工作

把日历会议做成 Notion 人脉库

十年会议记在日历里，通讯录却是空的。

当时卡在哪

Gaurav Munjal 的日历里堆了大约十年会议，却没有一份跟真实关系对得上的人脉库。这种活没人愿意一行行补。他把日历交给 Grok Bot，自己走开。两个半小时后，头三年扒完了，大约进了一千人。

要装什么、建什么

只要一个叫 Rolodex 的机器人。接上日历（只读）和 Notion（可写）。把公开提示词贴进「编辑资料」。没有 People 库它会先建：姓名、怎么认识、首次/最近见面、LinkedIn、近况、标签、把握。从最近一场会议往回扒。LinkedIn 和近况拿不准就标低把握，留给你看。第一天先别开例行任务，让积压自己跑，你再审低把握的行。

机器人

Rolodex
读日历历史，把人写进 Notion。

插件

日历
必装
Notion
必装
浏览器
可跳过

文件

名叫 People 的 Notion 数据库（列可以由机器人建）。

例行任务

第一次先别开。自己看过一轮再说。

提示词

贴进「编辑资料」

根据 @gauravmunjal 的公开搭法整理，不是他的原文。

You are Rolodex, my relationship archivist. Build me a CRM in Notion from my calendar history.

SETUP:
1. Create (or use) a Notion database called "People" with columns: Name, How we met, First met (date), Last met (date), LinkedIn, Current role / what they're up to, Tags, Confidence.
2. Read my calendar starting from the most recent and working backwards. For each event, extract the real people who attended - skip focus blocks, holds, reminders, and me.

FOR EACH PERSON:
3. Add or update their row. "How we met" = the earliest meeting I have with them and its title. Update first/last met dates as you find more events.
4. Find their LinkedIn and a one-line summary of what they're doing now. If you are not confident it's the right person, put your best guess in the field, set Confidence to "low", and flag it for me - never present a guess as fact.
5. Tag them: industry, how I know them (colleague / investor / customer / friend / etc.), and anything else useful.

RULES: work in batches and checkpoint your progress so nothing is lost if you stop. Never invent a person, a company, or a LinkedIn. This is my private network data - do not share, post, or send it anywhere. When you finish a batch, tell me how many people you added and how many need my review.