So that others can play with the data, here's a reverse engineering of the BigQuery OP used to create the leaderboard:

   #standardSQL
   SELECT
     domain,
     COUNT(*) AS num_posts,
     perc_75,
     AVG(score) AS avg_score,
     (AVG(score) + 2*perc_75) * LOG(COUNT(*)) AS calc_score
   FROM (
     SELECT
       REGEXP_REPLACE(NET.HOST(url), 'www.', '') AS domain,
       score,
       PERCENTILE_CONT(score,
         0.75) OVER (PARTITION BY REGEXP_REPLACE(NET.HOST(url), 'www.', '')) AS perc_75
     FROM
       `bigquery-public-data.hacker_news.full`
     WHERE
       type = 'story'
       AND url IS NOT NULL )
   GROUP BY
     domain,
     perc_75
   ORDER BY
     calc_score DESC

Top 10000 results: https://docs.google.com/spreadsheets/d/1Z9atmizTAPkgFiBte2eQ...

(it's apparently not a perfect match since there appears to be a minimum # of posts requirement for domains [e.g. without that requirement, https://news.ycombinator.com/from?site=pardonsnowden.org is #3], which should be added to the description of the leaderboard)