Tech interviews are hard. I’ve been through them at both ends of the spectrum, and I’ve talked to enough engineers going through them now to notice a pattern: people prepare for the wrong kind of interview because they assume they’re interchangeable. They’re not.
Big tech interviews and startup interviews share the same general shape (phone screen, technical rounds, offer) but they’re testing almost entirely different things. Getting your preparation backwards costs you months of wasted grinding, or a misread on what a startup actually wants.
How big tech interviews are structured
Google, Meta, Apple, Amazon, and Microsoft all run some version of the same process. You get a recruiter screen, a technical phone screen (usually 45 minutes with a LeetCode-style problem), then 4 to 6 onsite interviews split between coding, system design, and behavioral. The whole process takes 6 to 10 weeks from first contact to offer.
The coding rounds are genuinely academically hard. You’re solving graph problems, dynamic programming, sliding window variations, tree traversals. Companies like Google and Meta have internally calibrated difficulty tiers for their problems. An L5 candidate who can’t walk through a topological sort clearly is probably not getting an offer, no matter how strong their system design is.
The Stack Overflow Developer Survey 2024 found that about 39% of developers say they practice on competitive programming platforms regularly. That number is almost certainly much higher among people actively targeting FAANG roles. The game is known, the preparation is known, and the volume of practice required is significant. Most people who bomb the Google onsite didn’t fail because they were bad engineers; they failed because they hadn’t put in 200+ hours of focused algorithmic prep.
What startup interviews actually test
A typical Series A or Series B startup interview looks nothing like that. The timeline is compressed to 1 to 3 weeks. There’s usually a take-home project (2 to 5 hours of real work), one or two pair programming sessions, and a culture conversation with a founder or team lead.
The take-home is usually a miniaturized version of something the team actually ships. Build a small API. Add a feature to a stripped-down codebase. Debug a realistic production issue. At post-Series B companies with more structured hiring, you might get a panel more similar to big tech, but most seed and Series A companies don’t have the hiring volume to run calibrated interview panels.
What they’re evaluating is different too. They want to know: can you actually build something end-to-end without close supervision? Do you write code a teammate can read? Do you ask sensible questions when requirements are underspecified? Those are legitimately hard things to fake, which is why startup interviews are harder to game than people assume. A LeetCode grind doesn’t help you when the task is “extend this Express middleware to handle multi-tenant auth, here’s the current codebase.”
The behavioral component is more important at startups than people realize
At Google or Amazon, behavioral interviews are a check that you can communicate and won’t be a jerk to your teammates. They follow the STAR format and the bar is “coherent and non-catastrophic.”
At a 15-person startup, the cultural fit conversation is often the deciding vote. Founders are about to spend 50 hours a week next to you. They’re looking for alignment on pace, communication style, and appetite for ambiguity. I’ve seen technically strong candidates rejected at seed-stage companies because the founder felt they wanted too much structure. I’ve also seen the opposite: a candidate who aced every technical round but got turned down because they seemed uninterested in the company’s actual problem.
This is arguably less fair than a standardized rubric, but it’s the reality. Preparing for startup behavioral interviews means doing homework on the company’s actual business, having a real opinion about their market, and being able to articulate why you’d choose this specific 17-person company over the dozen others that would hire you.
How to prep if you’re targeting both types at once
I’ll be honest: doing both simultaneously is rough. LeetCode prep and take-home project prep don’t reinforce each other much. You’re basically maintaining two separate skill sets.
If you have three months: spend month one on algorithmic fundamentals (arrays, trees, graphs, the core dynamic programming patterns), month two on system design and practical coding, and month three on applications. Don’t try to specialize too early in the prep cycle because you won’t know which offers actually come in until they do.
If you only have four weeks: triage by which companies you actually want. If big tech is the priority, lean hard into LeetCode mediums and system design. If startups are the priority, build something real in the tech stack they use, and be ready to discuss it fluently.
One practical thing that helps specifically for startup technical screens: get comfortable explaining your thinking out loud to someone who doesn’t share your screen. The pairing dynamic in startup interviews rewards engineers who narrate their reasoning, flag uncertainty openly, and ask for clarification without prompting. Those habits don’t come naturally to people who’ve trained alone on competitive programming sites.
Tools like Craqly can give you a low-stakes environment for practicing that live verbal reasoning under mock interview conditions, which is genuinely different from just solving problems in silence.
One thing the comparison usually misses
People talk about interview difficulty in terms of pass rates and prep hours. What they undercount is how much the interview style reveals about the job itself. A big tech interview that tests abstract algorithms on a whiteboard is a signal that the company hires at scale, maintains standardized calibration, and runs a process that prioritizes consistency over personality fit. A startup take-home that asks you to debug a real codebase is a signal that the team ships fast, values judgment over theoretical knowledge, and expects you to context-switch without much ramp time.
The interview process is the job preview. Read it accordingly.