LeetCode company repo
A public GitHub repo that aggregates LeetCode interview questions by company (300+ firms including Citadel, Jane Street, Goldman) and sorts them by recency went viral as a study tool — it’s presented as a way to map interview patterns for targeted prep. Recruiters and students are using the list to focus practice for specific buyside and trading interviews (x.com).
The GitHub project leetcode-companywise-interview-questions is published under the user snehasishroy and its README notes a snapshot date of Feb 21, 2026; the repository shows roughly 3.2k stars and about 718 forks in public indices. (github.com) The repository’s file tree contains dozens of company-specific directories and commit entries that update “problem statements” across many firms, with the last bulk updates labeled Feb 21, 2026. (github.com) The README documents built-in filters and metadata fields—time windows (last 30 days, 3 months, 6 months, 1 year) plus attributes such as difficulty, acceptance rate and a frequency percentage to enable ranked filtering. (github.com) This pattern is repeated across multiple public projects; the long-running LeetCode-Questions-CompanyWise repo by krishnadey30 remains one of the most-followed examples and shows roughly 19k stars. (github.com) Community guides and tutorials have surfaced the aggregated lists for targeted practice: a Dev.to walkthrough explains building a company-filtered tool from GitHub sources, and a YouTube walkthrough demonstrating a “company-wise” repo has gathered roughly 1.9k views. (dev.to) Third-party sites and companion projects now expose the same dataset in web apps that advertise broad coverage—one aggregator’s 2026 index advertises access to problems across “1000+” company-specific listings for filtering by difficulty and timeframe. (codinginterviewai.com)
