# 全栈开发工程师 (@全栈开发工程师) on wechat

- id: koinon:creator:wechat_全栈开发工程师
- url: https://koinonlink.com/kol/wechat/%E5%85%A8%E6%A0%88%E5%BC%80%E5%8F%91%E5%B7%A5%E7%A8%8B%E5%B8%88
- schema_version: 1.3

## Identity
- platform: wechat
- handle: 全栈开发工程师
- platform_url: https://weixin.sogou.com/weixin?type=1&query=%E5%85%A8%E6%A0%88%E5%BC%80%E5%8F%91%E5%B7%A5%E7%A8%8B%E5%B8%88
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- posts_observed: 5
- 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: devtools
- category_confidence: 0.85
- category_source: derived_from_recent_content
- topics: programming applied to accounting, geography for programmers, AI impact on traditional professions, interdisciplinary learning for developers, technical skills in non-tech domains

## Audience (inferred)
- status: present
- description: programmers and tech enthusiasts interested in interdisciplinary topics like accounting and geography, especially those exploring how technical skills apply to non-tech domains
- roles: general_ai
- seniority: learner
- pain_points: struggling to understand how programming skills can be applied in non-technical fields like accounting, finding it hard to locate reliable resources for niche topics such as enterprise accounting standards, lacking structured learning paths for interdisciplinary knowledge like geography in a technical context
- posts_analysed: 5
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.9
- 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_全栈开发工程师#c4f15837] 【程序员做会计】企业会计准则的和其它会计制度的下载 (https://weixin.sogou.com/weixin?type=1&query=%E5%85%A8%E6%A0%88%E5%BC%80%E5%8F%91%E5%B7%A5%E7%A8%8B%E5%B8%88)
- [wechat_全栈开发工程师#462ffe88] 【程序员的地理】02.十个及以上邻国的国家
- [wechat_全栈开发工程师#ce97bc7a] 【程序员做会计】AI对会计人员的冲击(上)
- [wechat_全栈开发工程师#35413c45] 【程序员的地理】06.七个邻国的国家(中)
- [wechat_全栈开发工程师#c2c28145] 【程序员的地理】09.六个邻国的国家(中)

## 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=0, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=0, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=0, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=0, 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=0, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=0, 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=0, 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=0, 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=0, method=platform_profile

## Freshness
- profile_checked_days_ago: 0
- content_analysed_days_ago: 0
- audience_updated_days_ago: 0

## AI retrieval
- indexing_requests: 1
- 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_%E5%85%A8%E6%A0%88%E5%BC%80%E5%8F%91%E5%B7%A5%E7%A8%8B%E5%B8%88
- Request removal: https://koinonlink.com/claim?k=wechat_%E5%85%A8%E6%A0%88%E5%BC%80%E5%8F%91%E5%B7%A5%E7%A8%8B%E5%B8%88
- Terms: https://koinonlink.com/for-ai