René's URL Explorer Experiment

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      "https://www.kaggle.com/datasets/manifoldinfo/interview-questions-aggregated-sample",
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      "https://github.com/techreign/best-leetcode-resources",
      "https://github.com/techreign/awesome-competitive-programming",
      "https://github.com/techreign/awesome-leetcode-resources",
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      "https://github.com/techreign/coding-interview-university",
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      "https://github.com/techreign/awesome-interview",
      "https://github.com/techreign/tech-interview-handbook",
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  "@type": "Blog",
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  "name": "LeakCode Blog",
  "url": "https://leakcode.dev/blog",
  "description": "Data-backed research on tech hiring trends, FAANG interview patterns, and source analysis from the LeakCode interview intelligence database.",
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  "blogPost": [
    
    {
      "@type": "BlogPosting",
      "headline": "The Most-Asked Amazon Interview Questions in 2026 (From 4,577 Reports)",
      "url": "https://leakcode.dev/blog/amazon-interview-questions-2026",
      "datePublished": "2026-05-19",
      "dateModified": "2026-05-19",
      "author": {
        "@type": "Organization",
        "name": "LeakCode"
      },
      "description": "We pulled every Amazon question in the LeakCode database and ran the numbers. 4,577 clean entries across 7 sources. Here is what the data shows about Amazon\u0027s coding rounds, OAs, and system design in 2026."
    },
    
    {
      "@type": "BlogPosting",
      "headline": "1Point3Acres Explained: The Chinese Interview Forum Every Western Candidate Is Missing",
      "url": "https://leakcode.dev/blog/1point3acres-explained",
      "datePublished": "2026-05-19",
      "dateModified": "2026-05-19",
      "author": {
        "@type": "Organization",
        "name": "LeakCode"
      },
      "description": "There is a forum with thousands of real FAANG interview reports that most English-speaking candidates have never heard of. LeakCode pulls from it. Here is what it is, why it matters, and what the 3,553 questions we have indexed from it actually show."
    },
    
    {
      "@type": "BlogPosting",
      "headline": "We Aggregated 33,000+ Interview Questions From 7 Sources. Here\u0027s What the Data Says About FAANG Hiring in 2026.",
      "url": "https://leakcode.dev/blog/faang-hiring-data-2026",
      "datePublished": "2026-05-19",
      "dateModified": "2026-05-19",
      "author": {
        "@type": "Organization",
        "name": "LeakCode"
      },
      "description": "LeakCode analyzed 33,014 real candidate-reported questions to surface what FAANG companies actually ask in 2026. Top companies by volume, round type distribution, and source breakdown \u2014 all real numbers from the database."
    },
    
    {
      "@type": "BlogPosting",
      "headline": "System Design Interview Question Frequency Analysis (2026)",
      "url": "https://leakcode.dev/blog/system-design-question-frequency-2026",
      "datePublished": "2026-05-19",
      "dateModified": "2026-05-19",
      "author": {
        "@type": "Organization",
        "name": "LeakCode"
      },
      "description": "LeakCode has tagged 1,722 system design rounds across 33,000+ candidate reports. Five thematic clusters \u2014 storage, scale, caching, queuing, and real-time \u2014 account for the majority of what companies actually ask. Here is the breakdown."
    },
    
    {
      "@type": "BlogPosting",
      "headline": "Google L4 vs L5 Interview: What Actually Changes",
      "url": "https://leakcode.dev/blog/google-l4-vs-l5-interview-differences",
      "datePublished": "2026-05-19",
      "dateModified": "2026-05-19",
      "author": {
        "@type": "Organization",
        "name": "LeakCode"
      },
      "description": "Most interview prep treats \u0027senior engineer\u0027 as a single target. LeakCode\u0027s aggregated Google reports show that L4 and L5 loops have meaningfully different calibration signals in coding speed, system design scope, and behavioral weighting."
    },
    
    {
      "@type": "BlogPosting",
      "headline": "Behavioral Interview Patterns by Company (2026 Data)",
      "url": "https://leakcode.dev/blog/behavioral-interview-patterns-by-company",
      "datePublished": "2026-05-19",
      "dateModified": "2026-05-19",
      "author": {
        "@type": "Organization",
        "name": "LeakCode"
      },
      "description": "Behavioral prep advice usually treats all FAANG companies as interchangeable. LeakCode\u0027s aggregated reports show they are not. Here is how Amazon, Google, Meta, and Microsoft each run behavioral rounds differently."
    },
    
    {
      "@type": "BlogPosting",
      "headline": "Why Old LeetCode Lists Stop Working: Recency Bias in Interview Prep",
      "url": "https://leakcode.dev/blog/recency-bias-in-interview-question-prep",
      "datePublished": "2026-05-19",
      "dateModified": "2026-05-19",
      "author": {
        "@type": "Organization",
        "name": "LeakCode"
      },
      "description": "A static question list from 2023 is not the same as a live question database updated from 2026 reports. LeakCode tracks question rotation across FAANG. Here is what the data shows about how fast company pools change."
    },
    
    {
      "@type": "BlogPosting",
      "headline": "Phone Screen vs Onsite Difficulty: What the Data Says",
      "url": "https://leakcode.dev/blog/phone-screen-vs-onsite-difficulty-data",
      "datePublished": "2026-05-19",
      "dateModified": "2026-05-19",
      "author": {
        "@type": "Organization",
        "name": "LeakCode"
      },
      "description": "LeakCode analyzed 6,003 phone screen and 1,347 onsite-tagged reports. The difficulty gap is real but the nature of that gap \u2014 harder problems vs higher simultaneous demands \u2014 is widely misunderstood."
    }
    
  ]
}