
ClickBook — Offline AI Reader
Tap any word in books and understand it instantly offline.
What it does
ClickBook is a free Android e-reader for language learners. Import EPUBs or readable PDFs, tap any word, and get a context-aware explanation powered by on-device AI. After setup, it works offline and keeps reading private.
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- AOAn open-source e-book reader for conversational reading with an LLM2025 · github.com · ▲86
Hi HN! I've been working on BookWith, an open-source e-book reader that integrates AI as your reading companion. The problem: Traditional e-readers are passive. When you encounter something unclear, you have to context-switch to search for it. Your highlights and notes remain isolated, and you can't easily connect ideas across different books. My solution: BookWith embeds an AI that maintains full context of what you're reading. It features: - Context-aware AI chat: Ask questions about the current page/chapter and get instant answers - AI podcast generation: Automatically converts book…
- 0A02Books – An open source web app to teach kids to read2020 · ▲63
I wanted to share a project that I've been working on designed to help young kids go from reading single words to reading whole books. My husband and I started spending a lot of time teaching our 5-year-old (Alex) to read because our school district is exclusively doing remote learning and I was skeptical that he could learn to read over Zoom. We used flashcards (which Alex found boring) and then combined them into sentences (which Alex found interesting). But the sentence approach requires a lot of arranging pieces of paper and remembering which words you are working on. So I developed…

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Parallel agents, diff reviewer, and multi-model comparisons
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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…
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