Mintor runs full mock interviews across coding, machine learning, system design, and behavioral — with an AI that asks, probes, and scores like a real interviewer. Practice out loud, anytime, as many times as it takes.
No credit card • Practice in your browser • Feedback in seconds
See it in action
Real tools, real execution, real feedback — not flashcards. Here's what each mode actually looks like.
Talk through your approach. Then prove it. Solve algorithms interview problems in a real editor while the AI probes your reasoning, nudges you when you're stuck, and never just hands over the answer.

Implement models from scratch — and actually run them. A Jupyter-style notebook runs Python right in your browser, so you build preprocessing pipelines, models, and algorithms cell by cell.

Diagram it while the AI grills you on the trade-offs. Drag services, databases, clients, queues, and load balancers onto an interactive canvas, then defend your design against real scale requirements.

From raw data to a deployed model — on one canvas. A purpose-built palette of ML blocks lets you lay out data sources, feature transforms, models, optimizers, and outputs, then talk through the pipeline with your AI interviewer.

Turn "tell me about a time…" into muscle memory. Work through STAR-method questions on leadership, conflict, ownership and more, with an AI that reacts to your answers like a real panel.

Know exactly where you stand — and what to fix. End any interview and get a structured report: an overall verdict, a category-by-category breakdown, and specific strengths and areas to improve.

Real-time coaching while you work — no turns, no waiting. Flip on Live Feedback and Mintor watches your code as you type and listens as you think out loud, then chimes in the moment something's worth saying — and can even say it back to you out loud, like a coach sitting beside you.

What's inside
Pick a mode and start a full mock interview in seconds — each with an AI that thinks, probes, and scores like a real interviewer.
Algorithms problems with a built-in editor, live test runner, and an AI interviewer who guides without giving away the answer.
A Jupyter-style notebook with in-browser execution — implement models, pipelines, and algorithms cell by cell.
Draw architecture diagrams on an interactive canvas — services, databases, queues, load balancers — while the AI reviews your design.
Design end-to-end ML pipelines on a purpose-built canvas — data inputs, model blocks, transforms, optimizers, and more.
STAR-method questions on leadership, conflict, and ownership — with detailed scoring across five dimensions.
Finish any session and get a structured report — an overall verdict, category breakdown, and actionable next steps.
How it works
No setup, no scheduling, no awkward peer swaps. Just open it and go.
Coding, ML coding, system design, ML design, or behavioral — whatever you're prepping for.
The AI asks questions, probes your thinking, and reacts to your answers in real time.
Receive a structured assessment with scores across multiple dimensions and specific feedback.
Every session is saved. Review past transcripts, revisit reports, and watch yourself improve.
Why Mintor
Interviewing is a skill. Mintor is the gym.
Your AI interviewer is on call 24/7. No booking a peer, no waiting for a mentor — start a mock at 2 a.m. if that's when it clicks.
No more guessing how you did. Get a clear score and specific, actionable notes the moment you finish.
A true code editor, an executing notebook, and a diagram canvas — you practice in the environment you'll actually be tested in.
Fresh problems every time. Practice the same question type until it's second nature — repetition, without the repeats.
Every transcript and report is saved, so you can look back, compare scores, and see the progress add up.
Fumble, restart, think out loud, take your time. It's the low-stakes room where you make your mistakes — so the real one goes smoothly.
Open the platform and run your first mock interview in under a minute.
Start practicing free