About LeakCode

What LeakCode Is

LeakCode is an interview intelligence aggregation service. We collect real interview questions and candidate experiences from 7 primary sources, translate paywalled Chinese-language content to English, classify every entry by role, round, seniority, and topic, and make it all searchable in one place.

As of May 2026, the LeakCode database contains 59,970 questions and interview experiences from 2,000+ companies. That includes everything from FAANG to Series A startups, covering software engineering, machine learning, product management, data science, quantitative finance, and more.

LeakCode is not a prep course. It is a data layer: the raw intelligence that serious candidates use to understand what a specific company actually asks in a specific role, in a specific round, right now. Use Browse Companies to explore the full catalog, or Search LeakCode for a specific topic or company.

Origin Story

LeakCode was built out of a personal frustration. Preparing for FAANG-level interviews in 2024 meant juggling five different platforms, three different languages, and two different paywalls just to piece together what Google was actually asking in system design rounds that month. The information existed. Other candidates had it. It was scattered, Chinese, and expensive.

The insight was simple: this problem is a data engineering problem, not a content problem. Nobody needed to write new interview questions. They needed to aggregate, translate, classify, and surface the ones that already existed. So that's what we built.

The first version of LeakCode processed 1Point3Acres premium posts through a translation pipeline and exposed them via a search interface. From there, we added source after source: LeetCode company-tagged problems, Blind insider posts, Glassdoor interview reviews, GeeksforGeeks, Reddit, and more. Today the pipeline runs daily, adding hundreds of new entries every week.

The Seven Sources

LeakCode aggregates from 7 primary sources. Each source contributes something the others don't:

• 1Point3Acres (1p3a). The largest Chinese-language tech interview forum, with a $100/month premium tier. Most English-speaking candidates never access it. LeakCode translates premium 1p3a content to English and surfaces it alongside the rest of the database. Source key: 1p3a.
• LeetCode Premium. Company-specific problem sets available only to premium subscribers. LeakCode surfaces which LeetCode problems are tagged to each company and how frequently each problem appears in reports. Source key: leetcode and lc_company.
• Blind. Anonymous tech professional forum with heavy FAANG representation. Interview experiences, comp data, and hiring bar discussions. Source key: blind.
• Glassdoor. Broad interview review database covering thousands of companies across every industry. More startup and non-tech coverage than the other sources. Source key: glassdoor.
• GeeksforGeeks. Community-submitted interview experiences with strong coverage of mid-market and Indian tech companies. Source key: gfg.
• Reddit. r/cscareerquestions, r/ExperiencedDevs, r/leetcode, and other communities. High signal-to-noise ratio after filtering; captures real-time discussion that other sources miss. Source key: reddit.
• 1p3a OJ Catalog. The 1Point3Acres company-specific coding problem catalog. 3,553 full English problem statements with sample I/O and graded test cases for 50 top companies. Zero translation needed. Source key: 1p3a_oj.

See the full LeakCode Sources page for coverage details by source.

How the Pipeline Works

Every entry in the LeakCode database goes through a four-stage pipeline before reaching you. See the full How LeakCode Works page for the technical breakdown.

• Collect. Scrapers run daily against each source. New content is written to source-specific databases before entering the unified pipeline.
• Transform. A transform layer normalizes company names across all sources (2,000+ canonical names, 2,300+ aliases), deduplicates across sources, and classifies content by type (question, experience, discussion).
• Enrich. Chinese-language content from 1p3a and Nowcoder is translated using LLM enrichment. Interview slang is decoded, context is added, and every entry is tagged with role, round, seniority, and topic metadata.
• Audit. A rules-based audit flags junk, spam, broken translations, and low-quality entries. The current drop rate is about 10% across all sources. 1p3a OJ content has a 0% drop rate.

Why We're Different

There are other interview prep services. Here's how LeakCode compares:

For a full side-by-side comparison, see LeakCode vs LeetCode and LeakCode vs 1Point3Acres.

Data Integrity and Sourcing

All questions on LeakCode trace back to voluntary public or subscriber disclosures on source platforms. We do not solicit confidential information. We do not publish anything candidates have asked to keep private. Every entry is a candidate-reported experience or a publicly tagged problem.

We believe the information advantage should not be gated by language, geography, or the ability to afford five different subscriptions. The data exists. Everyone who knows where to look already has it. LeakCode makes access equitable.

Our Values

• Open Access. A $50/month service that does more than a $199/month competitor is not a compromise. It's the point.
• Transparency. Clear pricing, no dark patterns, no hidden fees. You know exactly what you're getting and where it came from.
• Accuracy over volume. The rules-based audit pipeline removes junk before it reaches users. We would rather show 45,000 clean entries than 60,000 with noise.
• Recency first. Old interview data is interesting. Recent interview data is useful. LeakCode defaults to recency ranking everywhere.

Frequently Asked Questions

See the full LeakCode FAQ for 15+ questions about pricing, sourcing, legality, and how LeakCode compares to alternatives.

Updates and Changelog

LeakCode ships regularly. See the LeakCode Changelog for a dated history of major updates, new sources, and data additions.