# austingebauer/go-leetcode

A collection of 100+ popular LeetCode problems solved in Go.

Repository: https://github.com/austingebauer/go-leetcode
Canonical: https://ross.abutalabs.com/products/go-leetcode
Language: Go
License Family: other
Topics: leetcode, ctci
Last push: 2025-01-08T05:14:49+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2349, "days_push": 602, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1817, forks 244 (observed 2026-08-28T04:05:40.596199+00:00)

## What it is
A curated collection of 100+ popular LeetCode problems solved in Go, largely based on the Top 75 LeetCode Problems list. Each problem directory includes the problem description with a link, a Go solution, and unit tests intended for stepping through the algorithm in a debugger.

## Use cases
- leetcode problems solved in go
- prepare for coding interviews with go examples
- learn data structures and algorithms using go
- study the top 75 leetcode problems with solutions
- practice common technical interview questions in go
- step through algorithm solutions with a debugger

## When to choose
- You want to learn or review Go while working through popular LeetCode-style problems
- You want runnable solutions with unit tests you can extend to explore algorithms in a debugger
- You want a curated checklist (Top 75 / CTCI-style) to track your interview prep progress

## When to avoid
- You need a reusable algorithm library or package for a production Go project
- You need comprehensive test coverage or production-grade implementations
- You are looking for interview prep material in a language other than Go

## Facets
- artifact type: learning-resource
- maturity: stable
- function: developer-tools, testing
- domain: education, tutorials, developer-tools
- platform: go
- tags: leetcode, coding-interview, interview-preparation, data-structures, algorithms, ctci, practice-problems

## Member repositories
- austingebauer/go-leetcode (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:40.596199+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 2026-08-30T03:20:10.855025+00:00, confidence not recorded.
  - readme: https://github.com/austingebauer/go-leetcode (fetched 2026-08-28T04:05:40.596199+00:00, sha adf371eaad0e)
- Data as of 2026-08-30T08:39:29.467469+00:00.