Learn why Frontend Interviews connects realistic conversation, code, architecture, coaching, and evidence instead of reducing preparation to question lists.
Frontend interviews ask candidates to combine knowledge, communication, implementation, and judgment under pressure. We built the product around that complete performance—not around memorizing isolated answers.
Candidates often know more than they can demonstrate in an interview, while hiring teams struggle to compare unstructured conversations consistently. The product creates a realistic practice and screening environment where important decisions become reviewable.
Candidate learning and hiring-team screening are deliberately separated. Candidates can learn, practice, retry, and track progress. Teams can configure role-relevant interviews, invite internal candidates, and review evidence without exposing private candidate-workspace data.
The AI adapts questions, facilitates practice, organizes evidence, and supports reflection. It does not guarantee an outcome or make an employment decision. Candidates and human reviewers remain responsible for judgment.