About Interview101

Built by someone who
made the decision.

Interview101 started in a UC Berkeley dorm room in 2002 — a single page site and $50/hour coaching sessions on Yahoo chat for students preparing for tech interviews.

The insight then is the same as it is now: most candidates who fail don't fail because they're unqualified. They fail because they don't know what the interviewer is actually evaluating for. They prepare for questions. They don't prepare for the rubric.

The person behind Interview101 spent years inside big tech — conducting interviews, sitting on hiring panels, and ultimately earning the role of Bar Raiser: the person in the room whose sole job is to hold the hiring bar independently, above team dynamics and pressure. Hundreds of interviews. Hundreds of hire and no-hire decisions.

Interview101 was built to close that gap. Not with generic advice, but with a complete picture of what the evaluator sees — built from your specific background, grounded in how each company actually interviews, and honest about where you stand.

2002
Year the first version launched, from a UC Berkeley dorm room
100s
Hire and no-hire decisions made as a Bar Raiser
2,699+
Candidate interviews analyzed to build this product
How We Build

A few principles we hold to in every playbook we deliver.

No fabrication
Every claim in your playbook traces directly to your resume or the job posting. We don't invent experience you don't have.
Real data, not forums
Our question bank and company intelligence are sourced from verified reported interviews — updated quarterly. Not scraped from Glassdoor.
Human reviewed
Every playbook is reviewed before delivery. Not sent automatically. Checked to make sure it actually serves the person who ordered it.
The evaluator's lens
We don't teach you to perform in interviews. We show you what the evaluator is looking for — so you can demonstrate what you actually have.

Interview101 covers Amazon, Google, Meta, Microsoft, Apple, Netflix, and NVIDIA — across Software Engineering, Product Management, Data Science, Data Engineering, ML Engineering, and Technical Program Management.

Get Your Interview Playbook — $149 →