Hacker News search: 6.5 million articles and comments at your fingertips

We are Hacker News readers and probably just like you, there is not a day that goes by we don’t use it. It is a little like checking the weather app of the tech world. Long story short, Hacker News is awesome, and we wanted to add our two cents to make it even greater to use.

Indeed, here is our problem: how do we instantly access the old posts we wish we had saved?

Powering a new Hacker News search engine

Up until now we’ve been using, maintained for years by the great folks at Octopart. I hope we speak on behalf of the HN community here, we are all grateful for the work they put in and they inspired us to pursue their effort.

Back in September 2013, we created a “homemade Hacker News crawler” and built a search engine with the data we could get. It was not perfect but somehow, it did the job fine.

Now part of the Ycombinator W14 batch, we have a direct access to the data and it has allowed us to provide instant search for the entire content of Hacker News, 1.2 million articles, 5.2 million comments as of today. See for yourself right here:

Here is how we did it

  • Hacker News API access

    • YC provides us a private API access to fetch batches of 1000 items (an item being a comment or a post). Every two minutes, we update our database with the latest 1000 items. Last 48,000 items are refreshed every hour to keep the number of votes and comments up to date.
# Yep, that's a Lisp API :)
EXPORT_REGEXP = %r{^((d+) (story|comment|poll|pollopt) "(.+)" (d+) (?:nil|"(.*)") (?:nil|"(.+)") (?:nil|"(.*)") (?:nil|-?(d+)) (?:nil|(([d ]+))) (?:nil|(d+)))$}
  • Thumbnails generation

    • We use wkhtmltoimage to render the URLs and generate the associated thumbnails. Playing with connection timeouts and JavaScript infinite loops was a pleasure:
(timeout 60 xvfb-run --auto-servernum --server-args="-screen 0, 1024x768x24" 
wkhtmltoimage-amd64 --height 768 --use-xserver--javascript-delay 30000 "$URL" "$FILE" || 
timeout 60 xvfb-run --auto-servernum --server-args="-screen 0, 1024x768x24" 
wkhtmltoimage-amd64 --height 768 --use-xserver --disable-javascript "$URL" "$FILE") && 
convert "$FILE" -resize '100!x100' "$FILE"
  • Thumbnails storage

    • Thumbnails are resized and stored on a S3 bucket."#{id}.png", open(temp_file), 'hnsearch', access: :public_read)
  • Thumbnails distribution

    • We configured a CloudFront instance targeting the S3 bucket to distribute thumbnails with low latency and high data transfer speed. We followed Amazon’s associated developer guide.
  • Indexing

    • We used the “algoliasearch-rails” gem and a standard (Ruby on Rails) MySQL-backed ActiveRecord setup. Indexing is performed automatically as soon as new items are added to the database, providing a near-realtime experience.
  • Configuration

class Item < ActiveRecord::Base
  include AlgoliaSearch

  algoliasearch per_environment: true do
    # the list of attributes sent to Algolia's API
    attribute :created_at, :title, :url, :author, :points, :story_text, :comment_text, :author, :num_comments, :story_id, :story_title, :story_url
    attribute :created_at_i do

    # The order of the attributes sets their respective importance.
    # `title` is more important than `{story,comment}_text`, `{story,comment}_text` more than `url`, `url` more than `author`
    # btw, do not take into account position to avoid first word match boost
    attributesToIndex ['unordered(title)', 'unordered(story_text)', 'unordered(comment_text)', 'unordered(url)', 'author', 'created_at_i']

    # add tags used for filtering
    tags do
      [item_type, "author_#{author}", "story_#{story_id}"]

    # Custom ranking allows to automatically sort the results by a custom criteria
    # in this case, a decreasing sort of the number of HN points and comments.
    customRanking ['desc(points)', 'desc(num_comments)']

    # controls the way results are sorted sorting on the following 4 criteria (one after another)
    # I removed the 'exact' match critera (improve 1-words query relevance, doesn't fit HNSearch needs)
    ranking ['typo', 'proximity', 'attribute', 'custom']

    # google+, $1.5M raises, C#: we love you
    separatorsToIndex '+#$'

  def story_text
    item_type_cd != Item.comment ? text : nil

  def story_title
    comment? && story ? story.title : nil

  def story_url
    comment? && story ? story.url : nil

  def comment_text
    comment? ? text : nil

  def comment?
    item_type_cd == Item.comment

  def num_comments
    item_type_cd == Item.story ? story_comments.count : nil
  • Search

    • Queries are sent directly to our API via the javascript client, the javascript code uses a public API-Key that can only perform queries.

Seeking feedback from the community

There is still room for improvement and we would love to know how you are searching for news on HN. What is important for you? Are you searching by date, by upvote, by comment or by user? All together maybe?

We would love to have your feedback! Don’t hesitate to checkout the code: We open-sourced it.

Special thanks to the Octopart and YC teams for making this experience possible!

Give it a try now:

About the authorSylvain Utard

Sylvain Utard

VP of Engineering

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