Your first interview
shouldn’t be the real one.
A voice interview with follow-ups, then an honest score on what to fix.
Question 1 of 1 — demo
“Tell me about a time you had to finish something important with very little time. What did you do first?”
How it works
Practice the whole thing, not just the answers.
Step 1
Pick your role — or paste the job description
Campus placement, internship, or a specific posting. The interviewer prepares questions for that exact situation, not a generic list.
Step 2
Do a 15-minute voice interview
Real questions asked out loud, real follow-ups when your answer is thin. No pausing, no hints — the pressure is the practice.
Step 3
Read a report that tells you the truth
Scores for content, structure, communication, and confidence. Every weak answer comes with a stronger version built from your own words.
The follow-up
It hears your answer. Then it pushes.
A question list can’t interrupt you. A real interviewer does — the moment your answer turns vague. Opiliant follows up on what you actually said, which is exactly the part nobody can practice alone in front of a mirror.
No hints, no coaching mid-interview. Real interviews don’t pause to help you, so this one doesn’t either.
Interviewer
“Tell me about a project you’re proud of.”
You
“In my final year we built a food delivery app. We used React and Firebase, and we presented it at the department showcase, and we got really good feedback…”
Interviewer — follow-up
“That was ‘we’ four times. Which part did you build yourself — and what broke while you built it?”
The report
Feedback specific enough to act on.
This is what you get after every interview. Not “good job” — the three things holding your score down, and what a stronger answer sounds like in your own words.
Top 3 fixes
- Answer the question first, then give context — you did it backwards in Q2 and Q5.
- Use STAR for behavioral questions. Your “conflict” story had no result.
- Cut “basically” — you said it 11 times.
What you said — Q4, “Why should we hire you?”
“I’m a hard worker and I learn things very fast. I did many projects in college and I always complete my work on time, so I think I would be a good fit for this role.”
A stronger version, built from your own material
“When our backend developer left mid-semester, I taught myself Firebase in two weekends and we still shipped for the showcase. That’s what I mean by learning fast — under a deadline, not just from a tutorial.”
Every weak answer comes back rewritten from what you actually said — your projects, your story — never a generic sample answer.
Why voice
You don’t say “um” when you type.
Reading model answers feels like progress because your head never stumbles. ChatGPT will quiz you in text all day — but the interview happens out loud, and the skill that fails most candidates isn’t knowing the answer. It’s saying it.
Fillers only exist out loud.
You will never catch your own “basically” by reading a model answer. The transcript counts every one, and the communication score moves when they go.
Pacing is invisible in text.
A written answer reads in twenty seconds. The same answer spoken wanders past two minutes — and the interviewer stopped listening at forty seconds.
Pressure changes recall.
Knowing the answer at your desk and finding it with the clock running are different skills. Interviews test the second one, so the practice has to.
Coverage
Whatever round is next, rehearse that one.
Role rounds
HR, behavioral, and role-specific interviews
Software, data, business and consulting, marketing, finance, design — plus the HR round every fresher faces first. Each round questions you like an interviewer for that field.
How the mock interview works→
A specific posting
Paste the job description, rehearse that exact job
The interviewer reads the posting you're applying to and asks what a prepared interviewer would: its stack, its responsibilities, its seniority.
Practice from a job description→
Question banks
Role-specific questions with strong sample answers
Free question banks for the night-before read: HR, campus placement, software, data, and more. No signup — useful even if you never start an interview.
Browse the question banks→
The feedback
How the scoring actually works
What the four sub-scores measure, why the rubric is fixed, and what an honest report looks like when your answer wasn't good. No mystery numbers.
See how feedback works→
Pricing
Priced for students, not for HR budgets.
Free taste
$0
- Your first full interview is on us
- Complete scored report — nothing held back
- No card, no trial timer
Starter
$9 one-time
- 5 full interviews with scored reports
- $2 per interview
- Credits never expire
Pro Pack
$24 one-time
- 15 full interviews with scored reports
- $2 per interview
- Credits never expire
- Best value — for a real interview season
Questions
Fair things to ask.
Is it really by voice?
Yes. The interviewer asks out loud and you answer out loud, like the real thing. You can type instead any time — some dorm rooms are loud.
What kinds of interviews does it cover?
HR and behavioral rounds, plus role-specific questions for software, data, business, marketing, finance, and design. Paste a job description and it interviews you for that exact posting. Visa and scholarship interview modes are on the roadmap.
Do I need a resume to start?
No. Pick a role and start talking. If you upload one later, the interviewer starts asking about your actual projects — which is exactly what real interviewers do.
How is this different from asking ChatGPT?
ChatGPT will quiz you if you prompt it well. Opiliant runs a timed voice interview with follow-ups, scores it against a rubric, tracks your progress across sessions, and rewrites your weak answers in your own words. The practice is the product.
Will the AI go easy on me?
No, and that's the point. It's kind in tone and honest in substance. A report that says everything was great teaches you nothing.
Ninety seconds from here to the first question.
Pick a role, allow the mic, and the interviewer starts talking. Your first interview is free — no card, nothing to install, and the report holds nothing back.