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94% of surveyed users said at least one generated question matched a real interview question. Methodology.
Questions and weak-spot categories were validated with HR leads, hiring managers, and technical interviewers from companies including Ex-Stripe, Ex-Google, and Notion — so the AI asks what real interviewers actually ask.
“I had '40% latency improvement' on my resume for two years and never really thought about it. The first generated question was exactly what I could not answer, so I fixed the bullet before the interview.”
Jean M.
Software Engineer
“It challenged a vague 'led cross-functional team' claim immediately: how many people, what scope, what changed? That made my final answer much tighter.”
Oliver B.
Product Manager
“The questions were anchored to my specific project instead of generic prep prompts. It asked why I used one model over another, which is exactly the kind of follow-up I needed to rehearse.”
Arjun M.
ML Engineer
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PDF and DOCX. For best results, use a well-structured PDF — the AI reads every bullet, metric, and technology listed.
94% of surveyed users said at least one generated question matched a real interview question. The AI reads your specific resume, not a generic template.
Your resume is processed securely and not stored beyond your session unless you explicitly save your analysis.
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