# Java干货君 (@Java干货君) on wechat

- id: koinon:creator:wechat_java干货君
- url: https://koinonlink.com/kol/wechat/Java%E5%B9%B2%E8%B4%A7%E5%90%9B
- schema_version: 1.4

## Identity
- platform: wechat
- handle: Java干货君
- platform_url: https://weixin.sogou.com/weixin?type=1&query=Java%E5%B9%B2%E8%B4%A7%E5%90%9B
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- posts_observed: 7
- 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: 0.9
- category_source: derived_from_recent_content
- topics: AI-powered code documentation, AI for developer productivity, AI in software maintenance, AI for report and presentation generation, AI as a coding assistant

## Audience (inferred)
- status: present
- description: Java developers and tech professionals using AI to boost daily productivity in coding, documentation, and reporting
- roles: dev
- seniority: practitioner
- pain_points: Struggling with writing detailed documentation for legacy code without comments, Spending too much time on repetitive tasks like writing weekly reports, Finding it hard to understand complex source code without proper guidance, Having to manually create charts and presentations from raw data
- posts_analysed: 5
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.8
- 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_java干货君#01d84956] 我用AI工作提效,赢麻了(二):运营甩个页面要分析?我3步出图表 (https://weixin.sogou.com/weixin?type=1&query=Java%E5%B9%B2%E8%B4%A7%E5%90%9B)
- [wechat_java干货君#cb32f505] 我用AI工作提效,赢麻了(三):读源码像开挂,AI当我的私人导师
- [wechat_java干货君#53e7180e] 我用AI工作提效,赢麻了(四):让AI替我写周报,每周白捡2小时
- [wechat_java干货君#a2628787] 我用AI工作提效,赢麻了(七):从提纲到成稿,AI做PPT只要10分钟
- [wechat_java干货君#d55b263b] 我用AI工作提效,赢麻了(十):接手没注释的老代码?让 AI 把接口文档一口气补齐

## 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=12, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=12, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=12, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=12, 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=12, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=12, 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=12, 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=12, 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=12, method=platform_profile

## Freshness
- profile_checked_days_ago: 12
- content_analysed_days_ago: 12
- audience_updated_days_ago: 12

## AI retrieval
- indexing_requests: 5
- 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_java%E5%B9%B2%E8%B4%A7%E5%90%9B
- Request removal: https://koinonlink.com/claim?k=wechat_java%E5%B9%B2%E8%B4%A7%E5%90%9B
- Terms: https://koinonlink.com/for-ai