Know Your Gaps Before the Interviewer Does
Introducing AI coding assessments that show you exactly where you'd fall short. Learn what needs work. Fix it. Land the job.
Currently in beta — your feedback shapes the product · Free trial available
"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.
How It Works
Choose a Problem
Sign up and pick a problem by difficulty level. Start immediately, no scheduling required.
Talk Through It
Speak with our AI interviewer while writing code in a shared editor. Just like a real Google interview.
See Your Results
Get detailed feedback on your problem-solving approach, communication, and code quality.
Frequently Asked Questions
How much does it cost?
Your first assessment is free, no credit card required. After that, assessments cost $5 each, or save up to 30% with bundles.
Will my camera or audio be recorded?
No camera required. We only use your microphone for voice interaction. Your audio is not recorded or stored.
What data do you store?
We store your code, the conversation transcript, and the AI's assessment notes. If you'd like us to delete your data, reach out to us.
How long does it take?
The free trial gives you 10 minutes to try AlgoVoice. Full assessments have a 45-minute time limit — plenty of time to solve the problem and discuss your approach.
How do I start an assessment?
Sign up, choose a problem from our library, and start immediately. No scheduling or booking required.
What programming languages can I use?
We support many popular programming languages. If yours isn't available, reach out to us and we'll add it.
What types of assessments are available?
Currently only coding assessments.
What does beta mean?
We're actively improving based on user feedback. AI quality may vary between sessions, but we're getting better with each iteration. Your feedback directly shapes the product.
How can I provide feedback?
We'd love to hear from you! Email us at hello@algo-voice.dev with any suggestions, issues, or ideas. Your input directly shapes what we build next.
Have more questions? Reach out to hello@algo-voice.dev