Mimir
What would reading look like if it were designed around how people actually learn? I got tired of all the AI study tools that actually just take the cognitive work of studying or reading away from you, instead of building up your own brain. Reading today is also just not the best experience as you forget so much of what you read. I built Mimir, (readmimir.com), an interactive immersive reader that let's you upload any book/text, read in immersive reading with TTS, active recall, in-margin notes, ask-ai tutor, and automatically creates spaced repetition notes from your notes and answers.…
Mimir launched on January 21, 2026 with 7 votes, #1,609 of 14,584 launches that month and more than 90% of that year's launches.
What it does
Mimir is a reading platform optimized around the science of leaning. If you read papers, textbooks or non-fiction books and care about being able to use and recall that knowledge in 5+ years, your reading workflow needs to include recall, active thinking and review - which is how we designed Mimir. Mimir can read any text, pdf,epub or doc, take beautiful in-margin notes that connect visually with tags, ask our AI-socratic tutor question, do fun recall checks + automatic spaced repetition.
A modern-scholar reading companion with immersive features for deep learning and retention.
In the maker’s words, at launch
What would reading look like if it were designed around how people actually learn? I got tired of all the AI study tools that actually just take the cognitive work of studying or reading away from you, instead of building up your own brain. Reading today is also just not the best experience as you forget so much of…
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Mimir - Cursor for Product managersFeb 2026 · mimir.build · ▲6I'm a PM who got tired of the same cycle: do a bunch of customer interviews, dump them in a doc, tell myself I'll synthesize them later, never do. So I built Mimir as a fun side project for myself and my day job. You paste in your raw feedback — interviews, support tickets, survey responses, whatever... and it pulls out themes, ranks them, and tells you what to build next. Every recommendation links back to the actual quotes so you're not just trusting a black box. There's a real pipeline underneath that does extraction, clustering, synthesis across sources. You can chat with your data, push…
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