Gnoseed - Learn AI, K8s & DevOps with free curated flashcards

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You read the docs, pass the tutorial… and forget it in a week. Gnoseed fixes that: 3,000+ practical flashcards & quizzes across 38 decks — Kubernetes, AI/LLMs, DevOps, Security and many more. It applies spaced repetition algorithms (SM-2 or FSRS), so each card returns right before you'd forget it. Guided paths prepare you for popular certifications like CKA, AWS & Terraform Associate. Completely free, zero sign-up — and every card you master grows your skill from seed to bloom.

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Hi Hunters! 👋 Even in the era of AI which knowns (almost) everything, I still like to understand the tech stack I use every day. That's why I started Gnoseed.com, originally a weekend project, to train myself in Kubernetes. It quickly evolved into a library of modern tech topics - Kubernetes, AI/LLM, DevOps, Security, HTTP and many more, everything based on open documentation and freely available papers. I soon realized that random card questions aren't enough, so I implemented two popular spaced repetition algorithms SM-2 and FSRS so the app decides when you should see a card again, right before you'd forget it. A few things: - 3,000+ questions across 38 decks - No sign-up, no credit card, just open it and start learning - Guided paths, curated topic bundles to help you focus on a career path or cert preparation - And a little joy, every card you master grows a plant in your knowledge garden 🌱 I ship new decks regularly and I'd love your feedback, especially which topic you'd find useful next. Ask me anything! Tomas

How do you keep the cards accurate when the tech itself moves so fast, like new Kubernetes APIs or LLM frameworks popping up every few months?

Hi , as I replied at the other comment, for standard technologies with release notes, I have a weekly scheduled Claude routine to monitor release notes and propagate new stuff. For the fast changing topics like AI & LLM, I'm curating it myself by monitoring news.

How do you keep the flashcards accurate and current, especially for fast-moving areas like AI/LLMs where best practices can shift every few months?

Hi  for the standard technologies like Kubernetes, Golang, Docker, Terraform and few others I created a weekly Claude routine to check release notes and propagate new items to include at the learning topics. This process is almost automated. At the more abstract and fast changing topics like AI & LLMs, I try to follow the current news and include information by curating it.