Artwork

Content provided by Lenny Rachitsky. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Lenny Rachitsky or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Inside the expert network training every frontier AI model | Garrett Lord (Handshake CEO)

1:09:50
 
Share
 

Manage episode 502138248 series 3359822
Content provided by Lenny Rachitsky. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Lenny Rachitsky or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Garrett Lord is co-founder and CEO of Handshake, which started as a career network for college students and new grads but recently discovered something extraordinary: they were sitting on the world’s largest network of academic experts—exactly what frontier AI labs desperately needed. With 500,000 PhDs and 3 million advanced degree holders creating training data, in just eight months they’ve built a new business that hit $50 million in revenue in its first four months and is on track to blow past $100M in the first 12 months.

What you’ll learn:

1. How Handshake found an opportunity to leverage their proprietary network of experts to launch a data-labeling business that’s on track to blow past $100 million ARR in 12 months

2. Why AI models need human experts (e.g. physics PhDs) to improve, and what this “data labeling” actually involves

3. Inside the actual work: what a biology PhD does for 8 hours that makes GPT-5 smarter

4. The playbook for building a startup inside a startup: separate teams, separate offices, separate everything

5. Why the shift from “generalist” to “expert” data labeling created a once-in-a-lifetime business opportunity

6. Why AI won’t eliminate entry-level jobs—it’s creating “Iron Man suits” that make junior employees 10x more productive

Brought to you by:

CodeRabbit—Cut code review time and bugs in half. Instantly: https://coderabbit.link/lenny

Orkes—The enterprise platform for reliable applications and agentic workflows: https://www.orkes.io/

Claude.ai—The AI for problem solvers and enterprise: http://claude.ai/

Transcript: https://www.lennysnewsletter.com/p/inside-handshake-garrett-lord

My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/171410958/my-biggest-takeaways-from-this-conversation

Where to find Garrett Lord:

• X: https://x.com/garrettlord

• LinkedIn: https://www.linkedin.com/in/garrettlord/

• Email: [email protected]

Where to find Lenny:

• Newsletter: https://www.lennysnewsletter.com

• X: https://twitter.com/lennysan

• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/

In this episode, we cover:

(00:00) Introduction to Garrett Lord

(05:00) Understanding data labeling and its importance

(13:08) The role of experts in AI model training

(15:35) The future of AI and human collaboration

(24:17) Why AI won’t eliminate entry-level jobs

(27:58) The continuous improvement of AI models

(33:05) The emergence of Handshake’s new business model

(37:07) Incubating new ideas in established companies

(40:42) Handshake's competitive advantage

(45:43) Scaling up and meeting market demand

(48:38) Overcoming challenges and adapting

(53:08) The importance of separate teams and ownership

(57:26) The future of job matching with AI

(01:00:30) The biggest bottlenecks to advancing models further

(01:02:37) Lightning round and final thoughts

Referenced:

• GPQA: https://github.com/idavidrein/gpqa

• Handshake: https://joinhandshake.com/

• OpenAI’s CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter): https://www.lennysnewsletter.com/p/kevin-weil-open-ai

• Inside Bolt: From near-death to ~$40m ARR in 5 months—one of the fastest-growing products in history | Eric Simons (founder and CEO of StackBlitz): https://www.lennysnewsletter.com/p/inside-bolt-eric-simons

• Goldman Sachs: https://www.goldmansachs.com/

• General Motors: https://www.gm.com/

• Google: https://about.google/

• Sahil Bhaiwala on LinkedIn: https://www.linkedin.com/in/sahil-bhaiwala-459b0354/

• Francisco “Paco” Guzman on LinkedIn: https://www.linkedin.com/in/guzmanhe/

• Avery Yip on LinkedIn: https://www.linkedin.com/in/averyyip/

Game of Thrones on HBO: https://www.hbomax.com/shows/game-of-thrones/4f6b4985-2dc9-4ab6-ac79-d60f0860b0ac

• SNOO: https://www.happiestbaby.com/products/snoo-smart-bassinet

• Careers at Handshake: https://joinhandshake.com/careers/

Recommended books:

Zero to One: Notes on Startups, or How to Build the Future: https://www.amazon.com/Zero-One-Notes-Startups-Future/dp/0804139296

The Hard Thing About Hard Things: Building a Business When There Are No Easy Answers―Straight Talk on the Challenges of Entrepreneurship: https://www.amazon.com/Hard-Thing-About-Things-Building/dp/0062273205

Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected].

Lenny may be an investor in the companies discussed.


To hear more, visit www.lennysnewsletter.com
  continue reading

287 episodes

Artwork
iconShare
 
Manage episode 502138248 series 3359822
Content provided by Lenny Rachitsky. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Lenny Rachitsky or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Garrett Lord is co-founder and CEO of Handshake, which started as a career network for college students and new grads but recently discovered something extraordinary: they were sitting on the world’s largest network of academic experts—exactly what frontier AI labs desperately needed. With 500,000 PhDs and 3 million advanced degree holders creating training data, in just eight months they’ve built a new business that hit $50 million in revenue in its first four months and is on track to blow past $100M in the first 12 months.

What you’ll learn:

1. How Handshake found an opportunity to leverage their proprietary network of experts to launch a data-labeling business that’s on track to blow past $100 million ARR in 12 months

2. Why AI models need human experts (e.g. physics PhDs) to improve, and what this “data labeling” actually involves

3. Inside the actual work: what a biology PhD does for 8 hours that makes GPT-5 smarter

4. The playbook for building a startup inside a startup: separate teams, separate offices, separate everything

5. Why the shift from “generalist” to “expert” data labeling created a once-in-a-lifetime business opportunity

6. Why AI won’t eliminate entry-level jobs—it’s creating “Iron Man suits” that make junior employees 10x more productive

Brought to you by:

CodeRabbit—Cut code review time and bugs in half. Instantly: https://coderabbit.link/lenny

Orkes—The enterprise platform for reliable applications and agentic workflows: https://www.orkes.io/

Claude.ai—The AI for problem solvers and enterprise: http://claude.ai/

Transcript: https://www.lennysnewsletter.com/p/inside-handshake-garrett-lord

My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/171410958/my-biggest-takeaways-from-this-conversation

Where to find Garrett Lord:

• X: https://x.com/garrettlord

• LinkedIn: https://www.linkedin.com/in/garrettlord/

• Email: [email protected]

Where to find Lenny:

• Newsletter: https://www.lennysnewsletter.com

• X: https://twitter.com/lennysan

• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/

In this episode, we cover:

(00:00) Introduction to Garrett Lord

(05:00) Understanding data labeling and its importance

(13:08) The role of experts in AI model training

(15:35) The future of AI and human collaboration

(24:17) Why AI won’t eliminate entry-level jobs

(27:58) The continuous improvement of AI models

(33:05) The emergence of Handshake’s new business model

(37:07) Incubating new ideas in established companies

(40:42) Handshake's competitive advantage

(45:43) Scaling up and meeting market demand

(48:38) Overcoming challenges and adapting

(53:08) The importance of separate teams and ownership

(57:26) The future of job matching with AI

(01:00:30) The biggest bottlenecks to advancing models further

(01:02:37) Lightning round and final thoughts

Referenced:

• GPQA: https://github.com/idavidrein/gpqa

• Handshake: https://joinhandshake.com/

• OpenAI’s CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter): https://www.lennysnewsletter.com/p/kevin-weil-open-ai

• Inside Bolt: From near-death to ~$40m ARR in 5 months—one of the fastest-growing products in history | Eric Simons (founder and CEO of StackBlitz): https://www.lennysnewsletter.com/p/inside-bolt-eric-simons

• Goldman Sachs: https://www.goldmansachs.com/

• General Motors: https://www.gm.com/

• Google: https://about.google/

• Sahil Bhaiwala on LinkedIn: https://www.linkedin.com/in/sahil-bhaiwala-459b0354/

• Francisco “Paco” Guzman on LinkedIn: https://www.linkedin.com/in/guzmanhe/

• Avery Yip on LinkedIn: https://www.linkedin.com/in/averyyip/

Game of Thrones on HBO: https://www.hbomax.com/shows/game-of-thrones/4f6b4985-2dc9-4ab6-ac79-d60f0860b0ac

• SNOO: https://www.happiestbaby.com/products/snoo-smart-bassinet

• Careers at Handshake: https://joinhandshake.com/careers/

Recommended books:

Zero to One: Notes on Startups, or How to Build the Future: https://www.amazon.com/Zero-One-Notes-Startups-Future/dp/0804139296

The Hard Thing About Hard Things: Building a Business When There Are No Easy Answers―Straight Talk on the Challenges of Entrepreneurship: https://www.amazon.com/Hard-Thing-About-Things-Building/dp/0062273205

Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected].

Lenny may be an investor in the companies discussed.


To hear more, visit www.lennysnewsletter.com
  continue reading

287 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide

Copyright 2025 | Privacy Policy | Terms of Service | | Copyright
Listen to this show while you explore
Play