Hey HN, I’m Eskil. I’m an ex-Google engineer (previously L4).
I built AlgoVoice because I failed my own Google interviews twice before finally getting in.
The Problem: Platforms like LeetCode are great for algorithm logic, but they don't simulate the actual interview environment. On LeetCode, problems are perfectly defined, and "ugly" code passes as long as it hits the time complexity.
In real interviews (especially at FAANG), you fail if you jump straight into coding without clarifying requirements or handling ambiguity. You also get penalized for writing unmaintainable "competitive programming" style code (e.g., bad variable names, no helper functions).
The Solution: AlgoVoice is a voice-first interviewer. It gives you a problem with intentional ambiguity, coaches you through the interview, writes feedback and suggests what you should focus on next in your interview preparation.
We are currently in public beta.
Disclaimer: Since we are fine-tuning the latency and feedback models, my co-founder and I are personally monitoring sessions. You might occasionally get a "calibration session" where one of us (ex-Google interviewers) steps in to conduct the interview manually. We do this to ensure that even if the AI hallucinates, you still get good value of interview coaching for the $39 beta price.
The Ask: We are looking for engineers prepping for L3-L4 roles to try it out. The price is $39 (vs $179 for human-led interviews), and the feedback is based on the evaluation criteria used at Big Tech companies.
jarlen•2mo ago
I built AlgoVoice because I failed my own Google interviews twice before finally getting in.
The Problem: Platforms like LeetCode are great for algorithm logic, but they don't simulate the actual interview environment. On LeetCode, problems are perfectly defined, and "ugly" code passes as long as it hits the time complexity.
In real interviews (especially at FAANG), you fail if you jump straight into coding without clarifying requirements or handling ambiguity. You also get penalized for writing unmaintainable "competitive programming" style code (e.g., bad variable names, no helper functions).
The Solution: AlgoVoice is a voice-first interviewer. It gives you a problem with intentional ambiguity, coaches you through the interview, writes feedback and suggests what you should focus on next in your interview preparation.
We are currently in public beta.
Disclaimer: Since we are fine-tuning the latency and feedback models, my co-founder and I are personally monitoring sessions. You might occasionally get a "calibration session" where one of us (ex-Google interviewers) steps in to conduct the interview manually. We do this to ensure that even if the AI hallucinates, you still get good value of interview coaching for the $39 beta price.
The Ask: We are looking for engineers prepping for L3-L4 roles to try it out. The price is $39 (vs $179 for human-led interviews), and the feedback is based on the evaluation criteria used at Big Tech companies.
Link: https://www.algo-voice.dev/
Happy to answer questions about the tech stack or the Google interview process!