Mimir - Well of Knowledge
Feed your mind, not just your feed.
Mimir - Well of Knowledge launched on May 9, 2026.
What it does
Mimir is a daily knowledge app that turns Wikipedia's huge library into a personalized reading feed. Choose from a growing number of topics — from Quantum Physics to Video Games, Ancient Civilizations to Conspiracy Theories — and get one fresh article per topic, every single day. no AI slop. Swipe through your feed like TikTok, save articles for later, rate what you read, and build a daily reading streak that keeps you coming back. I recently learned this exists, but it was already done so.
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MimirJan 2026 · readmimir.com · ▲7What 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.…
- AEAn endless feed with history, science, tech., business2025 · reelly.app · ▲13
Right now it's a Nicotine patch for brain rot/doom scrolling. You still get the scroll, but with more meaningful content. WHERE I WANT IT TO GO: Users mark what they are interested in (e.g. AI, or Space or Whatever), and it should crawl the latest scientific articles, high quality YouTube videos, pods, present it in a format that fits you, in a nice feed. NOW: You can search for anything (e.g. "Sea Explorers" --> The app crawls Wikipedia or YouTube and pulls together a short feed (e.g. Columbus, Vasco da Gama etc.,). I'm using RAG so that I always can reference the original data source…
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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Source: Product Hunt launch ↗
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Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
Dev tools · May 2026 · github.com