← Back to context

Comment by julien040

2 years ago

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