Practice anything. Test the limits of your knowledge. Personalized career coach.Live interview practice for any role, in any field
Most realistic interview experience
“I'd start with a feature store and cache the embeddings, then batch the candidate generation so the ranking model only scores a few hundred items per request…”
Just describe what you're learning, you can practice it
Human-like interview
experience
It adapts to what you say and gets harder the better you do, the way a good interviewer would.
Pick your interview
Start from the curated library, where every interview is designed by experts.
A live conversation
Creates a realistic interview environment.
Adaptive follow-ups
The questions get harder as you get stronger.
Practice at your own pace
Practice anytime, as many times as you need, until you're confident.
Tailored to your experience
Interviews are personalized based on your profile.
From your first question
to your final round
Pick your interview
Choose one from the library, or paste in the job description you're applying for.
Talk it through
It's a real conversation, and each question builds on your last answer.
Read your report
You get a report that quotes what you said and shows what to fix first.
Aimed at the job in front of you
You decide what to practice for, whether that's a ready-made interview or the exact job you're applying for.
- Interview for the exact opening
Paste a job posting, or just the link to one, and the interview shapes itself around that exact role.
- A library that runs deep
The library is deepest in engineering, data, and AI today, and it keeps expanding into new fields like law and healthcare.
Senior ML Engineer
Data Scientist
System Design
Security Engineer
Track your progress
Every session is saved with its scores, so you can watch what's improving and catch the mistakes that keep coming back.
- Replay yourself
Come back in a month, replay an old answer in your own voice, and hear the difference.
- Patterns, named
See which skills are climbing and which mistakes keep returning, so you always know what to drill next.
What is openskill?
A place to practice interviews. An interviewer runs the session, adapts as you answer, and hands you a report built from what you said.
How realistic is it?
It runs like a real interview: an easy warm-up to start, a core that presses on your weak spots, then a few minutes for your own questions at the end. The interviewer stays in character and follows up whenever an answer feels thin.
Isn't this just ChatGPT?
You can ask a chatbot to interview you, and it will, politely. It drifts out of role, accepts whatever you offer, and congratulates you at the end. An openskill interviewer keeps the pressure on, and the report that follows scores every answer against what a strong one covers, quoting your own words as the evidence.
What can I practice for?
Any role you can describe. Paste a job posting from any field and interview for exactly that opening, or write the scenario yourself. The curated library goes deepest today in engineering, data, and AI roles, and it grows into new professions steadily.
What does it cost?
Your first full interview and report are free. After that, a monthly plan covers unlimited sessions.
Is my data private?
Yes. Your sessions, recordings, and reports are visible only to you, and we don't share them.
Interview advice and strategies
Practical advice on how interviews are run today and what separates a strong answer from a forgettable one.
The jobs growing fastest in 2026, and how to move toward them
The fastest-growing roles cluster around AI, big data, and fintech, while cashiers and admin assistants are shrinking. You don't have to start over to catch the wave. The smarter play is to move adjacent from where you already stand.
How to reskill when a third of your skills expire by 2030
The World Economic Forum estimates about 39% of workers' current skills will be transformed or outdated between 2025 and 2030. You can't learn everything, so the win is choosing durable and adjacent skills over chasing whatever tool is trending this quarter.
Why AI won't wipe out white-collar work
The predictions of mass office-job loss haven't landed. The US has added roughly 3 million white-collar jobs since late 2022, and the more likely path is that AI widens what office roles cover rather than erasing them, even though young workers have taken a real hit along the way.
Employers want you to supervise AI, not just use it
A growing expectation for new hires is that you can manage and quality-check AI output the way you'd oversee a junior employee. Being able to catch the machine's mistakes is becoming a hiring differentiator, and you can show it in an interview.
How job seekers use AI, and where it backfires
Using AI to research companies, draft a cover letter, and practice your answers is smart and increasingly normal. Feeding yourself answers live during the interview tends to backfire, and faking your way in erodes the trust you'll need on day one.
How AI is used in hiring, and how to prepare for it
A machine may read your resume, book your interview, and score your answers before a person ever sees you. Roughly a quarter of organizations now use AI in recruiting, so the smart move is to prepare for each stage of the funnel rather than try to trick it.
Get ready for your
next interview.
Early access opens in waves. Leave your email, and when your invitation arrives, your first interview is free.
Questions? Reach out to us.