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LiminalML runs every topic through the same six stages: intuition, the math step by step, runnable code, the questions an interviewer actually asks, and a retrieval drill so it sticks. Built on Claude. 157+ ML & SWE topics, with math, diagrams, and code rendered properly inline. Every session saves. Read the concept pages free. 20 free sessions/month.
Hey Product Hunt 👋
I'm Oliver, an ML engineer at a stealth startup. I built LiminalML for myself first.
The pattern I kept hitting was when I wanted to deeply understand things like transformers, MTL approaches for my research, or anything really when I was studying for interviews, I'd constantly have so many different resources that explained topics I liked cleanly, and I was tired of everything being in different places like Stanford Online lectures, my university notes from lectures, or just the research papers themselves. Overtime I figured out a structure that fit my way of learning really well that I wished every educational resource had. That's where I landed on the concept of six stages to learn any topic I wanted to really deeply, to the level of mastery. This helped me retain a lot of information for interviews, as in ML specifically people are expected to know everything from classical ML to CS fundamentals to post training technique to attention mechanisms and beyond, so for a new grad, it was a lot, especially while finishing up university courses.
So LiminalML puts every topic through the same six stages: the big-picture intuition, visualization, the math derived step by step, code you can actually run and edit, the questions an interviewer would push on, and a retrieval drill at the end to check it stuck. Math, diagrams, and code render inline, and every session saves so you can come back to a thread later. It's built on Claude under the hood.
It's for anyone going deep on ML or SWE. Interview prep is the sharpest use case as you can upload your resume for context across sessions and have star stories generated based off of it and that tailors the questions asked during the retrieval stage. I still use it often to rebuild fundamentals I've gotten rusty on. If you want to see the format before signing up, the concept pages are free to read with no account.
It's just me building this, and it's early, so I'd genuinely value feedback on where the explanations should go deeper, or where the six-stage structure gets in the way. Happy to get into how it's built, too.
The six-stage format actually helps me slow down on topics I usually skim past, especially the retrieval drill at the end. Wish the inline math rendered cleaner, but overall a solid way to revisit fundamentals without bouncing between tabs.
the six-stage structure is genuinely clever, especially the retrieval drill at the end. most study tools stop at explanations, but forcing yourself to recall right after learning is where concepts actually stick. solid execution on something that could have easily been shallow.
The way it bundles intuition, math, code, and interview questions for each topic is genuinely useful, and the retrieval drill at the end actually helps things stick instead of fading by morning.
About LiminalML on Product Hunt
“Six-stage study sessions for mastering ML & SWE”
LiminalML was submitted on Product Hunt and earned 5 upvotes and 7 comments, placing #131 on the daily leaderboard. LiminalML runs every topic through the same six stages: intuition, the math step by step, runnable code, the questions an interviewer actually asks, and a retrieval drill so it sticks. Built on Claude. 157+ ML & SWE topics, with math, diagrams, and code rendered properly inline. Every session saves. Read the concept pages free. 20 free sessions/month.
LiminalML was featured in Education (78.8k followers), Developer Tools (515.4k followers) and Artificial Intelligence (473.1k followers) on Product Hunt. Together, these topics include over 210.5k products, making this a competitive space to launch in.
Who hunted LiminalML?
LiminalML was hunted by Oliver Perrin. 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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Oliver Perrin