We measure the New York AI economy.
Who is building, who is hiring, what it pays, and what is happening — read every morning from the companies’ own boards, not from an aggregator. Neuronify is a publication about one city’s AI market, written by people who work in it.
What we measure
Four questions, answered continuously
Most coverage of this market arrives as a quarterly report about a moment that has already passed. We chose the questions an operator actually asks, and answer them on a daily cadence instead.
A job posting disappears the day it is filled. We write it down first — which is why we can say what closed, how fast, and what that implies about who is staffing up.
Who is building
The hundred AI companies that matter in New York — tiered, sourced, and revised annually, with exits and out-of-town outposts tracked separately.
Who is hiring
Every live opening at those companies, read each morning from their own job boards. No aggregator lag, no listings that were filled three weeks ago.
What it pays
Salary and rate benchmarks for AI engineers, ML engineers, and consultants, taken from posted ranges rather than self-reported surveys.
What is happening
The meetups, demo nights, and conferences worth the subway ride, refreshed monthly so the calendar is never a graveyard.
Why we read it this way
We are in this market, not watching it.
This index is built by people who have started companies, sold one, hired for these exact roles, and made more than a hundred angel investments in AI.
That is not a credential to wave around. It is the reason the data is cut the way it is. When we track how long a role stays open, which function a company staffs first, or which model provider spreads across boards, we are looking for the signals we would want as an operator deciding what to build — or as an investor deciding what to back.
A job board counts postings. We are trying to read what the postings mean, and we have skin in whether that reading is right.
What we do with it
Measuring the market is how we learned to judge the people in it.
Reading every AI job posting in New York teaches you what companies actually need — and how little a résumé tells you about who can deliver it. So we also run a small vetted network.
Vet
Scenario-based assessment of production judgment — retrieval, evaluation, security, scoping — not resume keywords. Consultancies get verified references and architecture reviews.
Match
One brief, one 15-minute scoping call, then two to three curated introductions under double opt-in. Days, not weeks — and you choose.
Stand behind it
We stay in the loop through delivery, and we earn our fee only when the match works. Accountability is the product.
Building skills rather than systems? We match teams with vetted AI training partners too — same verification model, different craft. And our free tools are free for everyone, no strings.
Who we are
Operators, writing for operators
Founder and CEO of Scalable Ventures, a venture lab building AI-native B2B software. He co-founded UnifyCX, growing it from a startup to more than 6,000 employees internationally, and invests as a general partner at Unbridled Ventures — two decades of doing the hiring at the scale this index measures.
CEO and co-founder of Neurometric, optimizing inference for multi-model AI systems. He built Backupify with Vik before its acquisition by Datto, then founded Talla, has made over a hundred angel investments in AI, and writes Investing in AI, an electrical engineer’s read on the infrastructure.
Experience like that is easy to claim and hard to check from the outside, which is why we count rather than opine. Tracking who is hiring, for what, and at what it pays is the closest thing to an honest read on a market where everyone claims expertise — and it is what any judgment we make about people has to rest on.
Read it every morning.
The Hiring Index tracks what opened, what closed, and what it pays across New York’s AI companies. Or if you have something to build, tell us about it.