# AI产品经理小智 (@auraai002) on xiaohongshu

- id: koinon:creator:xiaohongshu_auraai002
- url: https://koinonlink.com/kol/xiaohongshu/auraai002
- schema_version: 1.4

## Identity
- platform: xiaohongshu
- handle: auraai002
- platform_url: https://www.xiaohongshu.com/user/profile/629dd01c000000001b026773
- country: China
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 8400
- posts_observed: 2
- verified: false
- size_tier: nano

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- 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: 0.95
- category_source: derived_from_recent_content
- topics: AI/机器学习学习路线图, Python自学资源, 监督学习与经典算法, Agent与RAG实践, 科研绘图与知识库工具, AI证书避坑与学习资料推荐
- bio: RED ID: auraai002

## Audience (inferred)
- status: present
- description: AI beginners with no prior experience, mainly students, new professionals, or individuals looking to switch careers into AI
- roles: none
- seniority: learner
- pain_points: Can't find a systematic and reliable AI learning path, easily get lost, Lack foundational knowledge in Python and machine learning, making it hard to get started, Struggle with low efficiency in creating model diagrams, writing papers, or preparing reports, Worried about AI certification scams and unsure how to tell real from fake resources
- posts_analysed: 34
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.6
- promotion_intent: 0.7
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 58
- authenticity_basis: platform_default
- credibility_score: 43
- 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
- [xiaohongshu_auraai002#322df907] 5个免费学习Python的网站‖干货 / ??大家好呀！这里是秒懂Python✌️ 🎈今天给姐妹们分享！5⃣️个自学网站！ 🎉希望能对大家有所帮助！ ❤️菜鸟教程 ??廖雪峰教程 💚Python中文开发者社区 💙pythontutor / 从今天开始，用AI在互联网打工！🔥 / 挑战45天学会AI超级个体，真的很强！0基础！AI不复杂，复杂的是会用AI的人！ (https://www.xiaohongshu.com/user/profile/629dd01c000000001b026773)
- [xiaohongshu_auraai002#51f41a1f] 你是否也想:
- [xiaohongshu_auraai002#352a7a60] ✓用AI简化工作——从文档处理到创意设计，轻松提升效率！
- [xiaohongshu_auraai002#b1de99f3] ✓快速上手无压力——无需专业设备，电脑/手 / 救命！这人工智能学习路线图真的太香了！谁 / 以前学 AI 像无头苍蝇，直到挖到这张保姆级路线图！
- [xiaohongshu_auraai002#dfe7a276] 从 Python / 数学基础，到机器学习、深度学习，再到 CV、NLP、AIGC…
- [xiaohongshu_auraai002#4276fc66] 每一步都给你指明白，新手直接抄作业不迷路～
- [xiaohongshu_auraai002#062b90a0] #机器学习[话题 / 一分钟讲清楚什么是监督学习#算法[话题]# #人工智能[话题]# #循环神经网络[话题]# #ai小智[话题]# #机器学习[话题]# #监督学习[话题]# / 背下这份机器学习小册子，你将成为大师！#深度学习[话题]# #人工智能[话题]# #职场[话题]# #嵌入式开发[话题]# #数据库[话题]# #算法[话题]# #前端入门[话题]# #自学软件测试[ / 一分钟讲清楚机器学习的分类:监督学习、无监督学习和强化学习#深度学习[话题]# #人工智能[话题]# #算法[话题]# #coze智能体[话题]# #人工智能发展[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=0.75, freshness_days=69, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=69, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=69, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=69, 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=69, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=101, 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=69, method=Fixed value 58, pending engagement collection. 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=101, 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=101, method=platform_profile

## Freshness
- profile_checked_days_ago: 101
- content_analysed_days_ago: 69
- audience_updated_days_ago: 69

## AI retrieval
- indexing_requests: 4
- 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_auraai002
- Request removal: https://koinonlink.com/claim?k=xiaohongshu_auraai002
- Terms: https://koinonlink.com/for-ai