Hacker News Data

This dataset contains all stories and comments from Hacker News from its launch in 2006. Each story contains a story ID, the author that made the post, when it was written, and the number of points the story received.

You can start exploring this data in the BigQuery console:

Go to the Hacker News Dataset

Exploring the data using Looker

Looker provides tools to quickly analyze and find insights in your BigQuery datasets. Below are some example visualizations of Hacker News Data in BigQuery, built using Looker.

How are Hacker News story points distributed?

If you use the score as a dimension (group by score, in SQL) and count the number of posts with each score, you can get an idea about how likely a story is to get a given score.

Explore HN - How are the Scores Distributed? using Looker

Where do the stories live?

By parsing out the host from the URL you can see where Hacker News stories originate.

Explore HN - Domains are Better using Looker

Who is the star of Hacker News?

Making the front page of Hacker News is not easy. Let's see if we can figure out which authors consistently get on the front page. Assuming a score of 7 is a good threshold for popularity, we’ll sort on count of stories that scored over 7 to find the person with the most posts that scored well.

Explore HN - Who is the Star of Hacker News? using Looker

About the data

Dataset Source: Hacker News

Category: Media, Social

Use: This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source — https://github.com/HackerNews/API — and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

View in BigQuery: Go to the Hacker News dataset

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