Know Your Gaps Before the Interviewer Does
Introducing AI assessments that show you exactly where you'd fall short. Learn what needs work. Fix it. Land the job.
"I failed Google interviews twice before succeeding. Then I interviewed dozens of candidates. Here's why people fail."
— Eskil Jarlskog, former L4 Google SWE
After finally getting into Google, I requested my interview feedback logs from my failed attempts. Reading the interviewers' raw notes was a revelation. I got insights I wish I had known years earlier. After interviewing dozens of candidates myself, I saw the same patterns repeat.
What Gets You Rejected
Not Clarifying Requirements
The #1 reason for rejections. Candidates assume things about the problem and start implementing a solution to the wrong problem.
You're intentionally not given all the information. They want to see if you can spot ambiguity. This is an essential engineering skill.
Not Being Quick Enough
Google problems aren't the hardest, but they require fluency. Most candidates struggle with implementation, not ideation.
I had numerous candidates stumble implementing BFS. You should be able to comfortably implement basic algorithms under pressure.
Lack of Communication
Many candidates fail to communicate their thought process. As an interviewer, I can't assess someone who doesn't share how they're thinking.
Communication is explicitly valued. Share your thinking, even bad ideas while brainstorming. It helps interviewers guide you.
Bad Code Quality
Less common, but important. Know your programming language well. Use good variable names, create helper functions, and leverage language features.
Don't use "a" as a variable name for a list of nodes. Use "nodes". Small details signal professionalism.
Why LeetCode Isn't Enough
LeetCode only checks if your code runs, not if you explained your thought process or asked the right questions. The skills that actually determine your outcome (clarifying requirements, communicating your thinking) can't be practiced alone.
We built AlgoVoice to fill this gap: realistic interview practice calibrated by engineers who've been on both sides of the table.
Why Not ChatGPT?
ChatGPT
- Optimized to please you
- Generic model, not trained on interviews
- Can't watch you code in real-time
Wants to be your friend
AlgoVoice
- Gives you honest feedback
- Assesses your coding and communication in real-time
- Calibrated by ex-Google interviewers
Wants to see if you're ready for Google
"ChatGPT wants to be your friend. AlgoVoice wants to see if you're ready for Google."
How It Works
Book Your Slot
Pick a time that works for you. You'll get a unique interview link to join at your scheduled time.
Live Interview
Talk through problems with our AI interviewer. Write code in a shared environment, just like a real Google interview.
Get Feedback
Receive a detailed breakdown of your performance. We tell you exactly what hiring committees look for.
Human monitored · Our team oversees interviews to ensure quality.
Calibration sessions · Occasionally, you may be interviewed by one of us instead of the AI to help calibrate our system.
See What Feedback Looks Like
Our feedback highlights subtle issues that actually cause rejections—not generic encouragement.
Frequently Asked Questions
What interview options are available?
We offer a 15-minute Quick Assessment ($5) and a 1-hour Deep Dive Interview ($29). The deep dive includes comprehensive feedback and discussion time.
How do I book an interview?
You select a date & time, and pay prior to the interview.
What types of interviews are available?
Currently only algorithms & data structure interviews.
What programming languages can I interview in?
Python, Java, C++ or TypeScript.
Are the interviews relevant for all engineering levels?
We can confidently support L3 and L4 (and equivalent) level interviews.
Have more questions? Reach out to hello@algo-voice.dev