LeakCode vs InterviewDB

InterviewDB and LeakCode both aggregate real candidate interview reports. They have different source strategies, different question volumes, and different payment models. This page compares them directly so you can decide which is the right tool for your prep.

What InterviewDB Is

InterviewDB launched in early 2025 with a focused mission: translate 1Point3Acres interview reports from Chinese to English. 1p3a is a Chinese-language tech forum with one of the densest concentrations of FAANG interview reports on the internet. A significant portion of that content had never been accessible to English-speaking candidates. InterviewDB's founding insight was that this was a real gap worth solving.

The result is a database of roughly 1,500+ URLs covering interview reports, primarily for FAANG companies. InterviewDB also aggregates LeetCode company-tagged questions. Its payment model is points-based: users earn or buy points to unlock question details. Some content is free.

InterviewDB's moat is narrow but genuine. If its translation pipeline is running well, it provides unique access to Chinese-language 1p3a content that no English-language tool otherwise captures. The limitation is that this single source, even at scale, represents only one corner of the full candidate report landscape.

The LeetCode company tag integration is InterviewDB's second distinct value proposition. It maps LeetCode problem IDs to companies using the tag system, creating a crosswalk between a practice platform and a company-specific question signal. This is useful for candidates who want to practice on LeetCode with direct company relevance embedded in the workflow.

Where LeakCode Goes Broader

LeakCode also indexes 1Point3Acres content, directly from the English-language posts on the platform. But the source set is wider. LeakCode aggregates from 7 platforms: 1Point3Acres, Blind, LeetCode Discuss, Glassdoor, Reddit, GeeksforGeeks, and the 1p3a OJ catalog. Each source has different coverage strengths and different populations of candidates.

  • 51,000+ entries vs ~1,500 URLs. The volume difference is significant. InterviewDB's ~1,500 URLs include both guide pages and question pages; the actual question count is lower. LeakCode's 51,000+ entries are all question-level reports from candidate experiences. This is not a small edge: the difference represents over 30x more data points.
  • 7 sources vs 2. InterviewDB primarily aggregates from 1p3a (translated) and LeetCode. LeakCode adds Blind, Glassdoor, Reddit, GeeksforGeeks, and the 1p3a OJ catalog. Cross-source confirmation is a stronger signal than any single source. When the same question appears on Blind, 1p3a, and Glassdoor independently, the evidence it is in active rotation is much stronger.
  • 2,000+ companies vs FAANG focus. InterviewDB's coverage is concentrated on top tech companies. LeakCode covers 2,000+ companies including quant finance firms, mid-market tech, consulting companies, and companies outside the US where Glassdoor and GFG reports are the primary data source. If you are not interviewing at a top-5 tech company, LeakCode's coverage is likely to be meaningfully better.
  • JSON-LD structured data. LeakCode is the only tool in this space that has implemented JSON-LD structured data (FAQPage, BreadcrumbList, Article schemas) across its pages. This is a technical SEO signal that helps search engines understand and trust the content. InterviewDB has none detected. Structured data enables rich results in Google (expandable FAQ cards, breadcrumb trails) that increase click-through rates from search.
  • Filter breadth. LeakCode's filters cover role, interview round (OA, phone screen, on-site), seniority level, and year. InterviewDB's filtering is more limited. Being able to filter by round type is valuable: the preparation for an OA is completely different from preparation for a system design on-site.
  • Behavioral and system design coverage. InterviewDB's coverage is weighted toward coding questions given its LeetCode integration. LeakCode covers behavioral questions and system design questions as first-class categories, with filters and dedicated question counts for both.

What InterviewDB Does Better

  • Chinese-language 1p3a translation. If InterviewDB's translation pipeline is active and accurate, it provides access to Chinese-language 1p3a posts that LeakCode does not capture. This is a genuine gap. Some of the most detailed FAANG interview reports on 1p3a are in Chinese. Candidates who read Chinese can access this directly, but for English-only readers, InterviewDB's translation is the only automated path to this content.
  • Individual question pages. InterviewDB surfaces questions at the individual URL level at /question/{company}/{question-slug}. This is good for sharing specific questions with teammates and for search engine indexing of individual question content. Shareable question-level URLs are useful for study groups preparing together.
  • LeetCode company tag integration. InterviewDB explicitly maps LeetCode problems to companies using the company-tag system. This crosswalk is useful if you want to practice on LeetCode with direct company relevance. If your workflow is LeetCode-first, InterviewDB's integration connects practice to company signal in a single interface.
  • Points model for low-commitment access. InterviewDB's points-based model lets you unlock individual questions without committing to a subscription. For candidates who only need a small number of question reports for a single interview, points-based access may cost less than a monthly subscription. The trade-off is that subscriptions are more efficient for heavy users.

Source Strategy and Coverage Architecture

The fundamental architectural difference between the two tools is sourcing philosophy. InterviewDB chose depth on a single novel source (Chinese 1p3a translation). LeakCode chose breadth across 7 established platforms. Neither is objectively better; they optimize for different use cases.

For candidates targeting companies where Chinese-language forum activity is high (primarily FAANG companies with large Chinese-heritage engineering teams), InterviewDB's translation coverage may surface genuinely unique questions. For candidates targeting a wide range of companies or roles, LeakCode's breadth advantage is decisive.

In practice, the most comprehensive preparation combines both. Use LeakCode for the broad question database, cross-source frequency analysis, and filter precision. Use InterviewDB specifically if you have reason to believe there is Chinese-language 1p3a signal you are missing. For most candidates, the marginal value of InterviewDB beyond LeakCode is the translation moat, which is real but narrow.

Side-by-Side Comparison

Feature LeakCode InterviewDB
Total question entries51,000+~1,500 URLs (question count lower)
Source platforms7 (1p3a, Blind, GD, Reddit, GFG, LC, OJ)2 (1p3a translated, LeetCode)
Company coverage2,000+FAANG and top tech focus
Chinese 1p3a translationEnglish posts onlyYes (primary differentiator)
Behavioral questionsYesLimited
System design questionsYesLimited
Filter by round typeYes (OA, phone, on-site)Limited
JSON-LD structured dataYes (FAQPage, Article, Breadcrumb)Not detected
Update frequencyDailyUnknown
Payment modelSubscription (browse free)Points-based

Which Tool Fits Your Situation

If your primary research need is accessing Chinese-language 1p3a content that has been translated to English, and you are targeting FAANG companies specifically, InterviewDB is worth evaluating. Its translation moat is real, and for candidates who cannot read Chinese but want the content from Chinese-language 1p3a posts, there is currently no equivalent.

If you want the broadest possible coverage of candidate reports across all question types (coding, behavioral, system design), all major source platforms, 2,000+ companies, daily updates, and structured data implementation for better search result appearance, LeakCode is the deeper and more comprehensive tool.

For most candidates preparing for US tech company interviews, using both in parallel is a reasonable strategy for FAANG targets. Use LeakCode for broad coverage, cross-source frequency, and filter precision. Use InterviewDB if you have specific reason to believe Chinese-language 1p3a posts contain signal you cannot find in LeakCode's English-language 1p3a coverage.

For companies outside the FAANG tier, LeakCode is the only tool with meaningful question coverage. InterviewDB's volume is too concentrated on top tech to be useful for mid-market or niche company preparation.

Frequently Asked Questions

Is LeakCode better than InterviewDB?

For most candidates, yes. LeakCode has 51,000+ questions from 7 source platforms vs InterviewDB's ~1,500 URLs. LeakCode covers 2,000+ companies vs InterviewDB's FAANG focus. The one area where InterviewDB has a genuine edge is its Chinese-language 1Point3Acres translation pipeline, which provides access to interview reports that no English-language tool otherwise captures.

Does InterviewDB translate Chinese 1Point3Acres content?

Yes. InterviewDB's primary differentiator is translating Chinese-language 1p3a interview reports into English. A significant portion of 1Point3Acres' most detailed FAANG interview reports are written in Chinese and have not been accessible to English-speaking candidates. If InterviewDB's translation pipeline is accurate and current, it provides unique access to this content.

How many questions does InterviewDB have compared to LeakCode?

InterviewDB has roughly 1,500 indexed URLs including both guide and question pages. The actual question count is lower. LeakCode has 51,000+ question-level entries from candidate experience reports. Both also have different coverage patterns: InterviewDB is concentrated on FAANG, while LeakCode covers 2,000+ companies.

What payment model does InterviewDB use?

InterviewDB uses a points-based model where users earn or buy points to unlock question details. Some content is free. LeakCode uses a subscription model where browsing is free and premium unlocks full question text. The trade-off is transaction cost (points per question) versus recurring cost (monthly subscription).

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