# hxu296/leetcode-company-wise-problems-2022

Lists of company wise questions available on leetcode premium. 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 May, 2022.

Repository: https://github.com/hxu296/leetcode-company-wise-problems-2022
Canonical: https://ross.abutalabs.com/products/leetcode-company-wise-problems-2022
Language: Jupyter Notebook
License: MIT
License Family: permissive
Topics: google-interview, interview, leetcode, amazon-interview, facebook-interview, microsoft-interview, leetcode-company-questions
Last push: 2024-07-16T19:08:18+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1577, "days_push": 778, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 11334, forks 2343 (observed 2026-08-28T04:10:46.766374+00:00)

## What it is
A collection of CSV files listing Leetcode questions grouped by company, replicating the company-tagged lists normally behind Leetcode premium, as of May 2022. It covers over 100 companies including Google, Amazon, Meta, and Microsoft.

## Use cases
- prepare for a coding interview at a specific company
- find which leetcode questions a company asks
- avoid paying for leetcode premium company tags
- practice the most common interview questions for Google or Amazon
- build a study plan from company-specific problem lists
- download leetcode company question lists as csv

## When to choose
- you want free access to company-wise Leetcode question lists
- you need the data in CSV format for your own tooling or analysis
- you are targeting one of the many covered companies like Bloomberg, Goldman Sachs, or Netflix

## When to avoid
- you need up-to-date lists reflecting current Leetcode company tags (data is from May 2022)
- you want solutions or explanations rather than question lists
- you need interactive practice features rather than static data

## Facets
- artifact type: dataset
- maturity: maintenance
- function: csv, data-science
- domain: education, developer-tools, spreadsheets
- platform: cross-platform
- tags: leetcode, interview-preparation, coding-interview, company-wise-questions, csv-dataset, job-hunting

## Member repositories
- hxu296/leetcode-company-wise-problems-2022 (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:46.766374+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:15:56.774928+00:00, confidence not recorded.
  - readme: https://github.com/hxu296/leetcode-company-wise-problems-2022 (fetched 2026-08-28T04:10:46.766374+00:00, sha a1dc18b4c865)
- Data as of 2026-08-30T08:39:29.467469+00:00.