10,000 Questions: How We Built the Largest Interview Bank

When we set out to build Interafinity's interview question bank, we had one goal: make it the most comprehensive, well-organized, and regularly updated collection of real interview questions available anywhere.

Here's how we did it — and what we learned along the way.

The Scale of the Problem

Interview questions aren't like trivia questions. They're contextual, company-specific, role-specific, and they evolve as companies change their hiring processes.

A question like "Design a URL shortener" means something different in a Google system design round than in a startup take-home assignment. The same behavioral question about leadership might be evaluated completely differently at Amazon (Leadership Principles) versus Microsoft (Growth Mindset).

We needed to capture not just the questions, but the context around them.

Our Curation Process

Step 1: Collection. We sourced questions from public interview experience posts (Glassdoor, Blind, Reddit, LeetCode Discuss), our own user submissions (anonymized), and partnerships with career coaches who share patterns they see in real interviews.

Step 2: Verification. Every question goes through a verification process. We cross-reference across multiple sources to confirm it's been asked in real interviews, not just theoretically discussed.

• Company (Google, Amazon, Meta, etc.)
• Role type (SWE, PM, Data, Design, etc.)
• Question type (behavioral, technical, system design, case study)
• Difficulty (easy, medium, hard)
• Topics (arrays, graphs, leadership, metrics, etc.)

Step 4: Answer Frameworks. For each question, we provide structured answer frameworks — not complete answers (which would be counterproductive), but scaffolding that helps you build your own response.

The Numbers Today

• 10,000+ verified questions
• 50+ companies covered
• 12 role types
• 5 difficulty levels
• 200+ topic tags
• Updated weekly with new submissions

What Makes Our Bank Different

Company-specific context. We don't just list "Design a parking lot." We tell you which company asked it, what role it was for, and what evaluation criteria the interviewer likely used.

Freshness. Interview questions change. Companies update their question pools every 6-12 months. We track these changes and flag questions that are trending or declining.

Practice integration. Every question in the bank can be immediately practiced in our mock interview engine. You're not just reading questions — you're answering them with AI feedback.

Lessons Learned

Quality over quantity. We initially tried to hit 20,000 questions. We realized that duplicate and low-quality questions dilute the experience. We trimmed back to 10,000 high-confidence questions.

User submissions are gold. Some of our most valuable questions come from users who submit what they were asked in recent interviews. We verify these quickly and add them within 48 hours.

Categorization is never done. As new roles emerge (AI Engineer, Growth PM, Staff Engineer), we need to create new categories and re-tag existing questions.

What's Next

We're working on AI-generated follow-up questions — if you answer "Design a cache," the system will generate realistic follow-ups like "How would you handle cache invalidation at scale?" to simulate a real interview conversation.

Explore the question bank on Interafinity — filter by company, role, and topic to start practicing today.