# 孙博士的AI工具箱 (@2269084327) on xiaohongshu

- id: koinon:creator:xiaohongshu_2269084327
- url: https://koinonlink.com/kol/xiaohongshu/2269084327
- schema_version: 1.4

## Identity
- platform: xiaohongshu
- handle: 2269084327
- platform_url: https://www.xiaohongshu.com/user/profile/63f35235000000000f0136c6
- country: China
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 2300
- posts_observed: 4
- verified: false
- 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: 0.95
- category_source: derived_from_recent_content
- topics: AI数据分析全流程, AI Agent应用, 数据可视化图表教程, Bayeslab工具推广, 自动化报告生成
- bio: RED ID: 2269084327

## Audience (inferred)
- status: present
- description: Data analysts, especially professionals who frequently create data visualizations and reports in their work
- roles: data
- seniority: practitioner
- pain_points: Manually creating various statistical charts is time-consuming and error-prone, The workflow from data analysis to report generation requires switching between multiple tools, Lack of an automated solution for quickly generating professional visual reports, Unfamiliarity with creating specific chart types like forest plots and volcano plots
- posts_analysed: 33
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.7
- promotion_intent: 0.85
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 58
- authenticity_basis: platform_default
- credibility_score: 36
- 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_2269084327#0bdab480] 有没有AI能做好数据分析全流程？ / #数据分析[话题]# #AI工具[话题]# #效率神器[话题]# #数据分析我在行[话题]# #agent[话题]# #AI人工智能[话题]# #数据可视化[话题]# / 用AI Agent做数据分析真是太方便了！ / #数据分析[话题]# #AI人工智能[话题]# #AI工具[话题]# #效率神器[话题]# #数据分析我在行[话题]# / 数据分析工具的天花板又被抬高了？ / 本月，Bayeslab聚焦于产品中那些你每日都会接触的核心环节：工作的组织方式、数据的来源渠道，以及结果反馈的速度。以下是本月更新内容。 (https://www.xiaohongshu.com/user/profile/63f35235000000000f0136c6)
- [xiaohongshu_2269084327#ef7f87be] 🗂️ 主题——更高效的工作组织方式
- [xiaohongshu_2269084327#7364e285] 将“工作区”更名为“ / 教程 |利用AI Agent自动分析数据并生成报告 / #数据分析[话题]# #数据可视化[话题]# #AI工具[话题]# #数据分析我在行[话题]# #效率神器[话题]# #AI人工智能[话题]# #数据[话题]# #agent[话题]# / 从数据分析到PPT报告生成，一键轻松搞定！ / #PPT实用技巧[话题]# #数据分析[话题]# ##数据可视化[话题]# #ppt[话题]# #PPT制作[话题]# / 🎉在小红书获得的阅读量破10万啦❗️ / 用AI做数据分析真的太简单了！

## 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=56, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=56, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=56, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=56, 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=56, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=93, 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=56, 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=93, 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=93, method=platform_profile

## Freshness
- profile_checked_days_ago: 93
- content_analysed_days_ago: 56
- audience_updated_days_ago: 56

## 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_2269084327
- Request removal: https://koinonlink.com/claim?k=xiaohongshu_2269084327
- Terms: https://koinonlink.com/for-ai