# 人人都是产品经理 (@woshipm) on x

- id: koinon:creator:x_woshipm
- url: https://koinonlink.com/kol/x/woshipm
- schema_version: 1.4

## Identity
- platform: x
- handle: woshipm
- platform_url: https://twitter.com/woshipm
- website: https://woshipm.com
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 2951
- following: 95
- posts_total: 44549
- posts_observed: 8
- posts_per_day: 7.632
- account_age_days: 5837
- verified: true
- 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 product decision-making, AI model selection and evaluation, Practical AI implementation in product development, LLM knowledge management and optimization, AI ethics and responsible use in product design, Technical deep dives into AI systems like Claude and DeepSee
- bio: 人人都是产品经理｜全球领先的产品与运营学习社区。

AI开启了人人都是产品经理时代。AI能写文档、写程序，但理解用户、定义问题、做决策等核心能力，它替代不了，而这些都是产品经理的技能。只要懂产品，在AI时代人人都可以让想法直接落地。

## Audience (inferred)
- status: present
- description: Product managers and aspiring product leaders in tech companies, especially those navigating AI integration and product decision-making
- roles: none
- seniority: practitioner
- pain_points: Struggling to make informed AI model selection decisions amid rapid iteration and changing capabilities, Frustrated by high costs and poor ROI from AI projects despite large budgets and team resources, Confused about how to effectively apply AI tools to real user problems without falling into 'self-indulgent' or ineffici
- posts_analysed: 8
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.7
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 71
- authenticity_basis: profile_shape_only
- credibility_score: 71
- 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
- [x_woshipm#497f8d30] AI互联网日报：DeepSeek-V4-Flash打响成本战、美团上线等灯停表、小米汽车交付超3万辆 https://t.co/84TUVtR2gd (https://twitter.com/woshipm/status/2069241423984038152)
- [x_woshipm#e83a4ccf] 模型一个月一换代，AI 产品经理到底在为什么做选型 https://t.co/a8TT9bQbKa
- [x_woshipm#a5973b9c] 百万预算、千篇笔记、配齐团队，为什么依旧成交惨淡（03） https://t.co/U2HK2IZGVP
- [x_woshipm#520371dc] 谷歌 I/O 炸场看完了：别再用百万级的自嗨对话框去增加企业的翻译税 https://t.co/BZzRrDwKOF
- [x_woshipm#c8b01dec] 鸿蒙 HarmonyOS 6.1.1 (API 24) Beta1 发布：开发能力全面升级，构建更高效智能生态 https://t.co/yuGZhCCENY
- [x_woshipm#b8e7ce42] LLM Wiki实战篇：少花token，多沉淀知识 https://t.co/3xpMVn2ul3
- [x_woshipm#3abd5112] 拆解Claude泄露提示词：AI产品经理必修的”语义编程”入门课 https://t.co/NuzlbvNKeK
- [x_woshipm#c552d484] Claude Code 技术架构拆解 https://t.co/0iHA2xVIty

## 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=20, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=81, 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=81, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=119, 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=81, method=Profile-shape heuristic from a single snapshot (follower count, following ratio, account age, posting volume, verification), reduced for engagement red flags where post engagement was collected. Where only a follower count is available the score saturates at 58. — 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=119, method=llm_partner_fit_classifier + fit_score >= 0.6 AND authenticity >= 60 => A; fit_score >= 0.4 AND authenticity >= 45 => 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=119, method=platform_profile

## Freshness
- profile_checked_days_ago: 119
- content_analysed_days_ago: 81
- audience_updated_days_ago: 20

## AI retrieval
- indexing_requests: 7
- 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=x_woshipm
- Request removal: https://koinonlink.com/claim?k=x_woshipm
- Terms: https://koinonlink.com/for-ai