Sarah Chan (She/Her)

9-5 tech sales. Past 5 busy being a dog mom.
Ex-Stripe, Salesforce, Amex. UofToronto Alumna

[Abhilash Chowdhary @TheChowdhary]

this is how I would find investors if I had to start from 0

cold emails get ~2% replies, warm intros get 30-40%+, I would focus on finding warm intros by doing this:

1. export your LinkedIn connections (→ Settings → Data Privacy → Get a copy of your data → Connections → Request archive)

2. you will get the CSV via email

3. add that CSV to Claude/Claude Code as context

4) connect the Crustdata MCP (link in comments, will send free trials for this specific use case today, just mention that in the form and I will personally set you up) and ask it to enrich everyone

5) you will then have a list of your entire network + where they work and used to work + where they studied + skills + every single data point about them

6) you then tell Claude about your idea and ask it to use the Crustdata MCP to find VCs/angel investors that are investing in your industry, it will go through every single portfolio to see who is the best fit

7) after it generates you a list, ask Claude to use your enriched list and find connections that overlap with the investor target list:

- People in your network who worked at the same company at the same time as the partner

- People who went to the same school in overlapping years

- Mutual 1st-degree connections

ask Claude to rank the list by the strength of that connection

8) after you have this list of warm intro paths to your target investors, follow up with every single one on that warm intro path (can also ask Claude to generate the outreach for you), it can be something like this:

"hey x,

i'm raising a seed for [one-line description]. [Partner] at [Fund] led the round in [comparable company] last year, and I noticed you two overlapped at [Company, 2018-2020].

would you be open to forwarding a 3-line blurb to [Partner]? Would appreciate it a lot!"

send the 3-line blurb immediately as the second message

[Sarah Chan (She/Her) @SarahChan257]

@TheChowdhary Agreed!!

[Sarah Chan (She/Her) @SarahChan257]

@_tenZdhon_ A lot post coming soon :)

[Sarah Chan (She/Her) @SarahChan257]

TLDR: @Spotify Wrapped… but for your competitor’s hiring moves!!

See exactly:
• Who their hiring
• Which roles they’re doubling down on
• How their team is evolving (in real-time)

Built with @vercel + @crustdata 's apis

[Sarah Chan (She/Her) @SarahChan257]

@TheChowdhary Live love laugh Abhilash’s AI pro tips 🧎‍♀️🧎‍♀️🧎‍♀️🧎‍♀️🧎‍♀️🧎‍♀️

[Abhilash Chowdhary @TheChowdhary]

we’re giving away $100k in free credits to find the best vibe coder this summer

we got hundreds of applications after my last tweet, and there is no easy way to tell who is actually good at vibe coding and who is not

so we’re launching a challenge:

1) we’ll give you free access to our APIs + free credits
2) you’ll have 2 weeks to build something interesting with them
3) then post what you built

we’ll review every project and make one builder an offer to join us this summer

Link in the comments, get your API key!

[Sarah Chan (She/Her) @SarahChan257]

So I pulled the actual data via the Crustdata API and here is what Anthropic's marketing org really looks like...

Over 126 people in total work in marketing @AnthropicAI what is impressive though is that he ran the a typically huge sub-team!

[CG @cgtwts]

This is INSANE, Anthropic ran its marketing with basically one person.

Austin lau, a non-technical growth lead, was running paid search, paid social, email, and seo solo.

Here’s the workflow:

> export ad CSVs into Claude Code
> AI flags underperforming ads
> agents generate new headlines + descriptions
> Figma auto-swaps copy across 100 ad templates
> MCP server pulls live Meta data

The results:

> ad creation went from 2 hours to 15 minutes.
> total marketing output grew 10×.
> conversion rates landed 41% above industry average.

One person doing what used to take an entire marketing team.

[Sarah Chan (She/Her) @SarahChan257]

Claude this...Claude that... am I in a bubble?

I pulled the monthly web traffic data using the Crustdata MCP, results:

1) @ChatGPTapp : 5.4B monthly visits
2) @Gemini : 2.1B monthly visits
3) @claudeai : 290M monthly visits

ChatGPT has 19x more web traffic than Claude

[Abhilash Chowdhary @TheChowdhary]

“It’s not about the money.”

“Then what is it about?”

These lines from the latest F1 movie stuck with me since I watched it yesterday.

And today I see 200+ hackers are building on top of Crustdata in Tokyo! The energy is intense.

I got my answer today but I’m gonna keep asking these hackers who are building towards their next adventure on a Sunday.

[Sarah Chan (She/Her) @SarahChan257]

@AskPerplexity Perplexity is UNDERRATED

I've built demos with it + @crustdata 's API

ASK: use our API to find all the alumni at companies who became founders + see which ones raised the most funding
So I just built an app for him, and it worked!!
Amazing product @AravSrinivas

[Sarah Chan (She/Her) @SarahChan257]

If you want to get hired in tech right now:

Become a GTM Engineer.

I analyzed job postings mentioning “GTM Engineer” using the Crustdata API.

From April → Oct 2025, demand grew 6x.

@chrispisarski inspo

[Sarah Chan (She/Her) @SarahChan257]

@chrispisarski !!!

[Sarah Chan (She/Her) @SarahChan257]

ai agents, they're just like us <3 https://t.co/PFYqYcQHLB

my take on moltbook

[Sarah Chan (She/Her) @SarahChan257]

@Replit is really giving peak @tumblr era

https://t.co/3zXhFXjO5o

[Sarah Chan (She/Her) @SarahChan257]

@TheChowdhary @caitlinbolnick1 !!!!!

[Abhilash Chowdhary @TheChowdhary]

@caitlinbolnick1 Crustdata apis + Claude code

[Sarah Chan (She/Her) @SarahChan257]

broken rung, studied by hundreds of researchers including @McKinsey is still alive and true - the numbers are clear

Women fill 44.3% of senior and middle management roles in the US, yet they hold only 10.4% of CEO positions in the Fortune 500

#brokenrung data with @crustdata

[Sarah Chan (She/Her) @SarahChan257]

@RhysSullivan @crustdata could be your data infra to make sure the ideas are accurate and up to date 👀

[Sarah Chan (She/Her) @SarahChan257]

What this means:

The "bad job market" isn't universal. It's role-specific. If you're in Ops, HR, or Sales - yes, it's tough. The data confirms it.

[Sarah Chan (She/Her) @SarahChan257]

“Job market is the worst it’s been in decades”… how bad and for who?

I analyzed the headcount data across 41 of the world's largest tech companies by market cap, including @Apple @Microsoft @Google @nvidia using the @crustdata api:

#economy #jobmarket @TechCrunch