Alternatives
Products that do what YeetCode does
Make LeetCode competitive and fun
- 1IM
As you solve LeetCode questions, you can mark them as hard, medium, or easy. The tool will then recommend questions you should review based on (1) how hard the question was for you and (2) how much time has passed since you last reviewed it. I'd recommend normally attempting LeetCode problems and just marking them as hard, medium, or easy for you at first so the tool knows which problems to recommend you review! Here's the theory behind spaced repetition and learning if interested: https://www.codecademy.com/article/spaced-repetition
2024 · lanki.xyz
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- 3CA
I've long had a dislike for leetcode interviews on both sides of the coin. Project-based interviews can also be challenging because it can end up filtering out folks who don't want to spend several hours building something in their free time. I met up with a friend last year -- a very senior dev -- who had taken some time off to study leetcode exercises while preparing for FAANG interviews. It struck me that one of the key measures of whether a candidate is a fit for a team is rather synthetic. CodeRev.app is a simple, lightweight tool that helps teams evaluate candidates using code reviews.…
2024 · coderev.app
- 4LL
2025 · github.com
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- 6HI
I found that duplicating a specific block of 7 middle layers in Qwen2-72B, without modifying any weights, improved performance across all Open LLM Leaderboard benchmarks and took #1. As of 2026, the top 4 models on that leaderboard are still descendants. The weird finding: single-layer duplication does nothing. Too few layers, nothing. Too many, it gets worse. Only circuit-sized blocks of ~7 layers work. This suggests pretraining carves out discrete functional circuits in the layer stack that only work when preserved whole. The whole thing was developed on 2x RTX 4090s in my basement. I'm…
Mar 2026 · dnhkng.github.io
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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 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!
19d ago · github.com
- 9AI
I built AlgoDrill because I kept grinding LeetCode, thinking I knew the pattern, and then completely blanking when I had to implement it from scratch a few weeks later. AlgoDrill turns NeetCode 150 and more into pattern-based drills: you rebuild the solution line by line with active recall, get first principles editorials that explain why each step exists, and everything is tagged by patterns like sliding window, two pointers, and DP so you can hammer the ones you keep forgetting. The goal is simple: turn familiar patterns into code you can write quickly and confidently in a real interview.…
Dec 2025 · algodrill.io
- 10LL
Hey HN — we’re University of Waterloo grads, and we’re building LeetPro (https://tryleetpro.com). LeetPro is Leetcode but for soft skill-based questions and cases. In other words a platform designed to help you nail behavioral, product, and case-based interviews just like Leetcode does for technical interviews. We’re combining AI-driven mock interviews with community-driven content to create a comprehensive preparation tool for systems design, product, and business interviews. We came up with this idea just last week, and we've already launched an MVP that’s worth checking out if…
2024
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PickCode is designed for use on desktop and tablet, and supports creating chatbots, visual designs, and 2D games. There is plenty of functionality missing - you can't add media to games for instance, but the current version shows off the foundation of what I'm aiming at. I taught myself to code using MIT's App Inventor, so I have an enormous respect for block based languages like App Inventor, Scratch, Snap!, MakeCode, etc. PickCode is my attempt at adding options for students who want to learn more about programming without making the jump to text, or as an alternative to block coding for…
2022 · pickcode.io
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After the incredible response to our launch of the first online CUDA playground, we have just shipped something we think all you GPU programming and ML enthusiasts will love. Introducing LeetGPU Challenges--the place to compete on writing the fastest CUDA kernels. We have problems like matrix multiplication, agent simulation, multi-head self-attention, with more dropping every couple of days! We have a lot of really cool things coming up, including support for PyTorch, TensorFlow, JAX, TinyGrad; Multi-GPU programs; H100, V100, A100 GPU options Give it a try and let us know what you think!
2025 · leetgpu.com
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