /kol/xiaohongshu/yufan850418.json
• /kol/xiaohongshu/yufan850418.md

AI retrieval activity

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