Recent Interview Questions from Top Tech Companies
Last updated: June 2026
Recent interview questions represent what candidates have actually experienced in the most current interview cycles at each company. Unlike historical archives, recent data reflects live interview processes, current difficulty calibrations, and active question pools. Select a company below to see what candidates are being asked right now.
Why Recent Data Beats Historical Averages
Historical question data tells you what a company used to care about. Recent data tells you what it cares about now. The two often overlap but diverge meaningfully when a company changes its hiring bar, adopts new technologies, or shifts headcount strategy. For time-sensitive preparation, recent reports are the primary source.
Recency is especially important for online assessments, which rotate the fastest. But it also matters for system design: a company that has recently migrated to a new infrastructure model will ask system design questions reflecting that model, not the architecture from three years prior.
The most useful recent data combines high recency with high frequency. A single recent report of an unusual question is weak signal. Multiple recent reports of the same question category from different candidates is strong signal that the question is in active rotation. Use both dimensions when deciding where to focus preparation.
Building a Prep Plan from Recent Data
A concrete workflow for converting recent interview reports into a focused preparation plan:
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Start by browsing the recent questions for your target company. Sort by most recent and note the categories that appear in the first 20-30 entries. This gives you a snapshot of the current interview surface.
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Map categories to your preparation gaps. Cross-reference recent questions with your own LeetCode or study history. Categories appearing frequently in recent reports that you have not practiced recently are your highest-priority gaps.
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Allocate preparation time by frequency, not interest. Dynamic programming appearing in 30% of recent reports deserves 30% of your coding prep time even if you find it less engaging than graph problems. Frequency is the objective proxy for interviewer emphasis.
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Revisit recent data weekly if your interview is more than 2 weeks away. New reports arrive daily. A category that was not prominent two weeks ago might have surfaced since. Staying current with recent data is low-cost and potentially high-value.
Browse Recent Questions by Company
Select a company to see its most recently reported interview questions, reflecting current interview cycles and active question pools.
How Recent Questions Vary Across Company Tiers
Tier-1 companies (Amazon, Google, Meta, Microsoft) have the highest volume of recent reports because they run continuous high-volume hiring. Their recent data is dense enough to identify category trends within weeks. Tier-2 companies like Stripe, Bloomberg, and Doordash have lower volume but more consistent processes, making their recent data highly predictive even with fewer reports.
For companies with lower recent report volume, the patterns page and role-specific guides on LeakCode provide additional context. Thin recent data does not mean the interview process is unpredictable. It means you need to rely more on structural preparation than on company-specific question targeting.
Frequently Asked Questions
Where can I find recent interview questions for a specific company?
Select the company from the list below to go directly to its recent interview questions page. Each company page shows questions sorted by recency by default, with filters for role, round type, and year. LeakCode aggregates from 7 platforms including 1Point3Acres, Blind, and Glassdoor, so the recent data covers multiple independent sources.
How recent are the recent interview questions on LeakCode?
LeakCode ingests new reports daily. For high-volume companies, the most recent data is typically within days of the interview date. For lower-volume companies, the most recent entries may be from the past few weeks. The 'Last updated' date on each company page shows the latest ingestion timestamp for that company's data.
Do recent interview questions differ significantly from older ones?
They shift over time. Core categories like algorithms and system design are stable, but specific emphasis changes. A company might increase behavioral question weight, adopt new system design domains, or shift OA difficulty. Recent data captures these shifts in real time. Using a 6-12 month filter on LeakCode balances recency with statistical sample size.
What is the best way to prepare using recent interview data?
Sort by most recent and read the first 20-30 questions without filtering. This gives you an unbiased current-state view. Then identify the 3-4 categories appearing most frequently and focus your preparation there. For OA preparation, filter to OA round type and use the last 60 days as your window. Check back weekly for updates if your interview is upcoming.