Where to Find Leaked Interview Questions [2026-2027]
The definitive guide to finding real, self-reported interview questions for tech company interviews. All sources ranked, with direct links.
What are "leaked" interview questions?
The term "leaked interview questions" refers to real questions that candidates report after completing their interviews. This is standard practice: after interviewing at Google, thousands of candidates share the exact questions they were asked on LeetCode forums, Reddit, Blind, 1P3A, and GeeksForGeeks.
These are not stolen or illicitly obtained. They are self-reported by candidates who own their own experience. Companies know this happens and continue asking the questions anyway, rotating them periodically. The signal degrades slowly — a question reported in Q1 is usually still in the pool in Q3.
The challenge is aggregation. The data is scattered across 7+ platforms, some in Chinese, some behind paywalls, some with no search. LeakCode solves exactly that.
The 7 best sources for real interview questions in 2026
1. LeakCode (this site)
Best overallAggregates all other sources below into one searchable English database. 53,000+ questions, 800+ companies, filterable by role and round. Free to browse.
Browse leakcode.dev/browse →2. LeetCode discussion forums
22,021 indexedThe largest public English-language source of self-reported tech interview questions. Forum posts are searchable but scattered. LeakCode has indexed 22,021 from here.
3. Reddit (r/cscareerquestions, r/leetcode)
15,735 indexedHighly candid experience reports. Redditors share full interview loops including hiring manager rounds, behavioral questions, and rejection reasons. LeakCode has indexed 15,735.
4. 1Point3Acres (1P3A)
5,710 indexedThe largest Chinese-language interview experience community. Extremely high signal for Chinese tech companies, Bytedance, and for US tech companies frequented by Chinese-background candidates. Access is restricted; LeakCode has indexed 5,710 questions from here.
5. GeeksForGeeks (GFG)
5,003 indexedStrong coverage of Indian tech companies and US companies that heavily recruit from India. GFG interview experience articles are structured and detailed. LeakCode has indexed 5,003.
6. InterviewDB
1,269 indexedA purpose-built interview experience database. Smaller but high-quality entries. LeakCode has indexed 1,269.
7. Blind
62 indexedAnonymous professional network with high-signal content but most relevant data is behind walls. LeakCode has indexed 62 public Blind posts.
Is it ethical to use leaked interview questions?
Yes. This is a question worth addressing directly. Self-reported interview experiences are not confidential in any meaningful legal or ethical sense. Candidates share their own experience — something they lived through. Companies do not own the questions they ask, and no NDA covers interview content in standard tech recruiting.
More importantly: every competitive candidate already does this. The candidates who get offers at top companies routinely prepare with reported questions. If you do not, you are at a structural disadvantage. LeakCode makes this preparation accessible to everyone, not just those with access to elite networks, expensive prep communities, or friends at the company.
How to use LeakCode effectively
Find your company
Go to /browse and find your target company. You will see the total question count and source breakdown.
Filter to your role and round
Use the role filter (SWE, ML Engineer, PM, etc.) and round filter (OA, phone screen, system design, behavioral) to see exactly what is relevant to your interview stage.
Sort by recency for 2026 prep
Default sort is by recency. This shows you the most recent reports first, giving you the most current 2026 interview patterns.
Frequently asked questions
Where can I find leaked interview questions for tech companies?▼
Are leaked interview questions actually accurate?▼
Is it ethical to use leaked interview questions?▼
How current are the leaked interview questions on LeakCode?▼
Related pages
Why Leaked Questions Beat Practice Lists
The standard interview prep advice points candidates at LeetCode-style practice problems, the Blind 75 list, AlgoMaster 300, and similar curated sets. These are useful but not optimal for specific company prep. The reason: they reflect what someone thinks should appear in interviews based on theoretical coverage, not what actually appeared in recent interviews at a specific company.
Leaked interview questions (candidate-reported actual interview content) are higher-signal because they reflect what specific companies actually asked specific candidates in specific rounds. A "leaked question" is not a stolen secret; it is one candidate reporting their interview experience, often anonymously, to help future candidates calibrate. Almost every FAANG candidate consults this data; recruiters and hiring managers know this and adjust accordingly. Strong companies update their pools every 2-4 months precisely because they assume candidates have seen the previous pool.
Sources for Leaked Interview Questions in 2026
English-language sources include: LeetCode Discuss (large volume but variable quality), Glassdoor (large but stale), Blind (active community, unstructured), Reddit (r/cscareerquestions, r/leetcode, r/csMajors), Teamblind, and Indeed. Chinese-language sources (1Point3Acres, Nowcoder) have higher volume and recency but require translation. No single source is sufficient.
The best workflow is to aggregate across sources, deduplicate, filter by recency, and rank by frequency. LeakCode does this automatically across 10+ sources. Doing it manually requires several hours per company per week of prep, which most candidates do not have.
Quality vs Quantity of Reports
Report volume varies widely. Amazon clusters at ~8,000 reports; Google at ~5,000; Meta at ~4,000; Apple at ~3,000; OpenAI at ~500. Mid-tier companies (Stripe, Databricks, Notion) cluster in the 300-800 range. Smaller and recent companies have proportionally fewer reports, which makes their question pools harder to calibrate.
Report quality also varies. Reports with explicit metadata (level, round type, year, source) are 5-10x more useful than reports without. Reports from candidates who actually advanced or got an offer are more reliable than reports from candidates who failed early. LeakCode tags reports by these signals where available so you can filter for high-confidence data.