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Products that do what See what readers who loved your favorite book/author also loved to read does
Hi HN, Every year, we ask thousands of readers (and authors) to share their 3 favorite reads of the year. Now you can enter a book/author you love and see what books readers loved who also loved that book/author. Try it here: https://shepherd.com/bboy/2025 This goes wide and doesn't try to limit itself to the genre, so you get some interesting results. What do you think? Background: I want better recommendations based on my reading history. I'm incredibly frustrated with what is out there. This system is based on 5,000 readers voting on their 3 favorite reads…
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Hi all, creator here :) I launched Shepherd.com on a Show HN in April 2021 (https://news.ycombinator.com/item?id=26871660), and it has come a long way. My goal with Shepherd is to create an experience that feels like wandering your local bookstore, along with little notes from authors & experts sharing why each book is one of their all-time favorites. For 2023, I surveyed 1,200+ authors to get their three favorite reads of the year. Then I crunched that data and broke it by genre, age range, and when it was published. Publisher data is a nightmare, so some of the genres are…
2023 · shepherd.com
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Hi everyone, For the past couple months I've been working on a website with two main features: - https://book.sv - put in a list of books and get recommendations on what to read next from a model trained on over a billion reviews - https://book.sv/intersect - put in a list of books and find the users on Goodreads who have read them all (if you don't want to be included in these results, you can opt-out here: https://book.sv/remove-my-data) Technical info available here: https://book.sv/how-it-works Note 1: If you only provide one or two…
Nov 2025 · book.sv
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2020 · mapfilterfold.com
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Hi all, creator here :) - I launched Shepherd.com (https://shepherd.com/) 3 years ago on Hacker News and have added a ton since then! Here is the original Show HN (https://news.ycombinator.com/item?id=26871660). I’ve interviewed 10,000+ authors & experts to get their 5 favorite reads around different topics, themes, and moods. And I’ve connected those so that you follow your curiosity around topics, authors, books, and more. Try Art Kleiner’s favorite reads on understanding AI and its effect on people:…
2024
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Hello HN, I noticed that I often looked for new books, depending on my mood (e.g., if I'm feeling tired, I want to find books that'll help me fix that and improve my sleep). So, I created my 1st indie project, BooksByMood. BooksByMood will help you find your next read based on your mood w/ - Books averaging 4.09/5 on Goodreads - Each book comes with an explanation of why it's selected for your mood - 18 moods to explore I hope you'll enjoy using the website, Cheers!
2024 · booksbymood.com
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Hey HN! I love finding new books to read on here. I wanted to gather the most mentioned books and recreate the serendipity of physical browsing. I scraped 20k comments from HN threads related to reading, extracted the references and opinions using GPT-4o mini, and visualised their embeddings as a map. - OpenAI's embeddings were processed using UMAP and HDBSCAN. A direct 2D projection from the text embeddings didn't yield visually interesting results. Instead, HDBSCAN is first applied on a high-dimensional projection. Those clusters tend to correspond to different genres. The genre…
2024 · hnbooks.pieterma.es
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This is a Goodreads + Libby app integration which shows you the library availability for each of the books on your Goodreads want to read list. Basically, I got sick of manually looking up each book on my Want to Read list on the Libby app to see if it was available or how long the wait was. So I made this site which easily gathers all that info for me. At this point, I'm scraping Goodreads to figure out the "Want to Read" list. Libby provides a nice API though. Any feedback is appreciated!! I also have a substack that I'm going to use to post updates, so follow along there if you're…
2023 · projecttbr.com
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I spent a lot of time going through the recent thread: Ask HN: What's the "best" book you've ever read? (https://news.ycombinator.com/item?id=41756432) so I made this website to browse through it later and get the books I want from Amazon. It gets the comments using the HN API, uses the Open AI API to extract book names, and then the Amazon API to find the book on Amazon.
2024 · hnbestbooks.pages.dev
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2020 · findyour.blog
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The previous submission [1] didn't catch on, so re-trying with a less substantive title! [1] https://news.ycombinator.com/item?id=41680056
2024 · authorlens.com
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After reading this Ask HN post [1] (and buying too many books), I found myself going through old posts about book recommendations. I wanted to find all books recommended in those posts and save the top ones for future book shopping sprees. This has been done before [2, 3], but I wanted to get books that were recommended, not just mentioned. I used the Algolia API [4] to get all Ask HN posts about books, reviewed them and filtered out ones that were too specific e.g best books to learn math. The comments were then sent to the Open AI API [5] to extract books that are recommended. I then…
2024 · hackernewsbookrecommendations.com
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2017 · booknshelf.com
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