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liquidslr/leetcode-company-wise-problems resource

Lists of company wise questions. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode company tags. Updated as of 20 June, 2025 observed · 2026-08-28

github.com/liquidslr/leetcode-company-wise-problems observed · 2026-08-28

Health v2 · maintenance only

65/100

  • Activity 98
  • Release rhythm 35
  • Longevity 43

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 610
  • days_rel: n/a
  • days_push: 17
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

29273 stars · 5717 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A curated dataset of LeetCode coding questions organized by company (Google, Meta, Amazon, Uber, etc.) in CSV format, based on LeetCode company tags. Each company folder includes questions from the past 30, 60, and 90 days plus all-time lists.

Use cases

  • prepare for a coding interview at a specific company
  • find the most frequently asked LeetCode questions for Google or Amazon
  • practice recent interview questions from the last 30 or 90 days
  • export a company's question list as CSV for tracking progress
  • identify common question patterns across tech company interviews

When to choose

  • you are interviewing at a specific tech company and want its tagged question list
  • you want a static, regularly updated CSV dataset of company-wise LeetCode problems
  • you prefer offline or spreadsheet-based interview prep tracking

When to avoid

  • you need an interactive practice platform with code execution and judging
  • you want solutions or explanations rather than just problem lists
  • you need guaranteed up-to-date data, since updates depend on the maintainer

Facets

dataset · maturity active

data-science education developer-tools cross-platform leetcode interview-preparation csv coding-interview company-wise-problems

1 source

Member repositories

RepositoryRoleHealth v2
liquidslr/leetcode-company-wise-problemsmain65

For agents

markdown · JSON · MCP: product_card(name="liquidslr/leetcode-company-wise-problems")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem