As someone always on the lookout for insightful content, I found it challenging to identify users whose posts consistently make an impact. To tackle this, I implemented an h-index calculator using HackerNews scores, available at alexmolas.com/hn-index.

For those unfamiliar, the h-index is a metric from the world of academia, used to measure the impact of publications. Applied here, it scores HN users based on the maximum value of h, representing the number of posts that have each garnered at least h upvotes. The motivation was simple: a higher h-index might indicate consistently valuable contributions. Utilizing the HN API, I fetched user and item data to compute this index. Check out the implementation details and usage instructions in the companion post.