Alternatives
Products that do what LeetCode Learn does
Master algorithms. Interactive, offline, & gamified.
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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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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
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2025 · github.com
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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
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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
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AI mentor that tells you exactly what to solve next
Jun 2026 · leetcodecoach.vercel.app
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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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