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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#
👋 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🍻
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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#
JoinAI was featured in Education (79.1k followers), Artificial Intelligence (477.4k followers) and Tech (631.3k followers) on Product Hunt. Together, these topics include over 318.7k products, making this a competitive space to launch in.
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.
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Dan Lee