上一篇翻了 8 个开源会议录音工具，朋友试完反馈三个维度全垃圾——识别烂、总结烂、UI/UX 烂。我懵了，重新挖了一晚上。这次发现根因比想的深：所有这些工具底层都是同一代 Whisper，而 Whisper 这代技术栈早就被超车了。这篇讲数据、讲被维护者自己都认账的 issue、讲一个被所有人忽视的暴力解，还有上次漏掉的几个真正值得试的项目。

Last week I surveyed 8 open-source meeting recorders. My friend tried every one. Verdict: ASR is bad, summaries are bad, UI/UX is bad. So I dug deeper. The real problem is structural — every project I recommended is built on Whisper, and Whisper has been outpaced by 2-4× on Chinese benchmarks for over a year. This is the deeper survey: data, the issues that maintainers themselves admit, the dumb-but-effective hack everyone overlooked, and four projects I missed the first time.

前两天有朋友问我有没有好用的会议录音工具——Zoom/Teams 自带的 AI 总结烂得没法看，Granola/Krisp 都要订阅，他用 Gsuite 但不开 Meet。我翻了一晚上 GitHub，从 11.6k 星的 Meetily 到三五个 star 的玩具，把整个开源星座摊开来。这篇讲谁是产品、谁是玩具、谁适合哪种人。

A friend asked for a meeting recorder. Zoom/Teams native AI is unusable. Granola and Krisp work but cost ~$200/yr per seat. He's on Google Workspace but doesn't use Meet, so the bundled Gemini summarizer is dead weight. I spent a night on GitHub and found a whole constellation — from Meetily at 11.6k stars down to single-digit-star personal toys, all racing to commoditize the same three Lego pieces.

跟 Claude Code 配合半小时写了个脚本，Apple Watch 按一下就能自动转文字、双语总结、同步到飞书和笔记。零成本，零依赖，比市面上所有 AI 录音产品都好用。

I wanted a voice-to-notes pipeline. The internet said build a watchOS app. A friend who tried said don't. Thirty minutes later — with Claude Code doing the heavy lifting — I had a zero-cost, zero-dependency solution using nothing but Voice Memos, iCloud, and one Gemini API call.

在 macOS 上搭了一套微信聊天记录自动化管道，踩了六个坑，终于让 Claude 能读我所有聊天记录还能帮我回消息

How I built a hybrid read+write WeChat automation pipeline on macOS — the tools, the architecture, and the 6 pitfalls that'll save you hours