liquidslr/leetcode-company-wise-problemsPublic

What is leetcode-company-wise-problems?

Curated, time-filtered lists of LeetCode problems mapped to specific tech companies to streamline interview preparation.

What does leetcode-company-wise-problems do?

This repository provides highly targeted preparation materials for software engineering interviews by grouping LeetCode problems according to the companies that frequently ask them. It organizes questions chronologically—covering the last 30, 60, and 90 days—giving candidates a clear picture of current hiring trends. The technical approach relies on meticulously maintained CSV and Markdown files that map directly to LeetCode's proprietary tags. What sets this apart is its focus on recent data, ensuring candidates aren't studying outdated problem sets. It serves as an essential index for optimizing limited study time before high-stakes technical screens.

Who is leetcode-company-wise-problems for?

This resource is designed for software engineers, computer science students, and anyone actively preparing for technical coding interviews at major tech companies. It requires a basic understanding of data structures and algorithms.

How do I get started with leetcode-company-wise-problems?

Clone the repository or browse the Markdown files directly on GitHub to find your target company.

How popular is leetcode-company-wise-problems on GitHub?

liquidslr/leetcode-company-wise-problems has 30,951 stars and 5,973 forks on GitHub, and gained 648 stars in the last 7 days.

• Oct 4, 2026Previously tracked as liquidslr/interview-company-wise-problems; its 1 daily snapshot and 3 trending appearances were merged into this profile. Stars: 27,479 on 2026-07-29 under the old name, 30,951 on 2026-10-02 (+3,472).

• Widely adopted

  30,951 stars

• Repeat trending

  3 trending appearances

This repository provides highly targeted preparation materials for software engineering interviews by grouping LeetCode problems according to the companies that frequently ask them. It organizes questions chronologically—covering the last 30, 60, and 90 days—giving candidates a clear picture of current hiring trends. The technical approach relies on meticulously maintained CSV and Markdown files that map directly to LeetCode's proprietary tags. What sets this apart is its focus on recent data, ensuring candidates aren't studying outdated problem sets. It serves as an essential index for optimizing limited study time before high-stakes technical screens.

This resource is designed for software engineers, computer science students, and anyone actively preparing for technical coding interviews at major tech companies. It requires a basic understanding of data structures and algorithms.

• Company-Specific Grouping: organizes problems by top-tier tech companies so candidates can target their preparation efficiently.
• Time-Based Filtering: segments questions by recent appearance (30, 60, 90 days) to highlight current interview trends.
• Direct Integration: provides exact mappings to LeetCode, eliminating the need to search for matching problem descriptions.
• System Design Addendum: includes supplementary notes and links for the system design portions of technical interviews.
• Continuous Updates: maintains relevance by regularly syncing with the latest candidate reports and platform tags.

Getting started: Clone the repository or browse the Markdown files directly on GitHub to find your target company.

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