The website features only stories with a score greater than 100 but I don't think that is the problem.
Unlike HN Algolia, it doesn't match words; it uses embeddings so stories are matched by their similar meaning rather than similar words.
To find it, you might try to be more specific, such as "Paul Graham Y Combinator <facts of the article>".
I'm sorry HN Recommend doesn't match your use case
The data is a few weeks old. Do you know when the URL was published?
It's 10 years old.
This search query https://hn-recommend.julienc.me/?q=paul%20graham returns articles that are missing both words of the query
The website features only stories with a score greater than 100 but I don't think that is the problem.
Unlike HN Algolia, it doesn't match words; it uses embeddings so stories are matched by their similar meaning rather than similar words. To find it, you might try to be more specific, such as "Paul Graham Y Combinator <facts of the article>". I'm sorry HN Recommend doesn't match your use case