Startup vs FAANG, the honest comparison nobody runs.

You're sitting on two offers. One is from a 30-person startup. One is from one of the FAANG-ish big companies. Every blog post you read tells you to "follow your passion" and "consider growth". You'd like, just once, a comparison that includes the real tradeoffs.

Here it is. With the numbers, and with the things both sides glamorize.

The big-picture comparison

What startups glamorize that they shouldn't

"Move fast" is real. It's also exhausting in ways nobody mentions on the hiring page.

The thing that's actually faster at a startup isn't decision-making. It's the consequences of bad decisions. You shipped a feature wrong on Monday? You'll feel it on Tuesday. The system gives you faster feedback. That's the underrated thing. It's also why people learn faster. It's not because they had more freedom. It's because the loop closed quickly.

What's missing from the pitch: most startups die. Most equity grants become worthless. Most "we'll have an IPO in 3 years" plans become "we got acqui-hired in year 5". The expected value of startup equity, computed honestly across the whole population, is somewhere between -10% and +20% of what you'd have earned at the big company. That's net. After all the early-stage stories at YC and the FAANG-leaver-tweets, after everything.

The right reason to go to a startup is not "the equity might pay off". The right reason is "I want to learn the things you learn at a startup, faster than I'd learn them elsewhere".

What big tech glamorizes that it shouldn't

"You'll learn so much from world-class engineers." Sort of.

The senior engineers at big companies are genuinely senior. The leverage you get from being on their team is real. What's underplayed: most of your day-to-day code reviews are with peers at your level, on projects with extremely constrained scope. You'll learn a lot about how to operate inside large systems. You'll learn less about how to design new ones.

What's missing from the pitch: process slows down even good engineers. The "two-pizza team" stories from 2010 do not describe most teams in 2026. Approvals take weeks. Decisions take months. The thing you wanted to ship in your first quarter often takes three. That's not the company being incompetent — that's the cost of operating at scale. But it's a cost.

The 5-year framing

If you're early career, here's the framing that actually matters: where will you be five years from now if you take each offer?

Startup path, success case: You're a senior or staff engineer, you've shipped product end-to-end multiple times, you've seen a small company hit hard problems. You're worth a lot to the next startup that hires you. You might also be worth a lot to a big company, but it'll depend on whether they squint at the resume.

Startup path, failure case: The company died at year 3. You're 27, looking for a job, with a resume of "ex-[startup nobody's heard of]". You learned a lot but the brand didn't compound. You probably still find a good role within 6 months, but the path is bumpier.

Big tech path: You're a senior engineer with one of the brand names on your resume. You've gone deep on a specific system. Your next job offer is from another big company, easily. Your route to a top startup is open. Your route to founder is shorter than you'd expect because the brand opens doors.

The honest answer for most people is: big tech first for 2-4 years, then startup. The brand compounds faster than the equity. But it's an answer, not the answer.

Pick by what you'd enjoy doing on a Tuesday afternoon, calibrated by the table above. The right one for you is the one that's right for you. The internet's opinion about which is "better" is mostly noise.