The full review
What is interviewing.io?
interviewing.io is a technical interview practice platform that pairs software engineers with working and former interviewers from Meta, Google, OpenAI, Amazon, Microsoft, Netflix and Stripe. The homepage promise is blunt: anonymous mock interviews covering coding, system design, machine learning and behavioral rounds.
Sessions are live rather than recorded homework. You work a problem with a real interviewer over audio and chat, and each session ends with an in-depth rundown of what you did well on and how you can improve, from a senior engineer who has made hiring decisions at FAANG. The vendor reports hosting 100K mock interviews and helping 10K engineers get jobs at great companies.
Anonymity is the feature, not a gimmick
Interviews carry voice and chat but no video, and your interviewer never sees your identity, so how much you reveal stays your call. That solves a real problem: practicing with a colleague or a friend inside your target company is awkward, and bombing in front of them carries a cost. On interviewing.io a bad round costs you nothing socially.
Sessions run in interviewing.io's own version of CoderPad, and afterwards you can unmask and connect with your interviewer if you'd like. Book, meet the interviewer, get actionable notes - it slots easily into the week before an onsite.
The free AI Interviewer as a warm-up lap
interviewing.io offers a free AI Interviewer that simulates a FAANG-style round and handles both coding and system design. The FAQ points first-timers straight at it, and the homepage notes it draws on more than 200 problems from Beyond Cracking the Coding Interview, the sequel the interviewing.io team helped write.
The sensible order is to knock the obvious rough edges off with the AI Interviewer, then spend a paid session on the round that still frightens you - usually system design or behavioral.
Matching the interviewer to your actual loop
The mocks catalog filters in the ways that matter. The mocks replay library filters by company, focus, level, language and DS&A topic, with focus values covering data structures and algorithms, system design, machine learning and behavioral; separately, the FAQ confirms you can request an interviewer from a specific company, and the site lists company-specific mocks for Apple, Meta, Amazon, Google, Microsoft and Netflix. The wider roster adds Airbnb, Stripe, Snap, Shopify, Spotify, Uber, Palantir, LinkedIn and Snowflake.
With a named onsite already booked, that targeting is the strongest reason to pick interviewing.io over a generic practice site. Going deeper, the platform sells multi-session dedicated coaching for Amazon, Google and Meta in blocks of three, five or ten one-on-one sessions.
A free library that stands on its own
Much of the interviewing.io catalog costs nothing. The Learn hub carries hiring process guides for dozens of companies, a dedicated Amazon Leadership Principles guide, a System Design Interview guide, and interview replays sorted by company, programming language and topic, plus a question bank with worked solutions for classics like three sum and reverse linked list.
These guides go deeper than the usual listicle. The Google one walks through the recruiter call, phone screen, onsite and team matching, then explains the seven-point rating scale and how the hiring committee weighs it.
The employer side of the marketplace
The same pool feeds a hiring product. Employers tell interviewing.io how many engineers they want to interview and when, then do whatever they would normally do in a technical phone screen, run anonymously on the platform to avoid bias. interviewing.io states that you only pay when candidates pass your technical bar. The vendor reports that customers save around 220 hours per hire and that its candidates convert 3X better than other channels.
Who should choose interviewing.io
interviewing.io fits mid-level and senior software engineers with a real loop coming at a company that runs a hard technical bar. The value is calibration: an hour with someone who currently runs those loops tells you where you stand. Managers and staff-plus candidates are covered too, since the listed interview types include engineering management, behavioral, system design and staff-level-and-above rounds.
It is not the right tool for someone still learning to code, or for a candidate on a tight budget who mainly needs repetition - free problem sets and the AI Interviewer cover that stage better. It is also built squarely for software and machine learning roles, so product, design and analytics candidates should look elsewhere.
Strengths
- Practice with real, active senior/FAANG engineers rather than generic career coaches
- Genuinely useful free tier: anonymous peer interviews plus an AI interviewer for coding and system design
- Full anonymity (voice masking, no names) lowers the stakes and reduces bias in practice
- Every session is recorded and comes with concrete written feedback you can review
Watch out for
- Expensive: live sessions start at $179 and multi-session coaching packages run ~$2,000+
- No flat subscription, so costs stack quickly for anyone practicing repeatedly
- Heavily skewed to software engineering; limited value for non-technical or non-coding roles
- Interviewer quality and availability vary, and the cheapest slots aren't from top-tier companies
Key features
| Feature | What it does |
|---|
| Live interviews with real engineers | Book anonymous technical mock interviews with vetted senior and FAANG interviewers, with realistic coding and system-design formats. |
| Free AI Interviewer | FAANG-style coding and system design sessions with automated feedback across 200+ problems, available at no cost. |
| Anonymity by design | Voice masking and hidden identities let you practice (and fail) without it affecting your reputation, and reduce interviewer bias. |
| Recordings and written feedback | Every session is recorded and paired with detailed feedback so you can spot recurring weaknesses over time. |
How interviewing.io compares
| Alternative | How it differs |
|---|
| Exponent | Subscription-based interview prep (coding, system design, PM) with peer practice and courses; cheaper flat pricing but less FAANG-recruiter access. |
| Pramp | Free peer-to-peer mock interviews (now part of Exponent); good for volume practice but no professional/company interviewers. |
| IGotAnOffer | Coaching marketplace with ex-FAANG mentors across tech and non-tech roles; per-session coaching rather than an anonymous practice platform. |
Frequently asked questions
Is interviewing.io free?
Partly. Anonymous peer mock interviews and the AI Interviewer (coding and system design) are free, and you can earn more peer sessions by interviewing others. Live interviews with professional engineers are paid, starting at $179 per session.
How much does a coaching package cost?
Individual professional interviews start at $179 and rise to roughly $225–$300+ for company-specific FAANG interviewers. Dedicated multi-session coaching packages start around $2,000 for three sessions, with 5- and 10-session options; a 'Pay Later' program lets you defer payment until you land a job.
interviewing.io ratings on other platforms
Independent user ratings from third-party review sites, linked here for transparency.
These are not our editorial score, are captured on the date shown, and may have changed since.