interviewing.io

One-line Overview

interviewing.io is an online platform focused on anonymous mock technical interviews. Built by a U.S.-based team, its core selling point is that users can do one-on-one mock interviews with working engineers from top tech companies such as FAANG (Facebook, Apple, Amazon, Netflix, Google), alongside an AI interviewer feature. People choose it because it emphasizes “anonymity” and “real feedback,” helping candidates uncover weaknesses in a lower-pressure environment and improve their actual interview performance.

Business Details

interviewing.io was founded around 2015 and initially positioned itself around “anonymous interview practice.” Users can take part in mock interviews without revealing their real identity, while interviewers are real engineers from major companies. The platform mainly offers two types of services: Live Interview, where users can book real-time mock interviews with engineers who have FAANG backgrounds; and AI Interview, where algorithms simulate the interview process and provide scoring. In terms of market positioning, it sits in the mid-to-high-end segment of technical interview preparation tools and is especially popular among job seekers in North America and Europe. Its customer base is primarily individual developers, especially software engineers and data scientists preparing for job changes or campus recruiting. There does not appear to be any publicly available enterprise-level custom service at the moment.

Who It’s For

The most typical interviewing.io user is a software engineer preparing for technical interviews, especially candidates targeting FAANG or companies at a similar level. Individual developers are the main audience, as the platform emphasizes one-on-one feedback and anonymity, making it suitable for people who want to practice repeatedly without exposing their current employer or interview history. Small teams or internal company training programs could use it indirectly, but the platform does not offer team plans or bulk purchasing options. For users in China, it is better suited to those who are fluent in English, familiar with Western interview culture, and able to access overseas networks reliably. It is not very suitable for complete beginners or people just starting to learn programming.

Key Features and Highlights

• Anonymous interview mechanism: Users and interviewers do not know each other’s identities, reducing psychological pressure and making interviewers more willing to give honest negative feedback.
• Real FAANG interviewers: Interviewers come from companies such as Google, Facebook, and Amazon, helping simulate the difficulty and style of real interviews.
• AI interviewer: Offers 24/7 AI mock interviews, automatically generating questions and scores, suitable for quick practice and self-assessment.
• Detailed feedback reports: After each interview, users receive audio/video replays, code scoring, and communication-performance analysis to identify weaknesses.
• Broad interview question coverage: Question types include algorithms, system design, behavioral questions, and more, staying close to industry trends.
• Community and matching system: Automatically matches users with interviewers or AI questions at an appropriate difficulty level based on their skill level, avoiding wasted time.

Pricing Analysis

interviewing.io is on the moderately expensive side compared with similar products. Specific monthly or annual fees are not publicly listed and require registration to view, but according to industry rumors, a single live mock interview usually costs around USD 50-100. This is more expensive than Pramp’s free model or LeetCode’s subscription plan at around USD 35/month. The AI interviewer feature may be included in a basic plan, while live interviews typically require an additional payment. There is no clear refund policy, which means users may not be able to get a refund if they are dissatisfied after purchase. Overall, its value for money depends on whether the user truly needs high-quality human feedback. If you only want to grind coding problems, the price is relatively high.

How Users in China Can Use It

interviewing.io is “basically usable” in China, but it requires a VPN, because the platform relies on Google login, YouTube video tutorials, and overseas servers. Network stability may be inconsistent, and live interviews may experience latency or disconnections, so a high-quality VPN is recommended. In terms of payment, the platform mainly supports international credit cards such as Visa and Mastercard, as well as PayPal. Common domestic payment methods such as Alipay and WeChat Pay are not supported, so users need a foreign-currency credit card or a PayPal account. For invoices, the platform may provide electronic receipts, but Chinese VAT invoices are generally not available. Domestic alternatives include the mock interview feature on Nowcoder, which is free but has uneven interviewer quality, and Saima’s AI mock interviews, though neither offers FAANG-level human interviewers.

Pros and Cons

Pros:

• ✅ Human interviewers come from FAANG, offering professional and realistic feedback
• ✅ Anonymous format lowers the psychological barrier and is suitable for repeated practice
• ✅ AI interviewer is available 24/7, convenient for fragmented practice time
• ✅ Detailed feedback reports include audio/video replays, making review more efficient
• ✅ Question bank follows industry trends, with in-depth system design questions

Cons:

• ❌ Relatively expensive, with live mock interviews costing a notable amount per session
• ❌ Users in China must use a VPN, and network stability may be questionable
• ❌ Does not support Alipay or WeChat Pay, creating a higher payment barrier
• ❌ No clear refund policy, so users bear the risk after purchase
• ❌ Does not provide Chinese invoices, making reimbursement difficult for business users

Comparison with Similar Products

• Pramp: Completely free and offers live mock interviews, but interviewers are random users rather than FAANG engineers, so feedback quality is inconsistent. Suitable for job seekers with limited budgets.
• LeetCode Interview module: Around USD 35/month, mainly focused on coding practice and AI scoring. Its live interview functionality is relatively weak, but it has a huge question bank and supports Chinese. Suitable for users who mainly want to practice problems and occasionally do mock interviews.
• Interview Kickstart: More expensive, at around USD 500-1000 per course. It provides structured training rather than one-off mock interviews, making it suitable for career changers who need long-term coaching.

interviewing.io differentiates itself through “anonymity + top-tier interviewers.” It is more professional than Pramp, more realistic than LeetCode, and more flexible than Interview Kickstart.

Recommendation

interviewing.io is a good fit if you have already solved many LeetCode problems but lack real interview experience, and want FAANG-level feedback to identify and fix gaps. It also makes sense if you are fluent in English, targeting overseas tech giants, and willing to pay for high-quality feedback. It is not ideal for people who are just starting to learn programming, have a tight budget, or are mainly targeting major Chinese tech companies such as BAT, because domestic interview styles are different and the platform has relatively high network and payment barriers. It is best to try the AI interviewer first if a free trial is available, then decide whether to buy a live interview package, to avoid committing too much upfront.