Parse.ly Blog

blog.parsely.com · Company blog · on HN since 2012

Parse.ly's engineering and company blog covers its real-time analytics stack, including Lucene, Cassandra, Kafka and Python, plus media data analysis.

What HN saysThe only comment given is a Parse.ly job post for a remote software engineer on its real-time analytics dashboard, so HN mostly links it for hiring.
20HN people shared it
1linked it in comments
92stories submitted
856story points
10 years agolast shared
2012people per year2026

Most-shared posts

  1. 1
    Lucene: The Good Parts
    2 people · 265 points · first shared 2015 · 16 comments on HN
  2. 2
  3. 3
    PyKafka: Fast, Pythonic Kafka, at Last
    2 people · 11 points · first shared 2016 · discussion on HN
  4. 4
  5. 5
    Newspapers are the New Startups
    2 people · 5 points · first shared 2012 · discussion on HN
  6. 6
    Whatever It Takes
    2 people · 1 points · first shared 2014 · discussion on HN
  7. 7
    Whatever It Takes: Visualizations in E-mail with d3.js
    1 people · 116 points · first shared 2012 · 52 comments on HN
  8. 8
    Media's Obsession with Trump Not Supported by Data
    1 people · 32 points · first shared 2016 · 27 comments on HN
  9. 9
    Learning is Not A Race
    1 people · 19 points · first shared 2013 · 1 comments on HN
  10. 10
    Accepting Applications For Better Mobile News
    1 people · 19 points · first shared 2012 · 19 comments on HN
  11. 11
    Applying Programming Concepts to Everyday Life
    1 people · 13 points · first shared 2013 · 1 comments on HN
  12. 12
    Inducement and Goals for Publishers
    1 people · 10 points · first shared 2012 · discussion on HN
  13. 13
  14. 14
    Analyzing Hurricane Sandy's Effect on Politicians
    1 people · 8 points · first shared 2012 · discussion on HN
  15. 15
    Ars Technica and the Dash API
    1 people · 8 points · first shared 2012 · discussion on HN

What HN people wrote when they linked it

pixelmonkey · 2016-03-01
Parse.ly - http://parse.ly - Fully Remote - Full-Time We are hiring a software engineer to work on our real-time analytics dashboard. Pythonistas and JavaScript hackers especially desired. On the company: We've built a real-time content measurement layer for the entire web. Our analytics platform helps digital storytellers at some of the web's best sites, such as Arstechnica, New Yorker, Mashable, The Next Web, and many more. In total, our analytics backend system needs to handle over 50 billion monthly events from over 475 million monthly unique visitors. Our entire stack is in Python and JavaScript, and our team has innovated in areas related to real-time analytics, building some of the best open source tools for working with modern stream processing technologies. Our UX/design team has also built one of the best-looking dashboards on the planet, using AngularJS and d3.js. You can see some screenshots: http://parse.ly/tour Our distributed team is best-in-class and we happily skip commutes by working out of our ergonomic home offices. Here's a photograph of mine running two full-screen Parse.ly dashboards on my monitors: https://flic.kr/p/v1NZ73 We are currently looking for software engineers to help us build the best real-time analytics dashboard the world has ever seen. The only requirement is some experience in Python/JavaScript. Bonus points for an interest in information visualization, Edward Tufte, and d3.js. To see an example of how we work, check out the blog…

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