Alternatives
Products that do what EmberReads does
Find romance books by trope, spice, and content warnings
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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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- 3IM
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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2021 · hacker-recommended-books.vercel.app
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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
- 7SW
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…
Dec 2025 · shepherd.com
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Hey HN, I know reading books isn’t everyone’s thing, but it’s certainly been mine for as long as I can remember. Unfortunately, I felt like the online book space was missing a platform that does the book community justice. Goodreads is the go-to "social platform", but if you've been on Goodreads before, you'll probably agree that it's not all that social, and overall not all that exciting. So I set out to build what I personally was looking for (but could never find). The goal: to give the book community a more social and streamlined alternative to Goodreads or StoryGraph. We also felt like…
2022 · booqsi.com
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Earlier this year, I made a web reader that only showed a list of post titles, author domains, and links. The reader only updated once per day, so I wouldn't feel compelled to keep checking for new posts. I have been using the tool, which I called Artemis, for several months. Every morning, I looked forward to my "morning paper" of blogs I love reading. There are no notifications, read vs. unread states, counts of posts, etc. Only the last seven days of posts are available. The colour scheme is changeable. Dark mode is supported. All popular feed formats are supported. There is no reading…
2024 · artemis.jamesg.blog
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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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- 17SL
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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- 21EL
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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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…
2025 · github.com
- 24IM
After a few weeks of programming a few minutes at the time, next to my full time job, I created this tool that helps you pick your next book from your long(er) want-to-read list. In essence, it is a table with filters and column sorters. My problem was that the Goodreads website does not allow you to filter multiple columns at a time. That is why I created an alternative way to go through your books. Unfortunately, Goodreads no longer shares API keys, so it relies on its export functionality for a csv file. Not all the required information for your book search is present in this CSV file. To…
2025 · nextread.info
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