# shadow，Mixlab AI编程 (@27730378598) on xiaohongshu

- id: koinon:creator:xiaohongshu_27730378598
- url: https://koinonlink.com/kol/xiaohongshu/27730378598
- schema_version: 1.4

## Identity
- platform: xiaohongshu
- handle: 27730378598
- platform_url: https://www.xiaohongshu.com/user/profile/5d3263330000000011012464
- website: xhsdiscover://message/userPublicGroupList?user_id=5d3263330000000011012464&username=TA
- country: China
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 3200
- posts_observed: 10
- verified: true
- size_tier: nano

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: software
- subcategory: ai_tools
- category_confidence: 0.85
- category_source: derived_from_recent_content
- topics: VibeCoding与AI原生思维, Mixlab无界社区线下活动, AgentOS训练营与实际Agent搭建, 设计师学AI的痛点与突破, 无限游戏与认知破局
- bio: 帮助1000人建立自己的Agentic公司，《驾驭Gemini3与NanoBanana人人都是AI产品创客》《人人皆可Vibe编程》作者、Mixlab社区（8w成员）创建者。做过100多个景观设计项目的程序员。前蚂蚁集团高级技术专家

## Audience (inferred)
- status: present
- description: Designers, creators, and early AI adopters interested in VibeCoding and AI-native development, primarily participating in Shanghai-based offline workshops and community events
- roles: automation
- seniority: practitioner
- pain_points: Designers lack structured pathways and real-world examples when learning AI, High barrier to transitioning AI from chat toy to productive work partner, Want to build apps or agents but lack methodologies and community support, Traditional design education is out of sync with AI-era aesthetics and thinking
- posts_analysed: 38
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.9
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 58
- authenticity_basis: platform_default
- credibility_score: 48
- flagged_for_review: false
- koinon_bd_grade: A — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [xiaohongshu_27730378598#9f8c5f10] AI原生VS提效，即兴聚会，你被邀请了 / #最先触达未来的那一小部分人[话题]# #mixlab无界社区[话题]# (https://www.xiaohongshu.com/user/profile/5d3263330000000011012464)
- [xiaohongshu_27730378598#93725481] #A236[话题]#
- [xiaohongshu_27730378598#1ccc9209] N2-AI原生VS提效
- [xiaohongshu_27730378598#c2982847] N1-无限游戏 / 感谢人民邮电出版社的认可，国内第一本VibeCoding书籍出货量不错。
- [xiaohongshu_27730378598#49392938] #Mixlab无界社区[话题]# #人人皆可vibe编程[话题]# #AI编程[话题]#
- [xiaohongshu_27730378598#1b34e601] #异步社区[话题]# #人民邮电 / 设计师学AI的痛点 😫看看你中了几个？ / #最先触达未来的那一小部分人[话题]# #AI编程[话题]# #设计思维[话题]# #人人皆可vibe编程[话题]# #设计师发展前景[话题]# #Mixlab无界社区[话题]# / 靠小红书推荐算法了，帮我推 / #Mixlab无界社区[话题]#  #最先触达未来的那一小部分人[话题]# / Mixlab老友记：一场“无限游戏”见面会。 / 第一期 老朋友的聚会，感兴趣下一期的可以联系～～
- [xiaohongshu_27730378598#4a14d3f0] #最先触达未来的那一小部分人[话题]# #mixlab无界社区[话题]# #线下活动[话题]# #社交活动[话题]# / 原型文化·Mixlab / #最先触达未来的那一小部分人[话题]# #mixlab无界社区[话题]# #人人皆可vibe编程[话题]# #vibecoding[话题]# #AI编程[话题]# #摆脱同质化[话题]# #发现灵感之 / 一把手·认知破局营，在解决什么问题？#MIX

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.75, freshness_days=73, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=73, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=73, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=73, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=73, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=101, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.25, freshness_days=73, method=Fixed value 58, pending engagement collection. Not a measurement. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=101, method=llm_partner_fit_classifier + fit_score >= 0.5 => A; >= 0.35 => B; else C. authenticity is not an input. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=101, method=platform_profile

## Freshness
- profile_checked_days_ago: 101
- content_analysed_days_ago: 73
- audience_updated_days_ago: 73

## AI retrieval
- indexing_requests: 8
- user_triggered_requests: 1
- last_user_triggered_day: 2026-09-01
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=xiaohongshu_27730378598
- Request removal: https://koinonlink.com/claim?k=xiaohongshu_27730378598
- Terms: https://koinonlink.com/for-ai