Hi all,
I launched Shepherd.com 3 years ago on Hacker News and Indie Hackers, and I have added a ton since then!
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: https://shepherd.com/best-books/understanding-ai-and-its-effect-on-people
Under each book, you can click “What is this book about?” to explore different topics and genres that interest you. I am working on adding themes and other cool connections.
Or try the other sections:
Places to explore if you like the book Sapiens: https://shepherd.com/search/book/1504
S. B. Divya on her favorite realistic near-future science fiction: https://shepherd.com/best-books/realistic-near-future-science-fiction
Places to explore if you like hard sci-fi: https://shepherd.com/search/shelf/12622
Places to explore if you like Stephen King: https://shepherd.com/search/author/4826
Azby Brown’s favorite books on Japanese carpentry and construction:
https://shepherd.com/best-books/japanese-carpentry-and-construction
Malayna Evan’s favorite reads on badass women who left a mark on the ancient world: https://shepherd.com/best-books/badass-women-who-left-a-mark-on-the-ancient-world
Shepherd is bootstrapped and I’ve got a ton of readers features coming soon! I have a newsletter about building the project and early access to new features here: https://forauthors.shepherd.com/newsletter-for-readers
What do we use to build this?
Python / Django /
Heroku/ Postgres / Cloudflare
NLP/ML for Wikipedia topic IDs - https://wikifier.org/
Nielsen’s book API database (publisher data + Library of Congress data)
Cloudinary
My email is ben@shepherd.com if you want to share ideas or suggestions
Thanks, Ben
I launched Shepherd.com 3 years ago on Hacker News and Indie Hackers, and I have added a ton since then!
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: https://shepherd.com/best-books/understanding-ai-and-its-effect-on-people
Under each book, you can click “What is this book about?” to explore different topics and genres that interest you. I am working on adding themes and other cool connections.
Or try the other sections:
Places to explore if you like the book Sapiens: https://shepherd.com/search/book/1504
S. B. Divya on her favorite realistic near-future science fiction: https://shepherd.com/best-books/realistic-near-future-science-fiction
Places to explore if you like hard sci-fi: https://shepherd.com/search/shelf/12622
Places to explore if you like Stephen King: https://shepherd.com/search/author/4826
Azby Brown’s favorite books on Japanese carpentry and construction:
https://shepherd.com/best-books/japanese-carpentry-and-construction
Malayna Evan’s favorite reads on badass women who left a mark on the ancient world: https://shepherd.com/best-books/badass-women-who-left-a-mark-on-the-ancient-world
Shepherd is bootstrapped and I’ve got a ton of readers features coming soon! I have a newsletter about building the project and early access to new features here: https://forauthors.shepherd.com/newsletter-for-readers
What do we use to build this?
Python / Django /
Heroku/ Postgres / Cloudflare
NLP/ML for Wikipedia topic IDs - https://wikifier.org/
Nielsen’s book API database (publisher data + Library of Congress data)
Cloudinary
My email is ben@shepherd.com if you want to share ideas or suggestions
Thanks, Ben