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News & insights

Expert analysis, bringing the latest R&D talent insights and market perspectives.

Artificial Intelligence, Science talent

April 13, 2026

Mapping the World’s Rarest Talent: Zeki Powers the 2026 Stanford AI Index 

GTM, Deep-Tech, Hiring

March 27, 2026

The Interview Is Too Late

Most companies still treat the interview as the point where hiring becomes intelligent. In high-stakes Go-to-Market (GTM) hiring, it is too late.

Deep-Tech, Artificial Intelligence, GTM, Scale-Up, Science talent

February 26, 2026

Stop Hiring Narratives. Start Hiring Proof. Why Verified Talent Intelligence Matters.

In 2026, hiring isn’t about who sounds right. It’s about what’s verifiably true—and whether that truth maps to the outcomes the next 12 months require.

GTM, Deep-Tech

February 20, 2026

Stop Debating “GTM vs Engineering” Growth. Start Sequencing.

Stop asking, “Are we GTM-heavy or engineering-heavy?” Ask: What must be proven next—and what is blocking that proof: product truth, distribution, or the interface between them?
woman sitting at computer with bluetooth headphones talking to monitor

GTM, Artificial Intelligence, Deep-Tech, Science talent

February 11, 2026

The Hiring Signal Is Broken: Stop Betting on Self‑Reported Evidence for GTM Roles

Hiring used to be hard because the right candidates were rare. Now it’s hard because the inputs are easy to manufacture. When applications can be generated at scale—and recruiters are being overwhelmed by AI‑assisted submissions—polish stops being a proxy for competence.
A woman's eyes and hair are visible over the top of a computer screen

GTM, Deep-Tech

February 2, 2026

Your Next GTM Hire Isn’t a Title. It’s a Missing Capability

This is the first article in a series about GTM roles—not GTM as a concept, but GTM as a set of capabilities carried by people. We’ll break down the roles, how AI is changing the mix, and how to hire “precision” value-add operators who create leverage quickly.
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