HN Insights


About Hacker News Insights

A Ramen Club Studio Ramen project.

Initially Inspired by NYT First Said, we started looking at Hacker News Submission and Comment text to try and find first words, and then breakout trending words.

As you might imagine, many media publications - such as the NYT - have some editorial standards that correct common misspellings and are aimed at a broad audience. Hacker News is all user generated, so typos and technical terms are rife, which presents a challenge in filtering the signals out of the noise.

Whilst we still track new/breakout words and terms, initial feedback was that a "Reddit like" UI over the top of Hacker News data could be a helpful project.