MICHAEL
YAN

He changed "86400" to "3600" in a URL. That's it. That two-second tweak - converting LinkedIn's filter from jobs posted in the past day to jobs posted in the past hour - landed Michael Yan interviews at Meta and Microsoft. He wasn't gaming the system. He was reading it. The fact that he then built a platform to automate this kind of thinking for a million other people says everything about how his mind works.

Yan grew up in Morgantown, West Virginia. That's not startup country. That's not "disruption" territory. That's a mid-size college town where the University of West Virginia is the defining institution and tech ambition is measured in different units. Getting from Morgantown to Stanford is already an unusual trajectory. Dropping out of Stanford to build a company is a different species of decision entirely - one that requires either extraordinary conviction or a problem so obvious it won't let you look away.

That problem was the job search. Specifically: the job search as experienced by every college student who isn't already connected to a recruiter, doesn't have a family friend at Goldman, and isn't sure whether their resume uses the right keywords for an ATS they've never heard of. Yan met his first co-founder, Ethan Horoschak, in their freshman dorm at Stanford. They met their third, Rushil Srivastava, at a hackathon. The origin story is almost suspiciously textbook - except for the West Virginia part.

Simplify launched into Y Combinator's Winter 2021 cohort. The pitch was simple: the job application process is broken for students, and the tools that exist are built for the people doing the hiring, not the people applying. Yan's angle was to flip that. Build for the applicant. Aggregate listings. Autofill forms. Track where you've applied. Tell you which roles actually match what you're good at. The browser extension became Simplify's calling card - a Copilot that rides along with job boards and fills out the tedious fields so candidates can spend time on what matters.

The numbers are difficult to dismiss. A seven-person team. A hundred million job applications submitted through the platform. Over a million users. In the blunt arithmetic of productivity, that's roughly 14 million applications per person - a ratio that says something about either the quality of the tooling or the scale of the problem, or both. By the time Craft Ventures led a $3 million seed round in February 2024, Simplify had stopped being a student project and started being infrastructure.

Yan is thoughtful about what "AI career agent" actually means - and appropriately cautious about overselling it. "Think of Simplify as an always-on AI career agent," he's said, "like a Hollywood agent who understands your background, skills, and salary requirements." The metaphor is deliberate. Hollywood agents don't apply to every studio on your behalf. They know what fits you, what doesn't, and when the timing is wrong. Yan is building toward that intelligence.

There's a philosophical thread running through everything Yan does in public - on LinkedIn, in interviews, in the design choices behind Simplify. It's a deliberate rejection of the LinkedIn-as-social-network model. Simplify doesn't make your career visible to your colleagues. It's private infrastructure for you. Employers see your application; they don't see your browsing history, your saved jobs, your anxiety about the job market. That privacy-first stance is a product decision, not a feature - and it reflects how Yan thinks about who he's actually building for.

He disclosed on LinkedIn in early 2024 that he's the lowest-paid employee at Simplify. Not as a humility performance - as a statement of priority. His reasoning: if the company is growing, his team should feel the benefit before he does. That kind of transparency is increasingly rare in startup land, where founders often treat compensation as private information even when they're asking employees to take below-market salaries for equity. Yan put the number in public. Then he kept posting job tips.

Before founding Simplify, Yan had accumulated an unusual range of early-career experience for someone his age. Software engineering on AI/ML systems at Meta. Data science at Coupa. Research at MIT CSAIL's App Inventor Labs, helping students learn to build applications. An internship at Harvard Medical School. The breadth isn't accidental - it's the profile of someone who took every opportunity available and ran experiments with his own career before building the tool to help others run theirs.

His LinkedIn presence has become a secondary product of sorts. With 181,000 followers and a rank of #90 among all US LinkedIn creators, he posts almost daily - job tips, internship lists, hiring freezes, application strategies. The engagement is practical and loyal: this is an audience that found him because they were desperate to find a job faster, and he kept delivering. The URL hack post alone generated enough attention to get him featured in Fortune and Business Insider. His monthly reach on LinkedIn sits at roughly 170,000 views - all organic, all built on content that actually helps people do the thing.

The aspiration is enormous and stated without irony: help a billion people build their dream career. Yan talks about democratizing access to career opportunity in the same breath as he talks about autofill and keyword matching. The tools are mundane. The ambition isn't. He grew up somewhere that doesn't produce many founders. He wants to build the thing that doesn't care where you grew up.