This project is scheduled for launch
Launch date: Monday, February 22, 2027 at 08:00 AM UTC

Cowinx is the Mac-native AI copilot for high-stakes technical interviews — a focused, lightweight interview experience built specifically for macOS.
When an interviewer asks a difficult question, Cowinx gives you a calm layer of real-time support: live transcription, context-aware answers, screen-aware problem solving, interview memory, and cross-language translation. It helps you think clearly under pressure without interrupting the flow of the conversation.
Built as a native macOS app — not a browser tab — Cowinx is designed to feel like part of your Mac rather than another noisy dashboard. Its non-activating, click-through panel does not steal focus from your browser or IDE. Your cursor stays normal, the active window stays active, and the app does not appear in the Dock or ⌘-Tab switcher. Heavy AI processing is handled on secure servers, keeping the local footprint near idle so the experience stays fast, quiet, and natural.
Cowinx is stealth-first by design. The panel stays out of what you share with the interviewer and is designed to remain invisible in screen sharing, screenshots, and recordings. There are no surprise pop-ups, disruptive system dialogs, or visible billing warnings in the middle of an interview. Cowinx is tested daily across Zoom, Microsoft Teams, Google Meet, Webex, FaceTime, HackerRank, CoderPad, Codility, and other common interview environments.
The answers are built for real conversations, not walls of generic AI text. For behavioral questions, Cowinx can structure responses with the STAR method. For technical and system design questions, it provides a clear approach, key trade-offs, complexity analysis, architecture ideas, and follow-up points. For coding interviews, capture the problem on screen and get a working solution with an explanation you can actually talk through. It supports coding, system design, behavioral, machine learning/data science, frontend, and full-stack interviews.
Cowinx also remembers the conversation. Add your résumé, job description, or background notes and receive
Comments will be available once the project is launched.
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