Hey everyone, I’ve been working on a project called CodeMap , and I’m at a point where I really need some honest, constructive feedback from fellow developers. The Problem: We’ve all been there: you join a new project, inherit a legacy codebase, or come back to your own code after 6 months, and it feels like you're deciphering a foreign language. You spend hours clicking through files, trying to trace dependencies. Sure, you can paste snippets into an AI chatbot, but you just get a wal
痛点：接手新项目或遗留代码库时，理解代码结构和依赖关系极其耗时，现有 AI 聊天工具只能给出大段文字，缺乏可视化上下文。
目标用户：需要快速接手遗留代码库的开发者、外包/接盘项目的独立开发者、新入职工程师和技术团队 lead
证据："you join a new project, inherit a legacy codebase, or come back to your own code after 6 months, and it feels like you're deciphering a foreign language. You spend hours clicking through files, trying to trace dependencies. Sure, you can paste snippets into an AI chatbot, but you just get a wall of text with zero visual context"
变现：Freemium：公开仓库免费，私有仓库/团队协作按月订阅（$9-19/seat）；或按仓库扫描次数计费；企业版提供私有化部署与自托管
MVP：两周内用 Python AST 解析 + Cytoscape.js 做渐进式依赖图，接一个 LLM 生成节点摘要，只支持 Python/JS 单仓库，登录后可视化私有仓库并导出 PNG/PDF
竞品：Sourcegraph、CodeSee、Swimm、GitDiagram、DeepWiki、Sourcery、Understand
摘要：作者发布 CodeMap，一个把 GitHub 仓库转成可交互层级依赖图的 AI 工具，点击节点可看自然语言摘要、import 关系和源码。痛点真实（遗留代码库理解成本高、AI 聊天缺乏可视化上下文），但帖子是自荐 launch，没有任何付费意愿原话或收入数据，且同类工具（Sourcegraph、CodeSee、GitDiagram 等）已相当拥挤。