This repository is a documentation-only collection of technical interview questions and solutions, sourced from publicly shared candidate experiences at top tech companies (OpenAI, Anthropic, Databricks, etc.). It contains no executable code, build systems, or tests. Each markdown file presents a problem statement, requirements, follow-up questions, and reference solutions in Python or JavaScript. The content is well-structured, includes edge cases and discussion topics, and serves as a study resource for interview preparation. While not a software application, the solutions demonstrate solid algorithmic and system design patterns. The repository is actively maintained and has no technical drift due to its static nature.
This repository is a static dataset of LeetCode coding problems curated by company and time period. It contains CSV files organized into directories named after hundreds of companies (e.g., Google, Amazon, Meta, Apple, Goldman Sachs), each with subfiles for different time ranges: 'Thirty Days', 'Three Months', 'Six Months', 'More Than Six Months', and 'All'. Each CSV row includes problem difficulty, title, a frequency metric (normalized so the top problem equals 100), acceptance rate, link, and topic tags. The data is a snapshot as of June 2025, derived from aggregated user reports or scraping. There is no executable code, no transformation scripts, and no automated update mechanism. Many CSV files are empty or contain incomplete data, indicating gaps in coverage. The repository serves as a reference for interview preparation but lacks reproducibility and documentation of data provenance.