Calibrd vs Pramp
Different tools, different parts of the same problem — and most serious candidates use both.
Pramp is a peer-matched mock interview platform — great for raw coding-skill drilling across many companies. Calibrd is a job-specific prep tool — it reads the actual job description and tells you what that interview will ask. Neither replaces the other. Here's an honest side-by-side so you can pick the right one for where you are.
When Pramp is the right tool
You're 3–6 months out from interviews and want to build raw coding and system design skill across many companies. You don't have a specific job posting in mind yet. You like the social pressure of practising with a real human and the reciprocal model — you interview someone, they interview you, both of you get better.
Pramp's strength is the live-human, live-whiteboard experience — the muscle memory of explaining your approach to another engineer in real time, under time pressure, without an undo button. That's a different skill from talking to an AI, and one Calibrd doesn't try to compete on.
When you'll want Calibrd
You have a specific interview lined up — Friday at 2pm with Stripe for a Senior MLE role, or a Tuesday loop at Doctolib for a Sr PM position. You want to know what that interview will likely ask, what gaps the recruiter will probe given your CV against this specific JD, and what to say in the salary conversation at that company's level.
You're also applying to multiple jobs in parallel — eight, fifteen, twenty — and the per-job calibration matters. Pramp's question bank is the same whether you're interviewing at FAANG or a Series B startup; Calibrd's predicted questions, gap analysis and comp benchmark all change per job. The reframe: Pramp builds the skill, Calibrd targets the specific test.
Side-by-side
What you practise
Predicted questions for the specific job posting you're interviewing for — calibrated to the role, level, company patterns and round format.
Generic coding, system design or behavioural problems sampled from Pramp's question bank. Not tied to a specific job.
Who you practise with
An AI that reads your typed or voice answer (OpenAI Whisper transcription, up to 90 seconds), grades it, and rewrites it tighter.
A live human peer (a stranger from Pramp's pool) for a scheduled one-hour session. You take turns being interviewer and interviewee.
Job-posting context
Reads the actual JD. Predicted questions, experience-gap analysis, and salary benchmark all change per job — Stripe MLE generates different questions than Anthropic MLE.
No JD context. Same question bank whether you're interviewing at FAANG or a Series B startup.
Time to start
45 seconds from opening the job posting in Chrome. No scheduling.
Schedule a peer match — typically 24–48 hours out depending on availability and timezone.
Coding round drilling
Predicted coding questions for the JD plus AI feedback on your approach, but no live whiteboard sandbox. Pair with LeetCode for the actual drilling.
Strong — that's Pramp's original use case. Real-time peer-led coding rounds with live whiteboarding.
Behavioural / leadership prep
AI coaching on STAR-method answers tied to the specific job's framing. Voice practice with transcription and inline rewrites.
Peer-led behavioural mocks. Quality depends on partner experience — variable across sessions.
System design rounds
Predicted system design questions for the JD with AI coaching on your walkthrough.
Peer-led mocks on canonical problems (e.g. design Twitter, design Uber). Real-time architecture discussion with a stranger.
Salary + offer prep
Base, variable and equity ranges at the specific role and location, plus a negotiation strategy grounded in market data.
Out of scope. Pramp focuses on the interview itself, not the offer.
CV / cover letter
Two-axis CV scoring (ATS + human recruiter), line-by-line rewrites tied to the JD, and a cover letter with four tone options.
Not part of the product.
When you're applying to many jobs
Designed for it. Open the next posting, get a new report in 45 seconds — each one calibrated to that specific JD.
One generic skill set across all jobs. You'd schedule the same kind of peer mock regardless of which company you're prepping for.
Cost
Free to install with a preview on every posting. Full reports from $3.99 (one), $9.99 (5-pack), or $19.99/month unlimited.
Free — Pramp's model is reciprocal peer matching, not subscription.
Privacy
CV stored locally in Chrome extension storage on your device. Sent to the API over HTTPS only at the moment of report generation, never stored on Calibrd's servers, never used for model training.
Account-based; your peer partner sees your screen during the session and may see/hear your name. Pramp records sessions for some users.
Compared against Pramp's public product (free tier) as of 2026-05.
What most serious candidates actually do
Use Pramp for the months-long coding and system design skill build — peer mocks twice a week, fifteen to twenty sessions across three months. Then, when the actual interviews come in, use Calibrd on each job posting to know what that company is going to ask, where your CV looks thin against that specific JD, and what to push on in the salary conversation. Different tools, different parts of the same prep arc.
Try Calibrd on a real job posting
Install free, open any LinkedIn or Greenhouse job, and see what a job-calibrated report looks like in 45 seconds.
Install Calibrd for Chrome →Free to install · Preview every posting · Paid plans from $3.99