Tech interviews with AI voice practice + spaced repetition
HireReady is a technical interview preparation platform designed for software engineers preparing for coding, system design, and behavioral interviews at technology companies. It integrates AI-powered voice interviews with a research-backed spaced repetition system to support long-term knowledge retention and practical skill development. The platform serves developers at all experience levels—from early-career engineers to senior candidates targeting roles at companies such as Google, Meta, Amazon, Microsoft, and Stripe.
Unlike tools focused exclusively on coding practice, HireReady unifies multiple dimensions of technical interviewing into a single environment. It emphasizes evidence-based learning methodologies, adaptive difficulty progression, and sustainable practice habits—addressing common challenges like information decay, interview anxiety, and burnout associated with traditional preparation methods.
Users begin by selecting an interview domain—coding, system design, or behavioral—and are presented with questions matched to their current skill level. After answering, the system evaluates responses: coding solutions are assessed for correctness, time/space complexity, and code quality; behavioral and verbal responses are evaluated for accuracy, completeness, and hint usage. This evaluation feeds into the FSRS-5 algorithm, which calculates optimal intervals for subsequent reviews to maximize retention.
Voice interviews operate asynchronously via browser-based audio input. Users speak through problems in real time while the AI interviewer provides follow-up questions, contextual hints, and post-session feedback. All interactions are processed client-side where possible, with backend validation handled securely via Supabase and OpenAI integrations. The platform is built with Next.js 16, React 19, TypeScript, and deployed on Vercel with SOC 2–compliant infrastructure.
HireReady supports practical, high-fidelity interview preparation across the full technical hiring spectrum. Developers use it to reinforce DSA patterns through timed coding exercises, rehearse system design trade-offs using scenario-based prompts, and refine behavioral storytelling using structured STAR-method templates. The spaced repetition system ensures learned concepts—such as heap-based algorithms or CAP theorem implications—are retained over weeks and months, not just until the next interview.
The platform is especially valuable for candidates practicing independently without access to human mock interviews, those seeking consistent feedback on communication skills, and professionals aiming to maintain long-term technical fluency beyond immediate job searches. Its responsive PWA architecture enables practice on desktop, tablet, or mobile devices without installation.
| Feature | HireReady | LeetCode | AlgoExpert | NeetCode |
|---|---|---|---|---|
| AI Voice Interviews | ✓ | ✗ | ✗ | ✗ |
| Spaced Repetition (FSRS) | ✓ | ✗ | ✗ | ✗ |
| Coding Problems | ✓ | ✓ | ✓ | ✓ |
| System Design | ✓ | ✗ | ✓ | ✗ |
| Behavioral Prep | ✓ | ✗ | ✗ | ✗ |
| Gamification (XP/Streaks) | ✓ | ✓ | ✗ | ✓ |
| Company-Specific Questions | ✓ | ✓ | ✓ | ✓ |
| Anti-Burnout Design | ✓ | ✗ | ✗ | ✗ |
| Progress Analytics | ✓ | ✓ | ✓ | ✓ |