Pramp
Verified working Aug 19, 2026
Peer-matched live mock interviews for tech candidates.
Pramp is an interview-practice service, now hosted through Exponent Practice, that pairs users with peers for live mock interviews. It supports common tech interview formats including algorithms, system design, product management, behavioral, frontend, and data science practice, with shared questions, video, and post-session feedback.
Why it stands out
- Emphasizes real-time peer interviewing rather than only solving question banks alone.
- Lets users alternate between candidate and interviewer roles, which can reveal evaluation criteria from both sides.
- Covers several tech interview tracks beyond standard coding, including product, behavioral, system design, frontend, and data science.
- Provides both the practice environment and the interview prompts, reducing setup work for each session.
Good to know
- As of July 2024, new Pramp sessions are hosted on Exponent Practice rather than the original standalone Pramp flow.
- Session quality depends partly on peer availability and the match you receive.
- The service is aimed mainly at tech-industry interview formats, so it may not fit general career coaching needs.
- Live video practice requires coordinating a scheduled session and is less suited to fully asynchronous prep.
Under the radar: If you do not want to rely on automatic peer matching, look for the “Practice with friends” option to run a session with someone you already know.
Photos
Tech job candidates who need live, peer-led practice for coding, system design, product, or behavioral interviews. Rehearse explaining problem-solving out loud before a technical onsite or phone screen. Practice both sides of the interview to better understand what interviewers evaluate. Get structured feedback from another candidate instead of preparing alone. Schedule topic-specific mock sessions around availability and target companies.
Peer matching based on availability, experience, education, practice topics, and target companies; live 1-on-1 browser-based sessions with video and a collaborative workspace; supplied interview questions with answers and interviewer guidance; mutual 30–45 minute interview rounds followed by feedback.
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