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austingebauer/go-leetcode resource

A collection of 100+ popular LeetCode problems solved in Go. observed · 2026-08-28

github.com/austingebauer/go-leetcode · Go observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2349
  • days_rel: n/a
  • days_push: 602
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1817 stars · 244 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

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

learning-resource · maturity stable

developer-tools testing education tutorials developer-tools go leetcode coding-interview interview-preparation data-structures algorithms ctci practice-problems

1 source

Member repositories

RepositoryRoleHealth v2
austingebauer/go-leetcodemain32

For agents

markdown · JSON · MCP: product_card(name="austingebauer/go-leetcode")

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