$0 forever
Everything you need to practice regularly.
- 5 text interviews every 30 days
- 3 voice interviews every 30 days
- Full report after every interview
- All roles, levels and technologies
- Coding assessments
- Daily challenges and achievements
Interview practice for developers and teams
Practice the technical interview, not just the questions.
Mentara runs a structured interview for your role and stack, follows up on what you actually said, grades your code against hidden tests, and gives you a report that points to your weak areas – so the next session targets them.
Coming soon to App Store
Coming soon to Google Play
Coming soon to the Web
Launching 2026 · Web, iOS & Android
- Warm-up
- Technical
- Deep dive
- Wrap-up
Interviewer
Your list re-renders on every keystroke in the search box. How would you find out why?
You
I’d open the React Profiler, record a keystroke, and check which components rendered and why…
Interviewer
Say the profiler shows the whole list re-rendering. What are the two most likely causes?
Hints 2 of 3 left Tap to answer
- Frontend · Backend · Algorithms
- 19 technologies
- Junior to Senior
- 15, 30 or 60 minutes
- Type or speak
- 5 interview languages
Why practice here
Reading answers is not the same as giving them.
Most prep ends with a list of questions you have read. An interview asks you to explain, gets specific about the weak part, and moves on whether you are ready or not. That is the part Mentara lets you practice.
Question lists and a general chatbot
- You pick the questions, so you pick the easy ones
- Nobody asks "why?" after a vague answer
- Code is never run, so "looks right" counts as right
- You grade yourself, and every session starts from zero
A Mentara session
- A timed interview for your role, level and stack, with a fixed structure
- Follow-up questions built on your own answer
- Coding assessments graded by tests you cannot see
- A report with evidence, and weak areas that shape your next session
AI interviews
A structured interview that reacts to your answers.
Each interview moves through warm-up, technical questions, a deep dive and a wrap-up. The interviewer asks follow-ups on what you said, narrows the question when you stall, and pushes further when an answer is strong.
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Choose your role
Frontend, backend or algorithms, at junior, middle or senior level.
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Pick your stack
Up to six technologies – React, TypeScript, Node.js, system design and more.
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Set the interview
15, 30 or 60 minutes, one of three interviewers, strict or supportive feedback, in one of five languages.
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Answer out loud or in text
Type, or speak and have your answer transcribed. Up to three hints if you get stuck.
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Get your report
Scores, evidence and a learning path the moment the interview ends.
It is an AI interviewer, not a person. It is built to run a consistent, structured technical interview – and your last sessions shape what it asks next.
Coding assessments
Write the code. Hidden tests grade it.
Coding has its own place in Mentara: a separate, timed assessment with an editor, runnable examples and a real submission. The interview stays a conversation; the assessment checks the code.
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Read the problem
One to five problems, with examples. A timer, when the assessment has one, is enforced by the server.
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Write your solution
JavaScript, TypeScript, Python, Java, Go or C++. You can switch language mid-attempt.
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Run the examples
Run the visible examples or your own input as often as you like before you commit.
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Submit
Your code is graded against hidden tests that never leave the server.
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Read the review
An AI review of code quality, efficiency and readability, per problem, with strengths and weak areas.
Why separate? Talking through a design and writing working code are different skills. Mixing them in one chat hides which one needs the work.
Merge overlapping intervals
Examples 3 / 3 passed
Review
- Correct on edge cases: empty input, touching intervals
- O(n log n) – the sort dominates
- Consider naming the accumulator
Feedback
Know exactly what to fix next.
7.4 Overall
- Technical 8.1
- Communication 7.4
- Edge cases 6.2
- Problem solving 7.8
By competency
- React rendering Strong
- State management Solid
- Web performance Developing
Evidence from your answers
“I’d memoize the row component” – correct fix, but the cause (a new callback each render) was never named.
Next focus Web performance · ~3 h
The interview ends with a report, not a pat on the back. Every score is tied to something you actually said, and the gaps become your next practice plan.
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Scores you can trace
Overall, plus technical depth, communication, edge cases and problem solving. Scores come from evidence in your answers, not a number the model made up.
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Per-competency results
Each skill the interview covered is marked strong, solid, developing or needs work – or "not assessed" when there was not enough evidence.
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Strengths and weak areas
What went well, what to improve, and quotes from your own answers that show why.
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A learning path
Prioritised topics with a time estimate. Your next interview picks up your weak areas.
Keep going
A reason to come back tomorrow.
Interview skill fades without practice. Daily challenges give you a small, concrete task each day, based on your own history.
- Complete one interview +30 XP
- Finish without hints +50 XP
- Revisit Web performance +80 XP
- Level · Mid
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Daily challenges
Up to three a day: finish without hints, beat your last score, revisit a weak area, practice a technology.
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Streaks and levels
XP moves you from Intern to CTO. A streak freeze covers the odd missed day.
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Achievements
Tracks for consistency, improvement, roles and technologies – earned by practicing, not by opening the app.
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Progress over time
Your score trend, your recurring weak areas and every past report in one place.
Pricing
Start free. Upgrade when you are in an active job search.
TBA set at launch
For the weeks when you are interviewing for real.
- Everything in Free
- Unlimited text interviews
- Unlimited voice interviews
- Realistic mode: shows where you got stuck and what the session was worth without outside help
Custom per seat
For engineering teams and hiring.
- Pro for every seat
- Company interviews on your stack
- Candidate assignments with consent
- Privacy-first team report
- 14-day trial with 5 seats
Pro pricing is set at launch and shown in the app store and on the web before you pay.
Mentara for teams
Consistent interview practice and screening for engineering teams.
Give engineers structured practice on your stack, and give candidates the same interview every time – without turning practice into surveillance.
See Mentara for teams →-
Company interviews
Fix the role, level, stack, length and seed questions once. Everyone gets the same interview.
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Candidate assignments
Send a single-use link. The candidate consents first; you see the report, not the transcript.
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Team report
Activity per person, skill averages only for groups of five or more. No one reads an employee’s transcript.
FAQ
Straight answers.
How is this different from asking ChatGPT for interview questions?
A chatbot answers what you ask. Mentara runs the interview: it has a fixed structure and time limit, follows up on your weak answers, scores you from evidence against a rubric, runs your code against hidden tests, and remembers your last sessions.
Is the AI interviewer like a real person?
No, and we do not pretend it is. It is built to run a consistent technical interview – follow-ups, a clock and a structure. It is practice for the real thing, not a replacement for it.
Can I write code?
Yes, in a coding assessment: an editor, runnable examples, a timer when the assessment has one, and hidden tests on submit. The interview itself is a spoken or typed conversation.
Can I answer out loud?
Yes. Tap the mic, speak, and your answer is transcribed. The Free plan includes 3 voice interviews every 30 days; Pro has no limit.
What does my employer see if my company uses Mentara?
Only your join date, how many interviews you did in the last 30 days, and when you were last active. Team skill averages appear only when at least five people contributed. No role in an organization can read your transcripts or your individual reports.
When can I use it?
Mentara launches in 2026 on the web, iOS and Android. Join the waitlist and we will email you when it opens.
Launching 2026
Your next interview is coming.
Practice before it does.
Mentara opens on the web, iOS and Android in 2026. Join the waitlist and we will email you the day it does.
Coming soon to App Store
Coming soon to Google Play
Coming soon to the Web
Resources
Interview prep strategy, comparisons and product notes.
Practical articles on preparing for technical interviews – and how teams can run interview practice at scale.
AI interview practice for engineering teams: what it can and can’t do
How engineering organizations can use AI interview practice and coding assessments to keep engineers sharp and screen candidates consistently – and where a human still has to decide.
The technical interview prep market in 2026: what changed, and what it means for how you prepare
Fewer entry-level seats, AI in every workflow, a surge in assessment cheating, and employers splitting between in-person rounds and AI-allowed interviews. A sourced look at the market and what it rewards now.
Thinking out loud in coding interviews without talking yourself into a corner
Interviewers score the reasoning they can hear. Here is how to narrate a solution so it helps you instead of burying you.
AI mock interview vs. LeetCode: what each tool actually trains
LeetCode sharpens implementation speed. A mock interviewer stresses structure, trade-offs, and pressure. Serious prep usually needs both.