Hi!
I’m Julien and I built a recommendation engine for Hacker News.
I feel like this website is a gold mine. Every day, I find some very interesting stories about a topic. And sometimes, I want to find other stories covering that same topic but I can’t.
Hacker News has years of history of awesome discussion and ressources. Unfortunately, I think HN Algolia isn’t helpful in searching these old threads. As a student, I want to learn a lot from this website.
This is why I created HN Recommend. Input a sentence or the URL of an article, and get the most popular and similar posts from Hacker News.
About the technical details, I've computed the embeddings of over 100,000 articles from HN and indexed it using Faiss. I made a blog post for a deeper explanation.
Source code: https://github.com/julien040/hn-recommendation-api
Article: https://julienc.me/articles/Extract_embeddings_Hacker_News_a...
Project: https://hn-recommend.julienc.me