# 好物分享官 (@5285557594) on xiaohongshu

- id: koinon:creator:xiaohongshu_5285557594
- url: https://koinonlink.com/kol/xiaohongshu/5285557594
- schema_version: 1.4

## Identity
- platform: xiaohongshu
- handle: 5285557594
- platform_url: https://www.xiaohongshu.com/user/profile/61db9a72000000001000a173
- country: China
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 194100
- posts_observed: 19
- verified: false
- size_tier: kol

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 2.02131
- best_post_interactions: 392336
- 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: software
- subcategory: app
- category_confidence: 0.8
- category_source: derived_from_recent_content
- topics: 数码产品使用技巧, iOS与安卓手机对比, Office/WPS软件小技巧, 手机配件与充电推荐, 学生/毕业生数码推荐
- bio: RED ID: 5285557594

## Audience (inferred)
- status: present
- description: General consumers, especially students, recent graduates, and young professionals, interested in everyday tech tips and gadget recommendations
- roles: consumer
- seniority: consumer
- pain_points: Printing images with black backgrounds and other common Office software issues, Avoiding pitfalls when choosing iPhone chargers and accessories, Understanding new iOS features and comparing smartphone brands, Information gaps around buying gadgets after college entrance exams or graduation leading to overspending
- posts_analysed: 36
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.6
- promotion_intent: 0.4
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 70
- authenticity_basis: engagement_observed
- credibility_score: 66
- flagged_for_review: false
- koinon_bd_grade: B — 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_5285557594#4c26e26a] 打印出来的图片总有黑底，怎么办？ / word十级选手告诉你 (https://www.xiaohongshu.com/user/profile/61db9a72000000001000a173)
- [xiaohongshu_5285557594#cbfedec0] 怎么一键优化打印的图片
- [xiaohongshu_5285557594#234f053f] 不用PS也可以！
- [xiaohongshu_5285557594#c8d0455f] #数码达人成长计划[话题]#  #电脑小技巧[话题]#  #word[话题]#  @数码薯  @知识薯
- [xiaohongshu_5285557594#650ebfdc] #一人一个电脑使用技巧[话题] / 毕业学生党数码推荐来咯！！ / #毕业季[话题]#    #大学生手机推荐[话题]# / 离职前，如何清理电脑？ / #数码大玩家[话题]#  #离职[话题]# / 火龙，趴下！ / #数码大玩家[话题]# / iOS18 详细体验 不用买安卓了？ / #数码大玩家[话题]#  #苹果手机[话题]#  #iphone[话题]# / #数码大玩家[话题]##iOS18[话题]# #苹果手机[话题]##iOS[话题]# / 30秒带你看完苹果iOS18新系统！

## 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=62, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=62, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=62, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=62, 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=62, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=47, 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=62, 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=47, 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=47, method=platform_profile

## Freshness
- profile_checked_days_ago: 47
- content_analysed_days_ago: 62
- audience_updated_days_ago: 62

## AI retrieval
- indexing_requests: 10
- user_triggered_requests: 2
- last_user_triggered_day: 2026-09-29
- 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_5285557594
- Request removal: https://koinonlink.com/claim?k=xiaohongshu_5285557594
- Terms: https://koinonlink.com/for-ai