nowfound

Dev tools · August 11, 2026

Openleetcode – local LeetCode runner where tests live in the repo

You write a standard solution, just like on LeetCode, and run it through the CLI. It identifies the problem by ID or title, executes your code against local test cases, and shows the result. It currently supports around 1000 problems and multiple languages, including Python, C++, Rust, Java, Go, TypeScript, Swift, and others. The project is still an MVP. System design, SQL, and concurrency problems are not supported yet, but support for more problem types is planned. Made in Haskell!

What it does

we have democratized the LeetCode tests. Contribute to therepanic/openleetcode development by creating an account on GitHub.

openleetcode is a local LeetCode runner built around open test suites, made in Haskell. It takes a normal solution file, finds the matching problem manifest, builds a tiny language-specific harness, sends it to a pluggable execution backend, and judges the result locally. The tests live in the repo. The runtime templates live in the repo. The CLI is just the glue. $ openleetcode submit ./solution.py --id 1 $ openleetcode submit ./solution.rs --title two-sum Demo You need Docker for the execution backend. On Linux and macOS the installer will try to start the default Piston backend for you through Docker Compose. On Windows, the installer only installs the CLI. Bring Docker yourself and…from github.com

Does the same job

all alternatives →
  • Openleetcode – Local LeetCode runner where tests live in the repo19d ago · github.com · ▲73

    You write a standard solution, just like on LeetCode, and run it through the CLI. It identifies the problem by ID or title, executes your code against local test cases, and shows the result. It currently supports around 1.4k problems and multiple languages, including Python, C++, Rust, Java, Go, TypeScript, Swift, and others. The project is still an MVP. System design, SQL, and concurrency problems are not supported yet, but support for more problem types is planned. Made in Haskell!

  • OL
  • Leetle2025 · ▲143

    LeetCode meets Wordle

  • OpenAI Codex CLI2025 · ▲192

    Frontier reasoning in the terminal

  • Runno2021 · ▲148

    Make embeddable code snippets that run in the browser

  • Open Interpreter2023 · ▲182

    Control your computer with natural language

More dev tools this month

the category →
  • Dograh592

    The open source VAPI alternative

    Dev tools · 25d ago · dograh.com

  • Meridian530

    Don't let your work go unnoticed. Get promoted!

    Dev tools · 20d ago · meridiona.com

  • x1516

    Lovable for iPhone apps go from idea to App Store

    Dev tools · 11d ago · x1.new

  • Open-source GTM skills for technical founders

    Dev tools · 29d ago · gtmcofounder.com

  • OpenTrailPaper is open-source bike computer firmware for the LilyGO T5S3 4.7" E-Paper PRO. It supports offline maps, GPX routes, FIT recording and Bluetooth sensors.

    Dev tools · 2d ago · opentrailpaper.com

  • Nuphos380

    The AI-Native DevOps Workspace.

    Dev tools · 24d ago · nuphos.ai

Launched alongside, August 2026

the whole month →
  • TL

    Life & fun · 10d ago · louisabraham.github.io

  • Hey Noah641

    A proactive AI executive assistant for founders

    AI · Aug 2026 · heynoah.io

  • Let agents source clips from terabytes of your local video

    Work · 18d ago · clipto.com

  • SA

    Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…

    Life & fun · Aug 2026 · toneyalexander.github.io

  • AdAnt AI608

    Claude for viral, high-converting social ads

    AI · Aug 2026 · adant.ai

  • I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.

    AI · 17d ago · simedw.com