# 程序员七夜 (@Qunhao127714236) on xiaohongshu

- id: koinon:creator:xiaohongshu_qunhao127714236
- url: https://koinonlink.com/kol/xiaohongshu/Qunhao127714236
- schema_version: 1.4

## Identity
- platform: xiaohongshu
- handle: Qunhao127714236
- platform_url: https://www.xiaohongshu.com/user/profile/60f233830000000001009c10
- website: xhsdiscover://message/userPublicGroupList?user_id=60f233830000000001009c10&username=TA
- country: China
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 29200
- posts_total: 12
- posts_observed: 1
- verified: false
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00164
- best_post_interactions: 48
- 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: 0.9
- category_source: derived_from_recent_content
- topics: Python学习资料与路线图, 程序员日常与生活, 编程代码分享, 职场招聘与效率
- bio: 👉程序员一枚，专业指导python
👉不定时分享一些python知识
👉承蒙厚爱，感谢关注🙏🙏🙏

## Audience (inferred)
- status: present
- description: Python beginners, programming newcomers, and young people interested in developers' daily lives
- roles: dev
- seniority: learner
- pain_points: Don't know the systematic learning path or resources for Python, Unclear about career progression and salary expectations in programming, Technical issues in daily computer and phone use, such as optimization, memory cleanup, and account recovery
- posts_analysed: 20
- confidence: 0.6

## 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: 38
- authenticity_basis: engagement_observed
- credibility_score: 50
- flagged_for_review: false
- koinon_bd_grade: C — 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_qunhao127714236#ce7b6c76] Python资料合集 (https://www.xiaohongshu.com/user/profile/60f233830000000001009c10)
- [xiaohongshu_qunhao127714236#9b44b797] 这里面都是我珍藏多年的资料，里面有各种Python基础知识，还有详细的学习路线图哦~#python学习[话题]# #嗨翻python[话题]# #程序员[话题]#
- [xiaohongshu_qunhao127714236#3d84b45d] 超近超火的3D照片墙，代码来啦！
- [xiaohongshu_qunhao127714236#1a59b7ac] #编程[话题]#  #程序员[话题]#  #3D照片墙[话题]#  #代码[话题]#
- [xiaohongshu_qunhao127714236#2a850ebb] 不同程序员薪资和工作效率之间的关系
- [xiaohongshu_qunhao127714236#dc5c9f81] #编程[话题]#  #程序员日常[话题]#  #工作使我快乐[话题]#
- [xiaohongshu_qunhao127714236#0fc2e4e9] 最严格的招聘需求莫过于程序员啦
- [xiaohongshu_qunhao127714236#8f6bd3d9] #编程[话题]#  #程序员日常[话题]#  #程序员[话题]#  #招聘[话题]#  #工作招聘[话题]#

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

- audience.description: source_type=ai_inferred, confidence=0.6, freshness_days=55, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.6, freshness_days=55, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.6, freshness_days=55, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=55, 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=55, 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=55, 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: 55
- audience_updated_days_ago: 55

## AI retrieval
- indexing_requests: 10
- 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_qunhao127714236
- Request removal: https://koinonlink.com/claim?k=xiaohongshu_qunhao127714236
- Terms: https://koinonlink.com/for-ai