# 小码哥聊软件测试 (@xmg_lou) on douyin

- id: koinon:creator:douyin_xmg_lou
- url: https://koinonlink.com/kol/douyin/xmg_lou
- schema_version: 1.4

## Identity
- platform: douyin
- handle: xmg_lou
- platform_url: https://www.douyin.com/user/MS4wLjABAAAAv4G7rrjjGBAm3Whf98jr7D8cWrfJc_cS7HjsXoSGA0lH7IjqXgA51jqlNm2HDLJB
- country: China
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 153431
- following: 5264
- posts_total: 721
- posts_observed: 1
- verified: true
- size_tier: kol

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.05665
- best_post_interactions: 8692
- 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: devtools
- category_confidence: 0.8
- category_source: derived_from_recent_content
- topics: 软件测试面试技巧与常见问题, 自动化测试工具（pytest、Postman、Jmeter）, AI生成测试用例与脚本的skill, 接口测试与性能测试方法, 自动化稳定性与AI测试应用
- bio: 👉领学习资料➕ｗｅｉ🤗：xmg_lou
👨‍🏫十年经验的业内知名软件测试人
❤️分享软件测试功能、接口、自动化、性能、测开
👏每天了解软件测试行业知识

## Audience (inferred)
- status: present
- description: Software testing engineers, test developers, and QA practitioners—primarily frontline executors preparing for interviews or learning automation testing
- roles: automation
- seniority: practitioner
- pain_points: Struggling with tough interview questions like missed test cases, career planning, and cache testing, Low efficiency when manually writing pytest, Postman, and JMeter scripts, Difficulty handling complex scenarios such as API dependencies, parameterization, and response validation, Poor automation test stability and tight project timelines leaving insufficient time for thorough testing
- posts_analysed: 52
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.8
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 70
- authenticity_basis: engagement_observed
- credibility_score: 76
- 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
- [douyin_xmg_lou#8662c985] 金三银四必问：你有过漏测bug的经历吗？#软件测试 #面试技巧 #软件测试工程师 (https://www.douyin.com/user/MS4wLjABAAAAv4G7rrjjGBAm3Whf98jr7D8cWrfJc_cS7HjsXoSGA0lH7IjqXgA51jqlNm2HDLJB)
- [douyin_xmg_lou#34a616b3] @小码哥聊软件测试创作的原声
- [douyin_xmg_lou#b8031806] 金三银四面试必问：说一下你的职业规划#软件测试 #面试 #程序员  #求职
- [douyin_xmg_lou#f426c467] 一键生成pytest脚本的skill 如果你还不会pytest，那就不用学了，直接用这个skill吧 #软件测试 #pytest #自动化测试 #skill
- [douyin_xmg_lou#63172a4d] 个人观点，仅供参考
- [douyin_xmg_lou#2a93305a] 如果你还不会pytest，那就不用学了，直接用这个skill吧 #软件测试 #pytest #自动化测试 #skill
- [douyin_xmg_lou#a6e39dae] Pytest patte...
- [douyin_xmg_lou#b940dfb6] 自动生成Postman脚本的skill 根据接口文档，自动生成Postman脚本，提高测试效率 #软件测试 #接口测试#skill

## 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=84, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=84, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=84, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=85, 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=85, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=107, 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=85, 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=107, 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=107, method=platform_profile

## Freshness
- profile_checked_days_ago: 107
- content_analysed_days_ago: 85
- audience_updated_days_ago: 84

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