About

Built from the candidate
side of the table.

I’ve applied for around 1,500 roles and, over time, gone through 300 interviews across 60 companies. I’ve experienced firsthand how different a real interview feels from preparation. You can know the answer and still go blank, lose your structure under pressure, or walk away wishing you had explained something better.

I also tried many existing interview tools, but they didn’t fully fit the way I actually interview. Some answers were too long to read in real time, some tools were distracting, and coding tools didn’t always understand whether I was solving a new problem or continuing the same project. So I decided to build the interview tool I wanted to use.

Boost Interview is designed to help candidates prepare, perform, and improve — with realistic mock interviews, personalized preparation, real-time AI assistance, and detailed feedback after each session so you can see exactly what you said and how to answer even better next time.

Companies are already using AI to make recruiting and interviewing more efficient. I believe candidates should also be able to use AI thoughtfully — not to replace our skills, but to prepare better, communicate more clearly, and keep improving.

Only people who have been through enough interviews know how small frustrations can become big distractions in the moment.

Boost Interview was built around those details, and it’s still being improved based on real interview experiences.

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