Update nexus: fix conflicts and sync local changes
This commit is contained in:
Shen Wei
@@ -1,45 +1,45 @@
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---
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title: "Market Research & Product Factory"
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type: source
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tags: []
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date: 2026-04-17
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---
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## Source File
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- [[Agent/usecases/market-research-product-factory.md]]
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## Summary（用中文描述）
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- 核心主题：AI Agent 驱动的"从市场调研到产品构建"全自动化流水线
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- 问题域：创业者/个人开发者的"不知道做什么产品"困境，替代传统手动论坛/社媒浏览式调研
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- 方法/机制：Last 30 Days skill 挖掘 Reddit 和 X 近30天真实用户痛点 → OpenClaw 根据痛点构建 MVP → 完整"发现问题→验证需求→构建方案"闭环
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- 结论/价值：**创业自动驾驶模式**（entrepreneurship on autopilot）—— 发短信即可完成调研到原型的全部流程，无需技术背景
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## Key Claims（用中文描述）
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- Last 30 Days skill 提供未经加工的真实用户情绪，区别于经过美化的调查数据
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- OpenClaw 同时承担研究和构建双重角色，用户无需技术背景
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- 定期调度（如每周一）可持续追踪市场痛点演化
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- 该流水线适合任何领域的产品机会发现，不限于特定行业
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## Key Quotes
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> "You want to build a product but don't know what to build." — 核心痛点定义
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> "Real world example: OpenClaw identifies three pain points → user asks for an app → OpenClaw ships it → You have a product." — 端到端价值闭环
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> "Entrepreneurship on autopilot: find problems → validate demand → build solutions, all through text messages." — 模式定义
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## Key Concepts
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- [[Pain Point Mining]]：通过社媒挖掘真实用户投诉和功能需求
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- [[Startup MVP Pipeline]]：从市场调研到最小可行产品的自动化流程
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- [[Agent-Driven Market Research]]：AI Agent 替代人工进行持续性市场情报收集
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- [[Last 30 Days Method]]：聚焦近期用户讨论以获取时效性洞察的方法论
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## Key Entities
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- [[Last 30 Days Skill]]：Matt Van Horne 开发的市场调研 skill，通过 Reddit 和 X 挖掘近30天用户痛点
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- [[OpenClaw]]：多 Agent 框架，同时承担研究和构建职责
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- [[Alex Finn]]：发布"改变人生的 OpenClaw 用法"视频的创作者，本方案的灵感来源
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- [[Matt Van Horne]]：Last 30 Days skill 的作者
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## Connections
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- [[content-factory]] ← extends ← [[market-research-product-factory]]：前者侧重内容创作调研，后者侧重产品机会发现
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- [[product-trend-researcher]] ← depends_on ← [[Last 30 Days Skill]]：产品趋势研究员依赖 Last 30 Days skill 获取数据
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## Contradictions
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- 暂无已知冲突
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---
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title: "Market Research & Product Factory"
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type: source
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tags: []
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date: 2026-04-17
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---
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## Source File
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- [[Agent/usecases/market-research-product-factory.md]]
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## Summary（用中文描述）
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- 核心主题：AI Agent 驱动的"从市场调研到产品构建"全自动化流水线
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- 问题域：创业者/个人开发者的"不知道做什么产品"困境，替代传统手动论坛/社媒浏览式调研
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- 方法/机制：Last 30 Days skill 挖掘 Reddit 和 X 近30天真实用户痛点 → OpenClaw 根据痛点构建 MVP → 完整"发现问题→验证需求→构建方案"闭环
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- 结论/价值：**创业自动驾驶模式**（entrepreneurship on autopilot）—— 发短信即可完成调研到原型的全部流程，无需技术背景
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## Key Claims（用中文描述）
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- Last 30 Days skill 提供未经加工的真实用户情绪，区别于经过美化的调查数据
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- OpenClaw 同时承担研究和构建双重角色，用户无需技术背景
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- 定期调度（如每周一）可持续追踪市场痛点演化
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- 该流水线适合任何领域的产品机会发现，不限于特定行业
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## Key Quotes
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> "You want to build a product but don't know what to build." — 核心痛点定义
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> "Real world example: OpenClaw identifies three pain points → user asks for an app → OpenClaw ships it → You have a product." — 端到端价值闭环
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> "Entrepreneurship on autopilot: find problems → validate demand → build solutions, all through text messages." — 模式定义
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## Key Concepts
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- [[Pain Point Mining]]：通过社媒挖掘真实用户投诉和功能需求
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- [[Startup MVP Pipeline]]：从市场调研到最小可行产品的自动化流程
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- [[Agent-Driven Market Research]]：AI Agent 替代人工进行持续性市场情报收集
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- [[Last 30 Days Method]]：聚焦近期用户讨论以获取时效性洞察的方法论
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## Key Entities
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- [[Last 30 Days Skill]]：Matt Van Horne 开发的市场调研 skill，通过 Reddit 和 X 挖掘近30天用户痛点
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- [[OpenClaw]]：多 Agent 框架，同时承担研究和构建职责
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- [[Alex Finn]]：发布"改变人生的 OpenClaw 用法"视频的创作者，本方案的灵感来源
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- [[Matt Van Horne]]：Last 30 Days skill 的作者
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## Connections
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- [[content-factory]] ← extends ← [[market-research-product-factory]]：前者侧重内容创作调研，后者侧重产品机会发现
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- [[product-trend-researcher]] ← depends_on ← [[Last 30 Days Skill]]：产品趋势研究员依赖 Last 30 Days skill 获取数据
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## Contradictions
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- 暂无已知冲突
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