Your GitHub becomes
your interview.
Practice with an AI interviewer that actually knows what you built.
Connect your GitHub, choose a project, and sit through a live voice-first mock interview built around your actual code, architecture, decisions, and engineering experience. An interviewer that has actually read your project—so you don't just memorize answers, you defend what you built.
Listening to candidate explanation
Not a random list of interview questions.
Most AI interview tools start with a question bank. Mimir starts with you. Your project becomes the interview context.
Traditional AI Interview
- Question SourceGeneric questions from question banks
- System ContextGeneric context detached from your code
- Technical DepthMemorized trivia & textbook solutions
- Interview FormatText-first interaction / chat window
- Follow-Up MechanismFixed follow-ups from a static script
Mimir InterviewProject-Centric
- Question SourceYour GitHub repositories and real codebase
- System ContextYour architecture, dependencies, and APIs
- Technical DepthYour decisions, tradeoffs, and failure handling
- Interview FormatLive voice conversation with an AI interviewer
- Follow-Up MechanismAdaptive follow-ups driven by your spoken answers
From GitHub to a live technical interview.
A future-oriented, structured pipeline designed to test how well you understand the systems you build.
Connect GitHub
Sign in with GitHub and choose the projects you want to discuss.
Scoped permissions. We only request read access to the specific repositories you choose.
Understand Your Project
Mimir analyzes the technical context of your selected repository — including the stack, APIs, architecture, data models, documentation, and implementation decisions.
Deep analysis across code structure, schemas, endpoints, and architectural tradeoffs.
Take the Live Interview
Join a voice-first mock interview where the interviewer listens to your answers and adapts the conversation in real time.
Spoken question-and-answer flow with dynamic follow-up scrutiny.
Understand Your Weaknesses
Receive a detailed diagnosis of your technical understanding, reasoning, communication, and engineering judgment.
Identifies precise gaps and connects back to Mimir Nest's System Design and DSA guides.
GitHub access will be explicitly scoped to the repositories you choose, with credentials and sensitive tokens kept away from the client.
The Live Interview Room
Sit across from an AI interviewer that listens, thinks, and responds to your spoken words in real time.
“Listening to your explanation of the caching architecture...”
An interview, not a questionnaire.
The interviewer should listen before deciding what to ask next. Below is a preview of the conversational logic behind the future live interview, illustrating how the AI probes technical depth rather than reading a static script.
I see you used Redis in this feed service. Why did you choose Redis here instead of querying PostgreSQL directly?
I needed caching for frequently accessed user feed records to keep response times low.
Okay. What happens when Redis becomes unavailable or crashes during peak hours?
I'd catch the connection failure and fall back to PostgreSQL.
Then what happens if 5,000 concurrent requests suddenly bypass the cache? How does PostgreSQL survive the cache stampede?
Speak naturally.
Technical interviews shouldn't require you to sound like a textbook.
Mimir Interview is being designed around natural spoken conversations — including the way Indian students actually communicate, whether that's English, Hindi, Hinglish, or other Indian languages.
Listening to candidate explanation
Adapts to the cadence, vocabulary, and mixed-language explanations of Indian engineering students.
Spoken naturally in English, Hindi, or Hinglish
Acoustic and dialect processing for Indian contexts
Cross-checked against your GitHub codebase
Analyzes depth, tradeoffs, and failure modes
Formulates next contextual challenge
Spoken back to you naturally in real time
Built around your actual work.
Every layer of Mimir Interview is engineered to test genuine software craftsmanship rather than rote memorization.
Project-Aware Questions
Questions are generated directly from the code, dependencies, and architecture you actually committed—not generic LeetCode question templates.
Contextual Follow-Up Questions
The interviewer doesn't simply skip to the next item on a checklist. It challenges the specific justifications and technical claims you make in your answers.
Real Technical Depth
Expect focused discussion on databases, latency, concurrency, schema normalization, caching layers, and security decisions pertinent to your project.
Natural Interview Flow
Designed to simulate a senior engineer sitting across from you. Ask for clarification, explain tradeoffs, or push back on constraints just like in a live interview.
Granular Post-Interview Diagnosis
Receive honest, pinpoint feedback on where your reasoning was sharp, where your answers were vague, and what topics you struggled to defend.
Personalized Learning Loop
Weaknesses uncovered in your interview will link directly back to relevant Mimir Nest System Design chapters, DSA concepts, and architectural guides.
More than whether you got the answer right.
Real tech interviews aren't binary multiple-choice tests. The upcoming Mimir evaluation engine is being designed to evaluate candidates along genuine engineering dimensions rather than memorized trivia.
Technical Understanding
How thoroughly you understand the internal workings of the libraries, databases, and frameworks you selected.
Architecture & Design
How modules, services, and data flows connect, scale, and isolate boundaries across your application.
Problem Solving
Your methodology for diagnosing production bottlenecks, concurrency issues, and unhandled edge cases.
Engineering Tradeoffs
Your ability to articulate why you chose one technology over another, recognizing that no technical decision is free.
Project Ownership
Defending why specific decisions were made and proving you genuinely wrote and reasoned through the implementation.
Technical Communication
Clarity, precision, and structured explanations without relying on vague buzzwords or hand-waving.
Depth of Understanding
Knowledge beyond surface-level tutorials—covering network latency, I/O limits, and query performance.
Engineering Judgment
Pragmatism, knowing when simple solutions outperform over-engineered abstractions, and anticipating failure points.
Built for people who have something to show.
Mimir Interview isn't a corporate ATS surveillance tool. It is built for students, builders, and aspiring engineers who want to walk into any interview room with genuine confidence.
Students Preparing for Placements
Stand out in on-campus and off-campus tech drives by turning your academic capstones and resume projects into confident, articulate talking points.
Developers Preparing for Job Interviews
Prepare for the dreaded 'Walk me through your resume project' question where senior interviewers probe architecture and technical depth.
Builders with Serious Side Projects
You spent dozens of hours engineering full-stack or systems software. Make sure you can defend every architecture decision you made under pressure.
Open-Source Contributors
Practice communicating complex pull requests, modular architecture, and distributed collaboration cleanly to future engineering peers.
Candidates Defending Portfolio Projects
Eliminate the risk of sounding like you copy-pasted tutorial code. Prove authentic authorship, deep comprehension, and technical rationale.
If you built it on GitHub, you should be able to defend it with pride.
Be among the first to sit down with Mimir.
Mimir Interview is currently in development. Join the early-access list and we'll email you when interview cohorts open.
Your next interview should be about your work.
Don't memorize answers. Defend what you built.