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Show HN: Shepherd 3.0 – Like wandering the aisles of your favorite bookstore

Apr 19, 2024 - news.ycombinator.com
Ben, the creator of Shepherd.com, launched the website three years ago and has since interviewed over 10,000 authors and experts to compile their top five reads on various topics, themes, and moods. The site allows users to explore different topics, authors, books, and more, based on their curiosity. Users can also explore specific recommendations, such as Art Kleiner's favorite reads on understanding AI, S. B. Divya's favorite realistic near-future science fiction, and Azby Brown's favorite books on Japanese carpentry and construction.

Shepherd.com is a bootstrapped project with many reader features coming soon. Ben also runs a newsletter about the project and offers early access to new features. The website is built using Python, Django, Heroku, Postgre, Cloudflare, NLP/ML for Wikipedia topic IDs via Wikifier, Nielsen’s book API database, and Cloudinary. Ben welcomes ideas and suggestions at ben@shepherd.com.

Key takeaways:

  • Shepherd.com is a platform launched 3 years ago that connects readers with authors and experts' favorite reads on various topics, themes, and moods.
  • The platform allows users to explore different topics and genres by clicking on "What is this book about?" under each book.
  • Shepherd.com is bootstrapped and the creator, Ben, is working on adding more reader features. He also runs a newsletter about the project and early access to new features.
  • The platform is built using Python, Django, Heroku, Postgre, Cloudflare, NLP/ML for Wikipedia topic IDs via Wikifier, Nielsen’s book API database, and Cloudinary.
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