# 皮卡秋的好物分享 (@xqiuqiu99) on xiaohongshu

- id: koinon:creator:xiaohongshu_xqiuqiu99
- url: https://koinonlink.com/kol/xiaohongshu/xqiuqiu99
- schema_version: 1.4

## Identity
- platform: xiaohongshu
- handle: xqiuqiu99
- platform_url: https://www.xiaohongshu.com/user/profile/5b9b424d18e36000015084af
- country: China
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 65200
- posts_total: 20
- posts_observed: 4
- verified: false
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.0034
- best_post_interactions: 222
- measurement_source: cn_posts_max
- measurement_formula: likes + comments + shares (douyin) or likes + comments + collects (xiaohongshu), max over observed posts
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- 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: lifestyle
- subcategory: fashion
- category_confidence: 0.95
- category_source: derived_from_recent_content
- topics: 微胖MM显瘦穿搭, 秋冬外套羽绒服合集, 裙子裤子搭配技巧, 颜色搭配与显高, 一衣多穿循环利用, 圣诞跨年节日穿搭
- bio: 每天分享微胖mm穿搭的博主～
📬[contact removed]

## Audience (inferred)
- status: present
- description: female consumers with a fuller or pear-shaped figure seeking slimming, height-enhancing, and practical everyday outfit ideas
- roles: consumer
- seniority: consumer
- pain_points: struggling to find slimming clothing items and pairings suitable for a fuller figure, wintertime outfits often look bulky or fail to balance warmth with style, hesitant to wear skirts or flowy dresses for fear of appearing heavier, unsure how to pair colors and styles to achieve a stylish, put-together look
- posts_analysed: 39
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.2
- promotion_intent: 0.1
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 60
- authenticity_basis: engagement_observed
- credibility_score: 55
- flagged_for_review: false
- koinon_bd_grade: C — 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_xqiuqiu99#688983d1] 风衣的搭配这样很好看！气质满分！ / 好多小姐姐说风衣的搭配不够看，所以今天的视频我准备了好久， (https://www.xiaohongshu.com/user/profile/5b9b424d18e36000015084af)
- [xiaohongshu_xqiuqiu99#5b7a5a93] 搭配炒鸡温柔的波点半裙，，上身效果极棒，太温柔了，简单大气，
- [xiaohongshu_xqiuqiu99#ee22a54b] 内搭还可以是衬衫连衣裙，这个我爱，这样穿也很奈斯，
- [xiaohongshu_xqiuqiu99#c75b162d] 或者说浅色系内搭，高级看起 / 女生最讨厌的称呼！你讨厌哪一个？ / 叫姑娘土，叫小姐不合理，叫大妹子low，
- [xiaohongshu_xqiuqiu99#d65021f5] 叫兄弟不理你，叫小老板跟你很熟吗？
- [xiaohongshu_xqiuqiu99#f7ad0ad3] 叫老铁太傻，叫大姐把你叫老了，
- [xiaohongshu_xqiuqiu99#0d401af9] 叫阿姨，叫谁阿姨呢，叫姐太生分，
- [xiaohongshu_xqiuqiu99#6b3a541e] 那到底叫什么呢？

## 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=81, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=81, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=81, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=81, 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=81, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=107, 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=0.5, freshness_days=81, method=Starts at 60; interactions-per-follower on collected posts then adds or subtracts (large following with near-zero engagement is penalised heavily). — 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=107, method=llm_partner_fit_classifier + authenticity >= 55 AND fit_score >= 0.45 => A; authenticity >= 40 AND fit_score >= 0.3 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=107, method=platform_profile

## Freshness
- profile_checked_days_ago: 107
- content_analysed_days_ago: 81
- audience_updated_days_ago: 81

## AI retrieval
- indexing_requests: 7
- 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_xqiuqiu99
- Request removal: https://koinonlink.com/claim?k=xiaohongshu_xqiuqiu99
- Terms: https://koinonlink.com/for-ai