Alternatives
Products that do what Chapter-level summaries of bestselling books using LLMs does
Most book summaries on the internet are not detailed enough. In this project, I've tried to create detailed chapter-level summaries that retain a greater level of detail and vocabulary of the original. The aspiration is for these summaries to be a credible alternative to reading the books themselves. Website hosted on Vercel: https://book-summary-pro.vercel.app/ The code behind the project on GitHub: https://github.com/cosmic-glitch/book-summarizer Request additional books:…
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I think LLMs are overused to summarise and underused to help us read deeper. I built a system for Claude Code to browse 100 non-fiction books and find interesting connections between them. I started out with a pipeline in stages, chaining together LLM calls to build up a context of the library. I was mainly getting back the insight that I was baking into the prompts, and the results weren't particularly surprising. On a whim, I gave CC access to my debug CLI tools and found that it wiped the floor with that approach. It gave actually interesting results and required very little orchestration…
Jan 2026 · trails.pieterma.es
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Hi HN, We've just published a lot of original, visual, and intuitive explanations of concepts to introduce people to large language models. It's available for free with no sign-up needed and it includes text articles, some video explanations, and code examples/notebooks as well. And we're available to answer your questions in a dedicated Discord channel. You can find it here: https://llm.university/ Having written https://jalammar.github.io/illustrated-transformer/, I've been thinking about these topics and how best to communicate them for half a…
2023
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Hi HN! My latest side project is knowledge graph that maps the French culinary network using data extracted from restaurant reviews from LeFooding.com. The project uses LLMs to extract structured information from unstructured text. Some technical aspects you may be interested in: - Used structured generation to reliably parse unstructured text into a consistent schema - Tested multiple models (Mistral-7B-v0.3, Llama3.2-3B, gpt4o-mini) for information extraction - Created an interactive visualization using gephi-lite and Retina (WebGL) - Built (with Claude) a simple Flask web app to clean and…
2025 · theophilecantelob.re
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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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Let's try a small experiment with LLMs that have a large context length: feed an entire book into the context window and ask it to generate a list of characters, their relationships, and physical descriptions—data that can later be used for image generation. In this repository, you can find two tools: a script that extracts data from book text using an LLM (Gemini or OpenRouter API) and an HTML/JS (D3) visualization of the character graph. An external text-to-image model can be used to generate character illustrations (a Google Colab example is provided). Explore the visualizations,…
2025 · github.com
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2021 · vellum.tachy.org
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Hey everyone! I know that a lot of people want to make more time for reading in their lives, but don't always have the time to do so. So I've created Summrize, an online platform for reading FREE non-fiction book summaries. For each book, I've condensed the most important concepts, quotes, actionable insights, frameworks and case studies, and presented them in a beautiful format. You can save the snippets that resonate the most with you, and share them on other platforms too! We know there exist other similar platforms (Blinkist, Shortform), but my goal with Summrize is to make access to the…
2024 · summrize.com
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Hey HN! I built a little side project I wanted to share. Shelvy is a free, visual bookshelf app where you can organize books you're reading, want to read, or have finished. Sign in to save your own collection. Not monetized, no ads, no tracking beyond basic auth. Just a fun weekend project that grew a bit. Live: https://shelvybooks.com Would love any feedback on the UX or feature ideas!
Jan 2026 · shelvybooks.com
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2017 · booknshelf.com
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Hi, i've built this for myself, to be able to read more, in less time. It's a 40-60% reduction rewrite, not a summary. My aim was quality. Here's an example with Walden with a 53% reduction: https://file.io/tA5jmkFgCz9d
2024
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I like reading old books, but I often struggle with them because of the archaic language they use. I thought that LLMs might be a way to improve this, so I started working on AItheneum. It's a library of classic philosophy books enhanced with LLMs. So far it has three features: - Reading level: It displays the original text alongside two simplified versions ("medium" and "easy" levels). - Explain: Highlight a section of the text, and you can ask it to explain that extract for you. - Search: Search for specific themes within the book (e.g., "religion," "purpose of life") and get relevant…
2024 · aitheneum.iwanalabs.com
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There are two parts for this project: 1) The LLM-powered pipeline to extract citations (books + authors) from books and resolve them using both Wikipedia and Goodreads with offline copies I have. The result is data associating Books/Authors to other Books/Authors with accurate bibliographical information spanning centuries. 2) A WebGPU + D3.js powered visualization tool written by Claude Code so I'm able to deal with all this data on the browser on a more or less comfortable experience for the viewer. I spent some months on a off with this project, and definitely the most…
Feb 2026 · thiagolira.github.io
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Built an auditable AI (Bible) translation pipeline: Hebrew/Greek source packets -> verse JSON with notes rolling up to chapters, books, and testaments. Final texts compiled with metrics (TTR, n-grams). This is the first full-text example as far as I know (Gen Z bible doesn't count). There are hallucinations and issues, but the overall quality surprised me. LLMs have a lot of promise translating and rendering 'accessible' more ancient texts. The technology has a lot of benefit for the faithful, that I think is only beginning to be explored.
Jan 2026 · biblexica.com
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2024 · sobrief.com
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A neat (in my opinion) little side-project I've been working on, both to get somewhat basic React skills going, and to work with LLMs on even more cool projects to build. It should work for most major languages and output English summaries (or French summaries, if using the main https://enfinbref.io page instead of the /en/ subpage), no matter the input language. Currently planning on expanding in various directions, including some nice new features like choosing a summary type, better video type identification and LLM routing, and bullet points exec summaries. Pretty…
2023 · enfinbref.io
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