/ TRACKS
Every track has its own question bank, AI evaluator tuned to that discipline, and feedback dimensions that match what interviewers actually care about.
Product design, metrics deep-dives, estimation, strategy, and behavioral rounds.
React, Angular, Vue, Vanilla JS, CSS layout, accessibility, and performance.
Node.js, Java, Python, Go, API design, databases, and system scalability.
Generative AI, LLMs, RAG pipelines, prompt engineering, classical ML, and MLOps.
SQL, schema design, indexing and query optimization, transactions, NoSQL, distributed databases, and vector databases.
Leadership, conflict resolution, culture fit, and ownership questions.
Arrays, trees, graphs, and dynamic programming — solve in JavaScript or Python with a real in-browser editor.
/ HOW IT WORKS
Every track has a dedicated AI coach tuned to that discipline — a frontend interviewer scores component thinking and browser API depth, not PM frameworks. Pick a question, answer it (voice or text), get feedback calibrated to exactly what that interview loop cares about.