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JoinAI
LeetCode for ML/AI Coding Problems
A realtime coding practice engine for AI Engineers. Code 250 problems in AI/ML concepts: attention, KNN, embeddings, RL, transformers. Illustrated with Brilliant-style interactive visuals. Run code across 8 languages/libraries: Python, NumPy, PyTorch, C++, Java, R, C, C#
Top comment
👋 Hey fellow Product Hunters, I'm Dan from JoinAI. I've spent the past several years teaching data and ML/AI concepts. And I've found the best way to learn a difficult concept in ML/AI is to code it from scratch. That’s how I learned algos like: linear Regression, KNN, Neural Networks, LSTM, transformers, embeddings. LeetCode was missing a practice engine for such problems. So, I built JoinAI coding. Here's what it offers: 1/ Realtime practice engine with 250 coding problems with interactive illustrations. 2/ Write and execute against test cases, see exact what failed 3/ A public leaderboard you can compete against fellow AI coders 4/ Track progression: Streaks, a contribution heatmap 5/ Supports 8 languages: 8 languages and libraries: Python, NumPy, PyTorch, C++, Java, R, C, C# I’d love to get your feedback, and hope the product helps with your own learning in AI/ML. Feel free to reach out: [email protected] Happy coding🍻
About JoinAI on Product Hunt
“LeetCode for ML/AI Coding Problems”
JoinAI was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #158 on the daily leaderboard. A realtime coding practice engine for AI Engineers. Code 250 problems in AI/ML concepts: attention, KNN, embeddings, RL, transformers. Illustrated with Brilliant-style interactive visuals. Run code across 8 languages/libraries: Python, NumPy, PyTorch, C++, Java, R, C, C#
On the analytics side, JoinAI competes within Education, Artificial Intelligence and Tech — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how JoinAI performed against the three products that launched closest to it on the same day.
Who hunted JoinAI?
JoinAI was hunted by Dan Lee. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of JoinAI including community comment highlights and product details, visit the product overview.