How FAANG interviews have evolved — easier coding, deeper follow-ups. Real question examples by round and what interviewers actually evaluate.
10 real STAR method examples with structured answers covering leadership, conflict, failure, and technical decisions. See what AI scoring evaluates in each component.
50 coding and CS concept questions organized by category — data structures, algorithms, system concepts, concurrency — with what interviewers are actually testing.
How to structure system design answers, common topics, junior vs senior expectations, and mistakes to avoid. A practical guide to the hardest interview format.
The 7 most common behavioral interview mistakes — using 'we' instead of 'I', no measurable results, wrong seniority examples — and how to fix each one.
A practical framework for passing technical interviews: understand what's tested, build explanation ability, use spaced repetition, and handle follow-up pressure.
Comparing dedicated AI interview coaches to ChatGPT for technical interview preparation. Feature comparison, strengths, weaknesses, and when each approach makes sense.
My startup wasn't making profit 6 months in, so I gave myself 30 days to find something new. Here's how I focused my prep and landed 2 offers above my current salary.
Anki can't grade open-ended answers. ChatGPT can't remember what you got wrong last week. I tried every tool and nothing combined spaced repetition with real interview-style grading — so I built it.
As AI writes more code, understanding WHY things work becomes the differentiator. Interviewers test understanding, not typing speed — and spaced repetition is how you build it.