Layrs is an AI‑driven platform that combines adaptive tutoring modules with interactive, AI‑hosted mock interviews for system design, data‑structure, and behavioral questions. The split‑screen interface integrates a design canvas, code editor, and real‑time feedback while an analytics engine generates session reports and skill heatmaps to track progress. Users access unlimited mock sessions and detailed analytics through tiered subscription plans.
Funding
Funding not disclosed
Founders
Product
Problem
Software engineers preparing for senior technical interviews often rely on static study guides and ad‑hoc mock sessions, which provide limited real‑time feedback and fail to replicate the dynamic flow of system design, data‑structure, and behavioral interviews at top‑tier tech companies.
Solution
Layrs delivers an AI‑driven platform that combines adaptive tutoring modules with interactive, AI‑hosted mock interviews. The AI tutor presents concept‑focused lessons on topics such as caching, load balancing, and scalability, adjusting difficulty based on the learner’s performance. During mock interviews, the AI interviewer follows a structured, phase‑based workflow—requirements gathering, solution design, implementation, and optimization—while delivering real‑time prompts and follow‑up questions. A split‑screen interface shows the problem statement, a design canvas or code editor, and the interviewer's feedback simultaneously, enabling users to practice communication and trade‑off analysis under realistic conditions. Session data are logged, analyzed, and visualized in a progress dashboard that highlights skill gaps and tracks longitudinal improvement. The platform is offered through tiered subscription plans that grant access to unlimited mock sessions, detailed analytics, and priority support.
Target Audience
The primary users are software engineers ranging from early‑career (SDE‑1) to senior (SDE‑4) who are targeting system design, data‑structure, and behavioral interviews at FAANG firms and high‑bar startups, as well as mentors seeking a consistent practice framework for their mentees.
Features
- Adaptive AI tutor that personalizes learning paths for system design, low‑level design, data structures, and behavioral concepts
- Real‑time AI interview simulation with phase‑based flow (requirements, design, implementation, optimization) and instant, granular feedback
- Split‑screen UI integrating a design canvas, code editor, and interview transcript for immersive practice
- Automated analytics engine producing session reports, skill heatmaps, and progression trends
- Library of 120+ curated interview problems plus “bring‑your‑own‑problem” (BYOP) support for custom scenarios
- Secure, encrypted data storage with role‑based access controls and compliance‑ready privacy safeguards
- Tiered subscription tiers offering unlimited mocks, deep analytics, and priority customer support