# 书圈 (@书圈) on wechat

- id: koinon:creator:wechat_书圈
- url: https://koinonlink.com/kol/wechat/%E4%B9%A6%E5%9C%88
- schema_version: 1.4

## Identity
- platform: wechat
- handle: 书圈
- platform_url: https://weixin.sogou.com/weixin?type=1&query=%E4%B9%A6%E5%9C%88
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- posts_observed: 51
- verified: false
- size_tier: nano

## Engagement
- status: not_measurable_on_platform
- status_note: This platform publishes no follower count, so an engagement RATE has no denominator here. No amount of further collection can produce one — it is a property of the platform, not a gap in our data.
- 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: 0.88
- category_source: derived_from_recent_content
- topics: 全栈开发实战, Spring Boot + Vue 项目, Node.js Web开发, Python AI基础应用, Rust 创业选择

## Audience (inferred)
- status: present
- description: Full-stack developers and programmers, primarily frontline developers and students or junior practitioners aiming to master Spring Boot/Vue/Node.js/AI
- roles: dev
- seniority: practitioner
- pain_points: Quickly mastering hands-on project development across multiple tech stacks, Implementing specific functionality like file upload and system design, Choosing the right language or framework for tech entrepreneurship, Staying updated with AI fundamentals and full-stack learning resources
- posts_analysed: 5
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.6
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 60
- authenticity_basis: platform_default
- 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
- [wechat_书圈#6ed08572] 新书推荐 | 人工智能基础及应用(Python·微课版) (https://weixin.sogou.com/weixin?type=1&query=%E4%B9%A6%E5%9C%88)
- [wechat_书圈#8f8fb0f0] Node.js Web全栈开发实战(课程教学大纲)
- [wechat_书圈#d5ff282c] 全栈开发实战|​人事管理系统的设计与实现(Spring Boot + Vue 3 + MyBatis)
- [wechat_书圈#34dfcaba] 全栈开发实战|Spring Boot文件上传与下载
- [wechat_书圈#2fac0e7a] Rust,程序员创业的最佳选择?
- [wechat_书圈#9087475a] 微信小程序开发竟然这么简单!
- [wechat_书圈#fcf8723a] 微信小程序开发快速入门教与学(教学大纲)
- [wechat_书圈#e9a2226c] 微信小程序开发(教学大纲) | 附视频

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

- audience.description: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=46, 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=46, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=39, 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=46, method=Fixed value 60. This platform exposes no public follower count, so no authenticity heuristic is run at all. The number is a placeholder, 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=39, 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=39, method=platform_profile

## Freshness
- profile_checked_days_ago: 39
- content_analysed_days_ago: 46
- audience_updated_days_ago: 76

## AI retrieval
- indexing_requests: 10
- user_triggered_requests: 0
- 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=wechat_%E4%B9%A6%E5%9C%88
- Request removal: https://koinonlink.com/claim?k=wechat_%E4%B9%A6%E5%9C%88
- Terms: https://koinonlink.com/for-ai