Alternatives
Products that do what Kern does
Spaced repetition for the books you read
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2021 · zorbi.cards
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Hey HN, I am a student shipping apps in my free time. This is my 4th for the year! Non-fic books and podcasts have been part of my life for years now but I always struggled with remembering what I’ve read or listened to. I wanted it to stick even after years. My notes list grew large but I never really revisited them. That’s why I created GinkgoNotes. You can enter notes you want to recall and leave it to the app to create a personalised (based on spaced repetition) email schedule. That means you’ll get your notes emailed to you a couple of times exactly when you should read them again…
2024 · ginkgonotes.com
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2020 · idorecall.com
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2015 · gethibou.com
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Owl is built a spaced repetition app. We built it for ourselves mostly because we were unhappy with Anki from a UX perspective, and are now releasing it to everybody else. It is super tiny, but - we think - also pretty good. You can add your own decks manually, or generate them from a PDF (think academic papers, which is how I use that feature) or a prompt. There are no emails except study reminders (when there are cards to study). You can also use our "AI tutor" to review cards conversationally. Looking forward to your feedback!
2025 · owl.cards
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2021 · vellum.tachy.org
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When I read books, I don't remember much of the content. Now, I started to repeat books by generating flashcards. Any ideas how I can make it more useful?
2024 · bookflashcard.com
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A fast, rootless sandbox and virtual resource runtime for any workload, including untrusted and AI-generated code. Daemonless: a real, kernel-enforced container in ~3.5 ms from an OCI image, out of one static binary - getkern/kern
13d ago · github.com
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Hey HN! I'd love to get some people to mess around with a little side project I built to teach myself DSPy! I've been a big fan of reading fiction + webnovels for a while now, and have always been curious about two things: how can LLMs iteratively learn to write better based on reader feedback, and which LLMs are actually best at creative writing (research benchmarks are cool, but don't necessarily translate to real-world usage). That's exactly why I built narrator.sh! The platform takes in a user input for a novel idea, then generates serialized fiction chapter-by-chapter by using DSPy to…
2025 · narrator.sh
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2013 · papyruseditor.com
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Hi HN! During the last year, I've been building python.cards: a site to learn Python using spaced repetition. My goal is to make the most of spaced repetition by making it extremely simple to use and by providing high quality flash cards. The site has been live for a month, with a few daily users who had joined the waitlist. The feedback has been quite positive, with most of the users using the site every day. Currently, we have a free deck (A Tour of the Stdlib) and a paid one (Pathlib in depth, for $9.99). I have other decks in the works, covering topics such as f-strings, collections,…
2024 · python.cards
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I'm building out Kerns, as an AI environment for research. You can seed a space with a topic and multiple source documents, and complete your research completely in one space. There's interactive mindmaps for exploration, podcast mode, powerful source readers with original plus chapter level summaries that let you zoom into source on demand, a powerful chat agent that lets you control context and cite refs, and AI assisted note taking. My goal is to have one place to do research on any topic which minimizes manual context engineering, and jumping around between chat/notes/readers.…
Nov 2025 · kerns.ai
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Remember what you read. No AI, no server, no subscription.
12d ago · clear-read.com
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