What are the key takeaways from this a16z Podcast episode?

Key insights include: **Reputation-Based Hiring:** Cosign structures professional discovery around explicit endorsements — one person vouching for another — rather than resume screening or cold applications. With 50,000+ profiles already on the platform, users can browse relationship graphs, trace career trajectories, and identify candidates through trusted referrals, replicating the informal vouching that drives most consequential career moves at scale.; **Curated Lists as Talent Intelligence:** Cosign's list layer allows investors, operators, and writers to publish curated company and people collections. Packy McCormack's Not Boring list, for example, surfaces 36 vetted companies for job seekers. Browsing cosign.co/lists gives access to hundreds of such lists, including Thiel Fellows and Interact Fellows, enabling cross-referencing of talent pools that no single database currently aggregates.; **Agent-to-Agent Professional Matching:** Cosign is building toward a model where personal AI agents negotiate compatibility before humans connect. Rather than cold emails landing in identical inboxes, an agent representing a job seeker could conduct a first-pass conversation with a company's agent, identifying shared goals and complementary skills before escalating to a human hiring manager — eliminating noise from both sides.

What did David Booth and Dhruv Gupta discuss on a16z Podcast?

A16z's David Booth and Dhruv Gupta discuss Cosign, a professional networking platform built around trusted endorsements rather than cold outreach. They cover the newly launched Cosign Awards, which spans 135+ rising stars and 76+ podcaster nominees, and explore how AI agents could automate first-pass professional matching. Key topics include: **Reputation-Based Hiring:** Cosign structures professional discovery around explicit endorsements — one person vouching for another — rather than resume screening or cold applications. With 50,000+ profiles already on the platform, users can browse relationship graphs, trace career trajectories, and identify candidates through trusted referrals, replicating the informal vouching that drives most consequential career moves at scale.; **Curated Lists as Talent Intelligence:** Cosign's list layer allows investors, operators, and writers to publish curated company and people collections. Packy McCormack's Not Boring list, for example, surfaces 36 vetted companies for job seekers. Browsing cosign.co/lists gives access to hundreds of such lists, including Thiel Fellows and Interact Fellows, enabling cross-referencing of talent pools that no single database currently aggregates..

How long is this episode of a16z Podcast?

This episode is 25 minutes long. SignalCast provides an AI-generated summary so you can get the key insights in about 3 minutes.

a16z Podcast

Can AI Fix Professional Networking? | Inside Cosign

October 31, 2026

25 min episode · 2 min read

David Booth,Dhruv Gupta

Episode

25 min

Read time

2 min

Topics

Career Growth, Relationships, Investing

AI-Generated Summary

Published Oct 31, 2026

Key Takeaways

✓Reputation-Based Hiring: Cosign structures professional discovery around explicit endorsements — one person vouching for another — rather than resume screening or cold applications. With 50,000+ profiles already on the platform, users can browse relationship graphs, trace career trajectories, and identify candidates through trusted referrals, replicating the informal vouching that drives most consequential career moves at scale.
✓Curated Lists as Talent Intelligence: Cosign's list layer allows investors, operators, and writers to publish curated company and people collections. Packy McCormack's Not Boring list, for example, surfaces 36 vetted companies for job seekers. Browsing cosign.co/lists gives access to hundreds of such lists, including Thiel Fellows and Interact Fellows, enabling cross-referencing of talent pools that no single database currently aggregates.
✓Agent-to-Agent Professional Matching: Cosign is building toward a model where personal AI agents negotiate compatibility before humans connect. Rather than cold emails landing in identical inboxes, an agent representing a job seeker could conduct a first-pass conversation with a company's agent, identifying shared goals and complementary skills before escalating to a human hiring manager — eliminating noise from both sides.
✓Surface Area for Luck: David Booth frames Cosign's core value as expanding a user's probabilistic exposure to career-changing encounters. Building out a Cosign profile, engaging with the agent via iMessage or MCP integrations with tools like Grok and Claude, and participating in awards nominations all increase the likelihood that a future co-founder, employer, or collaborator discovers you through the platform's relationship graph.
✓MCP Access Unlocks Hidden Startup Talent Data: Cosign offers a personal MCP that connects to external AI tools, enabling structured search across its graph — something LinkedIn explicitly does not provide. Dhruv Gupta notes that queries like "best biotech startups in New York" return poor results from Gemini and ChatGPT because that data layer is missing; Cosign aims to become the structured source answering those questions with personalized, graph-informed responses.

What It Covers

A16z's David Booth and Dhruv Gupta discuss Cosign, a professional networking platform built around trusted endorsements rather than cold outreach. They cover the newly launched Cosign Awards, which spans 135+ rising stars and 76+ podcaster nominees, and explore how AI agents could automate first-pass professional matching.

Key Questions Answered

•Reputation-Based Hiring: Cosign structures professional discovery around explicit endorsements — one person vouching for another — rather than resume screening or cold applications. With 50,000+ profiles already on the platform, users can browse relationship graphs, trace career trajectories, and identify candidates through trusted referrals, replicating the informal vouching that drives most consequential career moves at scale.
•Curated Lists as Talent Intelligence: Cosign's list layer allows investors, operators, and writers to publish curated company and people collections. Packy McCormack's Not Boring list, for example, surfaces 36 vetted companies for job seekers. Browsing cosign.co/lists gives access to hundreds of such lists, including Thiel Fellows and Interact Fellows, enabling cross-referencing of talent pools that no single database currently aggregates.
•Agent-to-Agent Professional Matching: Cosign is building toward a model where personal AI agents negotiate compatibility before humans connect. Rather than cold emails landing in identical inboxes, an agent representing a job seeker could conduct a first-pass conversation with a company's agent, identifying shared goals and complementary skills before escalating to a human hiring manager — eliminating noise from both sides.
•Surface Area for Luck: David Booth frames Cosign's core value as expanding a user's probabilistic exposure to career-changing encounters. Building out a Cosign profile, engaging with the agent via iMessage or MCP integrations with tools like Grok and Claude, and participating in awards nominations all increase the likelihood that a future co-founder, employer, or collaborator discovers you through the platform's relationship graph.
•MCP Access Unlocks Hidden Startup Talent Data: Cosign offers a personal MCP that connects to external AI tools, enabling structured search across its graph — something LinkedIn explicitly does not provide. Dhruv Gupta notes that queries like "best biotech startups in New York" return poor results from Gemini and ChatGPT because that data layer is missing; Cosign aims to become the structured source answering those questions with personalized, graph-informed responses.

Notable Moment

Gupta recounts how his entire entry into the San Francisco tech ecosystem came from a single person — MTS CEO Brent — recognizing his work at Polymarket and taking a chance on him. Without that one endorsement, his career path into tech would not have existed.

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Episode Transcript

What if I'm looking for a job, and in fact, like, my agent should be able to connect with the company's agent and do a first pass of whether it's worth elevating me to the hiring manager, or maybe it's Drew and I are looking to connect, and and as our agents are having a first, you know, conversation, conversation, whether it's like, what are our mutual goals? What is the, the coincidence of intents? And is there one here? Where if there is, then the agents can connect us. The biggest opportunities in your career often come down to one person willing willing to vouch for you. What happens when you turn that signal into a network? In this episode of MTS, Sofia sits down with a sixteen z New Media's David Booth and Dhruv Gupta to discuss cosign and the new cosign awards, recognizing the operators behind some of the most successful companies. They also explore a bigger idea, a professional network built around reputation and trusted relationships where AI agents could eventually connect people and companies without the noise of job boards and cold outreach. The goal is to increase what David calls your surface area for luck. Hello, everyone. Welcome back to MTS. Today, we are joined live by two guests. We got David Booth here and Dhruv Gupta. They're both from a sixteen z's new medium team, and they just launched cosign awards. So excited to have you guys on MTS today to talk a little bit about it. Excited to be here. Dad, do you wanna kick us off with what Yeah. Yeah. Let's kick it off. We did. Mean, we're coming in towards the end 2026, and it's been crazy. It's been a crazy year. One of the things we keep seeing again and again is that, sometimes, you know, the the people that get the recognition public, the the founders, the CEOs, the face of the company. But more and more, and this year in particular, I think going forward, there's across all of the functions, there's like one or two or, you know, there's there's some smaller number of people who are just the operators who are, like, having the most impact. They can single handedly turn a company's trajectory around. They can, you know, single handedly have the... Have more impact than anyone across it. So Coastline Awards is honestly... The the first idea was, well, can we shine a spotlight on who are the people that had the most impact across the year? Which are the companies that have the highest talent density that, you know, have the most impact on the world, but also could have the most impact on your career? Which of the products that had the most impact throughout the year? And so bring that together and and to do this combination of, like, the incredible opportunity for people to nominate Yeah. Those that they see that someone might not see. And also for people …

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