Boost Interview

Boost Interview was built from the candidate's side of the table — the founder describes applying to roughly 1,500 roles and sitting 300+ interviews across 60 companies. The result is a macOS app split into two halves: preparation and live support. You load your resume, target role and job context, and the tool builds personalized context and a candidate memory so follow-up questions stay grounded in your own experience.

During an interview, the copilot captures audio and shows bilingual captions with translation into your preferred language, so non-native speakers can read in the language they understand fastest while the answer stays in the interview language. AI answers are deliberately short and structured — key points, approach, data structures, complexity, edge cases — because long paragraphs are unreadable mid-interview. Auto Mode keeps a continuous stream of answers; Manual Mode only generates one when you click or use a shortcut, and auto-follow pauses when you scroll back.

Coding support spans both isolated questions and multi-step projects: start a new task when the problem changes, or continue with relevant code and context when the work is connected. The platform reports up to 32 supported languages, a library of 8,000+ interview questions filterable by type, company and role, plus mock interviews and detailed reports so you can review what you actually said.