CHAPTERS
- 0:00 – 0:51
Why spotting talent early is the ultimate competitive advantage
The hosts frame talent discovery as a market-beating skill: identifying people and ideas before consensus forms. They introduce “cosigns” (public endorsements) as a powerful, underutilized signal that opens doors for the endorsed and rewards the discoverer.
- •Early identification matters across investing, hiring, and product bets
- •Peer-to-peer credentialing (who follows/endorses you) can outweigh traditional credentials
- •Cosigns create value for both the recipient (access) and the giver (being first)
- 0:51 – 4:12
What Cosign is: turning reputation ‘exhaust’ into a usable directory
Cosign is introduced as a comprehensive, free directory for the startup community—people, companies, and relationships—built around professional reputation. The team positions it as capturing signals that already exist across the internet and making them legible and actionable.
- •Cosign aims to be the most comprehensive people/company directory for startups
- •Reputation signals already exist as ‘exhaust’ (e.g., follows, praise, introductions)
- •Free access differentiates it from paid databases (PitchBook/Crunchbase)
- •Product stance: positive, accurate, and designed for showcasing strengths
- 4:12 – 6:18
The three core endorsement signals: mentors, trenches, and ‘people to watch’
Erik outlines the three baseline cosign types he wants on every profile: who shaped your career, who you’d work with anywhere, and who is a person to watch. These are meant to be more granular and more meaningful than a generic ‘connection’ or ‘follow.’
- •‘Who shaped your career’ captures mentorship as a Silicon Valley primitive
- •‘Work with anywhere/in the trenches’ reflects real operating trust
- •‘Person to watch’ encodes emerging talent and future conviction
- •Rank-ordering endorsements adds resolution beyond binary signals
- 6:18 – 7:35
Information asymmetry in hiring and investing—and why endorsements are the missing data
The discussion shifts to how hard it is for most people (especially early-career candidates) to access the same reference-level signal VCs use daily. Cosign is positioned as infrastructure for recording conviction—who believes in whom—so decisions like hiring, joining, and investing become less guesswork.
- •VCs constantly ping networks for real reads; it’s labor-intensive even for insiders
- •Entry-level candidates can’t replicate this diligence—leading to missed ‘rocket ships’
- •‘Who has conviction in who’ is described as Silicon Valley’s most valuable data
- •Handling reputational data requires care, but the opportunity is massive
- 7:35 – 10:39
From a curated startup-job newsletter to a scalable, community-driven discovery layer
A guest shares how a long-running weekly newsletter curated startup jobs using insider perspective to help young talent find credible companies. Cosign is framed as the scalable evolution: a living directory where people can put their reputations behind companies and individuals.
- •Newsletter curation solved an early problem: differentiating startups/founders
- •Community effects: scouts became founders; network compounding over years
- •Rising noise in startup creation increases the need for trustworthy signal
- •Examples like analysts curating ‘companies to join’ become public reputation bets
- 10:39 – 12:52
Recording ‘being first’: social capital investing and the hipster leaderboard problem
David Booth explains the absence of a system that credits people for early, correct talent/company discovery—outside of financial investing. Cosign is framed as a way to invest social capital formally: introductions and endorsements that can be reused and recognized over time.
- •There’s no durable record of who discovered what/whom first
- •Introductions function as reputation-backed bets; Cosign makes them portable
- •Cosigning can ‘lubricate’ opportunity by reducing cold-start friction for talent
- •Naval’s idea: be so good people do business through you—enabled by cosigns
- 12:52 – 18:35
Private intent + public lists: making matchmaking persistent across time
They describe two complementary layers: private signals (interest in hiring/funding/meeting) and public lists (endorsed people/companies). This turns ad-hoc memory and timing into a persistent system that can match needs when both sides are ready—without awkward outreach.
- •Private signals capture high-intent interest without the cost of a DM
- •Public lists let you share curated talent pools with founders/teams quickly
- •Persistent storage solves timing mismatches (jobs, exits, acquisitions)
- •Cosign enables everyone to be a ‘people matcher’ with durable context
- 18:35 – 21:07
Designing the feed: questions, announcements, and high-density signal
The product feed is intentionally constrained to questions and announcements to avoid noisy social posting and to maximize actionable reputation. Announcements (fundraises, job changes) become moments to attach endorsements to durable profiles; questions build curated lists over time.
- •Feed focus: questions (‘who’s best at X?’) and announcements (fundraise, job switch)
- •Goal: convert ephemeral social moments into durable reputation artifacts
- •Questions create structured discovery and list-building; announcements trigger cosigns
- •Signal density is prioritized over engagement bait
- 21:07 – 24:51
Public cosigns as social capital: celebrating work and making praise legible
They discuss the psychology and incentives of public endorsement: people endorse selectively because it reflects back on them. Cosign leans into positivity and celebration—capturing meaningful praise and making it visible on profiles rather than lost in timelines.
- •Endorsements are scarce because public vouching is reputationally costly
- •The product wins by enabling positive showcasing, not permanent critique
- •Captures meaningful ‘moments’ (e.g., major shoutouts) and pins them to profiles
- •Expands recognition beyond founders to operators and behind-the-scenes talent
- 24:51 – 28:31
Recognizing operators: Rise Awards, hidden contributors, and portable accomplishment
The conversation revisits Rise Awards—created to spotlight non-founder contributors—and connects that mission to Cosign. They argue many pivotal early employees/operators can’t easily carry their impact forward; durable endorsements make that work visible and transferable.
- •Rise Awards highlighted engineers/designers/PMs—‘everybody else’ in the company
- •Hidden contributors often determine outcomes but aren’t publicly legible
- •Cosign aims to let people ‘carry’ accomplishments between roles/companies
- •Reputation becomes more efficient and ‘liquid’ when awareness increases
- 28:31 – 34:25
Why LinkedIn and X fall short: single-signal graphs, ephemerality, and missing context
They critique current platforms: X has valuable reputation exhaust but lacks professional intent and portability; LinkedIn has massive network effects but flattens relationship strength into a binary connection. Cosign targets granular relationship context and durable endorsements as a complementary layer, not a replacement.
- •LinkedIn’s core signal (‘connected’) became diluted as networks became collectible
- •LinkedIn lacks granular relationship context (team, manager, trenches, trust)
- •X is rich but ephemeral; hard to extract/retain reputation and intent signals
- •Cosign differentiates: professional reputation (not just identity) and intent granularity
- 34:25 – 46:18
AI-era recruiting: infinite inbound makes human conviction the scarce resource
They argue AI will massively increase outreach volume, making it harder to sift signal from noise. In that environment, high-conviction human endorsements become the key filter; Cosign is positioned as infrastructure to encode that scarce signal at scale.
- •Broadcast posts already generate overwhelming inbound (2,000+ responses)
- •AI will amplify volume further; sifting becomes the bottleneck
- •Human conviction/endorsement becomes more valuable as automation rises
- •Cosign aims to provide vetted community signal instead of raw reach
- 46:18 – 49:51
Silicon Valley’s meritocracy and the power of being first—answering the ‘alpha’ critique
They close by tying cosigns to Silicon Valley’s meritocratic flywheel: early belief from respected people can accelerate unknown talent into prominence. They address the objection that sharing cosigns gives away ‘alpha,’ arguing the long-term payoff is that people remember and reward early believers most.
- •Cosigns have historically ‘made’ careers (examples: early endorsements and introductions)
- •Silicon Valley rewards talent quickly when credible people vouch early
- •Public ‘first belief’ compounds: recipients remember early supporters disproportionately
- •Long-term framing: cosign future greatness early to earn trust and access later
