# neerazz/FAANG

Competitive programming questions.

Repository: https://github.com/neerazz/FAANG
Canonical: https://ross.abutalabs.com/products/faang
Homepage: https://neerazz.github.io/
Language: Java
License Family: other
Topics: faang, job-preparation, amazon, netflix, apple, facebook, competitive-programming, algorithms-and-data-structures, algorithms, data-structures, system-design, algorithm, hackerrank, interview-preparation, leetcode, maang, coding-interviews, interview-practice, leetcode-solutions
Last push: 2026-07-27T04:19:22+00:00

## Health v2 (maintenance only)
Score: 65/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 94, release rhythm 8, longevity 100
- inputs: {"age_days": 2626, "days_push": 37, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1888, forks 488 (observed 2026-08-28T04:05:49.356567+00:00)

## What it is
A curated collection of well-commented Java solutions, explanations, and resources for coding interview preparation at top tech companies. It covers data structures, algorithms, system design, OOP design, and company-specific question lists.

## Use cases
- prepare for FAANG coding interviews
- practice leetcode problems with explanations
- learn data structures and algorithms patterns
- study system design for interviews
- find company-specific interview question lists
- review big O complexity cheat sheets
- practice hackerrank and coding interview problems

## When to choose
- you are preparing for software engineering interviews at large tech companies
- you want free, organized solutions with explanations in Java
- you need a structured roadmap covering DSA, system design, and OOP

## When to avoid
- you need solutions in a language other than Java
- you want an interactive practice platform with judge feedback rather than a reference repository
- you need officially licensed material - the repo has no license file

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools, documentation
- domain: education, developer-tools, tutorials
- platform: cross-platform
- tags: interview-preparation, leetcode, data-structures, algorithms, system-design, coding-interviews, faang, java, competitive-programming

## Member repositories
- neerazz/FAANG (main) score 65

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:49.356567+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 2026-08-30T03:13:30.565275+00:00, confidence not recorded.
  - readme: https://github.com/neerazz/FAANG (fetched 2026-08-28T04:05:49.356567+00:00, sha 34ef01245334)
  - homepage: https://neerazz.github.io/ (fetched 2026-08-29T10:52:21.624417+00:00, sha b3e9a311d743)
- Data as of 2026-08-30T08:39:29.467469+00:00.