Alternatives
Products that do what Openleetcode – Local LeetCode runner where tests live in the repo does
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!
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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!
26d ago · github.com
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Jun 2026 · github.com
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Your personal practice database built directly into LeetCode
Jul 2026 · eleetcode.aksharbarot.com
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Jul 2026 · github.com
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Howdy friends! Tell me if this is an atrociously terrible idea - I've been working on building a leetcode for clientside devs so we can practice React and Javascript interview questions in a more concise way, I call it clientside.dev I just finished a beta version of it yesterday and plan on releasing it with many more problems on Jan 1st but it's there if you wanna play with it open to any ideas / feedback however mean or nice it may be :)
2022 · vacation-call-335691.framer.app
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2019 · github.com
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hi! I’m a 17 y/o dev and I made this so I could show my wpm in code rather than just normal text :) this was my first project that I made awhile back but wanted to share it today. I used React and got the LeetCode samples by webscraping a site that had all the solutions. you can read more about the site in the "about" page. here's the repo: https://github.com/max-lee-dev/hackertype https://twitter.com/maxleedev
2024 · hackertype.dev
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We originally set out to solve complex debugging headaches and useless alerts caused by traditional security scanners in our own projects. Static Analysis (SAST) flagged too much noise because it couldn't verify runtime context, while Dynamic Analysis (DAST) missed internal logic bugs because it treated the app like a black box. We built a CLI tool to bridge this gap using grey box testing from a red team approach. We use internal knowledge of the codebase to guide parallel execution, allowing us to find complex or hidden logic errors and attack paths standard linters/scanners miss. The…
Dec 2025 · bloodhoundsecurity.ca
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Hey everyone! For the past two weeks my friend and I have been heads-down building Cloi, a fully local debugging agent that runs right in your terminal. You probably know the drill—every AI coding tool asks for API keys, subscriptions, and uploads your entire codebase to the cloud. Cloi does none of that: it runs entirely on your machine, with no cloud, no API keys, no subscriptions, and zero data leaving your system. What Cloi does: - Contextual error capture: Grabs your stack trace, local files, and environment to understand the issue. - Local LLM inference: Spins up Ollama on your box and…
2025 · github.com
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Hey HN, Lich is a worktree aware local dev stack orchestrator. Simply put, it allows you to run multiple copies of your development stack from different worktrees with different code in parallel without going insane. I built Lich because I’ve found myself increasingly using multiple parallel coding agents for development work. I wanted my coding agents to each have independent copies of my development stack to be able to test and validate their own work well. I found that trying to do this totally broke the way I have normally setup tooling for local development. Ports conflict, the UI from…
Jun 2026 · github.com
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A while ago I started experimenting with compiling the Python interpreter to WASM. To build a secure, fast, and lightweight sandbox for code execution — ideal for running LLM-generated Python code.
2024 · github.com
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