What is GankInterview
GankInterview is an AI interview and coding-test assistant for job-search scenarios. It supports interview practice, coding-test assistance, material management, and review.
The system connects preparation, training, records, and review into one workflow, reducing the cost of moving from temporary practice to real interview scenarios.
The desktop client is the recommended default entry and covers the complete coding-test and interview training flow. The web experience is for quickly validating sessions and lightweight trials.
Use cases
The product is most useful when you want a stable job-search training rhythm instead of using scattered tools. Common use cases include:
- Intensive training before interviews: high-frequency Q&A, follow-ups, and review around target roles.
- Coding-test preparation and problem practice: collect common problem types and build reusable training material.
- Process records and staged review: review training results by timeline and continuously improve delivery and problem-solving strategy.
Standard workflow
For first-time setup and later reuse, follow this order:
- Complete installation and login: make sure device, permissions, and account status are available.
- Run pre-interview checks: verify stealth, voice, network, and input/output flow.
- Start training: prefer the desktop client for training and preparation.
- Review records: use interview and exam records to improve the next round.
Campus Overview
Understand how filtering and training entry points work together on one page.
AI Interview Assistant
See the main training entry, core modes, and standard workflow.
AI Mock Interview
Review the complete interview flow, voice practice, follow-ups, and review capabilities.
Plans and entitlements
Compare capabilities, voice minutes, and quota rules across plans.
Quick start
After completing the first validation round in the order "installation and login -> practical preparation -> desktop quick start," you can enter your daily training rhythm.
If this is your first time using the product, complete one full mock flow first, then begin role-specific practice.
Installation and login
Install, authorize, launch for the first time, and sign in.
Practical preparation
Check stealth, voice, network, and rehearsal flow before interviews.
Web experience guide
Understand when the web experience fits and where its boundaries are.
Core features
Core capabilities cover AI Interview Assistant, coding-test assistance, question-bank practice, and stealth features.
Understand the purpose and boundary of each module first, then combine them into your own training path. Stealth-related capabilities should be rehearsed and checked before formal scenarios.
AI Interview Assistant
The full-flow training entry for frequent practice and formal rehearsal.
AI Mock Interview
Complete profile setup, voice rehearsal, follow-ups, and review in a realistic flow.
Question Bank
Practice by role topic and continuously build question sets.
Stealth mode
Review stealth capabilities, platform support, and checker usage.
Before a formal interview
Before a formal interview, complete a full-chain check for device, permissions, runtime flow, and fallback plan.
This step directly affects live stability, especially voice input, transcript quality, and interview record completeness.
Practical preparation
Use the checklist to confirm stealth, voice, and network status.
Web launch checklist
When using the browser experience, check input source, transcript, and record flow first.
Audio and permissions
Quickly locate microphone, system audio, and authorization issues.
Common settings
Configure the basics first, then adjust shortcuts, models, and knowledge-base settings gradually.
Keep the default setup stable before optimizing personal preferences. Avoid changing too many items at once, because it makes troubleshooting harder.
Core settings
Configure language, model, screenshot, and voice modes in one place.
Keyboard shortcuts
Learn default keys and build your high-frequency operation habits.
Custom API and models
Configure model capabilities and calling strategy as needed.
Knowledge base
Manage uploads, retrieval, and hit-quality optimization.