Practice 8,500+ real tech-interview questions from 400+ top companies — coding, SQL, ML, and system design — in an in-browser console with AI-assisted hints.
PracHub is a database of technical interview questions sourced from candidates who have recently interviewed at specific companies. Questions are submitted directly by candidates or collected from communities such as 1point3acres, Reddit, and Glassdoor, then verified, translated, and organized by company, role, topic, difficulty, and interview stage. Each question includes the reported date it was asked, a solution, and coverage of what the interviewer was testing. The site lists 9,583 questions across 492 companies, spanning roles including software engineer, data scientist, machine learning engineer, data engineer, and quant, with example companies including Anthropic, Airbnb, OpenAI, Google, Meta, Uber, Jane Street, and Stripe.
The site also offers 73 interview guides covering the stages of a company's hiring process, what each round evaluates, and examples of questions candidates have received, for companies such as Apple, Anthropic, xAI, Microsoft, Netflix, and Stripe across roles like software engineer, data scientist, and machine learning engineer.
This product is aimed at job candidates preparing for technical interviews who want to practice with questions matched to a specific company and role rather than generic problem sets.
It provides real interview questions submitted by candidates right after their interviews, each with a solution explaining what the interviewer was testing. It also offers 73 in-depth company interview guides.
The site has 9,583 verified interview questions covering 492 companies.
No, the questions are real reports from verified candidates, collected and cross-checked from sources like 1point3acres, Reddit, and Glassdoor, then verified, translated, and organized.
Yes, questions can be filtered by company, role, topic, difficulty, and interview stage.
It is for job candidates preparing for interviews at specific companies, including roles like Software Engineer, Data Scientist, ML Engineer, and Quant.
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