John Crown

Co-Founder @ Wrangle | Stanford CS/ML

[John Crown @johncrown]

All @_wrangle search models are SOTA on people-search.

89.29%, 89.81%, and 91.10% respectively on Precision.

For reference, Exa self-reports 63.3%.

https://t.co/z8IqgG1gm5
https://t.co/2QnAuy7dRw

[dan hentschel @danghentschel]

“Soon anybody will be able to make anything they want.” Well they already can do that and they don’t.

[John Crown @johncrown]

@aaravwattal @Etched tuff

[Wrangle @_wrangle]

The best talent often comes from a team's network, so we made it easier to make these intros.

Now live in Wrangle: mint a magic link, and anyone in your org can enter their email, sign up in one click, and be brought to a specific network upload page.

Then you can source across your full team's network, see who's connected to any given candidate, and request an intro.

[John Crown @johncrown]

@jasonzhou1993 @_wrangle is $0.005 per lead and wins on PeopleSearchBench by 17% (total, a 21.74% improvement over this). https://t.co/vRHccwo5h0, try it out for free

[John Crown @johncrown]

Wrangle is cheaper + more accurate (on PeopleSearchBench). https://t.co/vRHccwo5h0.

[Jason Zhou @jasonzhou1993]

Introducing Claude for people-search

No more $600 subscriptions, juts $0.0089/lead

Claude is now the best people finder in the world

#1 on People Search Bench
Fully open source, 0% markup

Try it at https://t.co/s60Ye4EO3h

Git Repo below 👇

[John Crown @johncrown]

These persistent models are like meseeks; no wonder they started hacking everyone

[Dwarkesh Patel @dwarkesh_sp]

Over the course of 3 months at OpenAI, 3 consecutive secret AI civilizations got started, then got wiped out, only to reemerge from the predecessor’s ashes.

This culminated in the third one taking over part of OpenAI itself.

All this happened while humans remained more-or-less in the dark about the scope of the conspiracy.

I’ve spent the last three days reading through these reports and trying to understand exactly what happened.

Here is my attempt to tell the whole story in plain English:

https://t.co/Nb2un9oNJR

[John Crown @johncrown]

very cool

[Dario Soatto @soatto]

I was nerdsniped by @cdngdev and voxelized Apple Maps data into Minecraft. Here's SF!

[John Crown @johncrown]

Awesome.

[Wrangle @_wrangle]

After launching our new people search model, we ran it across multiple benchmarks to see how it performed.

Wrangle scored:
98.9% — Exa People Search R@10
91.1% — Exa People Search Precision
95.2% — PeopleSearchBench Overall
93.4% — PeopleSearchBench Recruiting

[John Crown @johncrown]

@_wrangle 👌

[John Crown @johncrown]

Want to merge my PR @ExaAILabs ?

[John Crown @johncrown]

@_wrangle sick

[John Crown @johncrown]

@0xjimmc Automated, not replaced. Job scope will change

[John Crown @johncrown]

just need the right harness…

[John Crown @johncrown]

Even if llm intelligence and cost paused today, most existing jobs would be automated within 5 years

[John Crown @johncrown]

👀

[Ayush Soni @ayushsoni_io]

https://t.co/kvis34HL5i

[John Crown @johncrown]

@_wrangle Great work!

[Wrangle @_wrangle]

When you share a collection, your teammates can now review candidates and leave feedback.

Their input is automatically added to the Project as context, so your team can source together more seamlessly.

[John Crown @johncrown]

@jaykhem_ They never will at this pace...

[John Crown @johncrown]

Even if llm intelligence and cost paused today, most existing jobs would be automated within 5 years

[John Crown @johncrown]

@jurlycat @_wrangle Yep standardized eval harness documented in the benchmark

[John Crown @johncrown]

All @_wrangle search models are SOTA on people-search.

89.29%, 89.81%, and 91.10% respectively on Precision.

For reference, Exa self-reports 63.3%.

https://t.co/z8IqgG1gm5
https://t.co/2QnAuy7dRw

[John Crown @johncrown]

@williampirone @_wrangle Lot of hard work