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blog.factual.com

Company blog · blog.factual.comdataprogramming

blog.factual.com is the company blog at blog.factual.com, writing about data and programming. Since 2010, 23 different Hacker News readers have linked it 45 times, most often “Introducing Drake, a kind of ‘make for data’”. No feed was found, so read it on the site itself.

45mentions?
23HN people?
2010–2015first – last linked?
Links on Hacker News per year · peak 12 in 2012

Too few sampled comments (6) to say how often HN recommends it.?

Why HN links it

HN readers link Factual's blog for its post introducing Drake, a 'make for data' tool for data processing workflows. Comments mostly cite it as a related tool rather than discuss the writing.

Summarised by Claude from a sample of 6 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

Most-linked posts?

  1. Introducing Drake, a kind of ‘make for data’
    6 people · 6 mentions · first linked 2013-01-24
  2. Docker, Mesos, Marathon, and the End of Pets
    3 people · 3 mentions · first linked 2015-06-04

What Hacker News says?

  1. 'Drake' for that use was on here too, not too long ago. http://blog.factual.com/introducing-drake-a-kind-of-make-for...

    Comment linking /introducing-drake-a-kind-of-make-for-data

    on “Why Use Make”
  2. Submitted Introducing Drake, a kind of ‘make for data’ as a story · 197 points

    HN discussion
  3. Drake was just released, it's a make replacement specifically for data processing and seems to have some nice features. http://blog.factual.com/introducing-drake-a-kind-of-make-for...

    Comment linking /introducing-drake-a-kind-of-make-for-data

    on “Why Use Make”
  4. Submitted Clojure on Hadoop: A New Hope as a story · 128 points

    HN discussion
  5. Interesting... here is a tool, which is also going twoards data oriented approach. "Drake - a kind of make for data" http://blog.factual.com/introducing-drake-a-kind-of-make-for...

    Comment linking /introducing-drake-a-kind-of-make-for-data

    on “Q – A Data Language”
  6. Submitted Thinking in Clojure for Java Programmers as a story · 105 points

    HN discussion
  7. fla · 2014-03-29Recommends
    You might be interested in Drake, a kind of ‘make for data’. http://blog.factual.com/introducing-drake-a-kind-of-make-for...

    Comment linking /introducing-drake-a-kind-of-make-for-data

    on “Why Use Make? (2013)”
  8. Submitted Open-Source Clojure Library for Geospatial Information as a story · 82 points

    HN discussion
  9. Right on the same HN homepage: http://blog.factual.com/docker-mesos-marathon-and-the-end-of...

    Comment linking /docker-mesos-marathon-and-the-end-of-pets

    on “Ask HN: How do you version control your microservices?”
  10. Submitted Docker, Mesos, Marathon, and the End of Pets as a story · 64 points

    HN discussion
  11. Last month, the similar 'memoize' came up: https://github.com/kgaughan/memoize.py ( https://news.ycombinator.com/item?id=9356433 ) Also another entrant in the genre is 'Drake': http://blog.factual.com/introducing-drake-a-kind-of-make-for... ( https://news.ycombinator.com/item?id=5110921 )

    Comment linking /introducing-drake-a-kind-of-make-for-data

    on “Sake: like make, but with shell scripts”
  12. Submitted Principles for Applying Machine Learning Techniques as a story · 57 points

    HN discussion
  13. Submitted The Wisdom of Crowds: Using Ensembles for Machine Learning as a story · 56 points

    HN discussion
  14. Submitted Nfu: Command-line Numeric Fu as a story · 53 points

    HN discussion
  15. Submitted Python, Clojure, Haskell: Factual Releases Drivers That Matter as a story · 53 points

    HN discussion
  16. Submitted Riffle: a high-performance write-once key/value storage engine for Clojure as a story · 36 points

    HN discussion
  17. Submitted Responsible Vacation Policy as a story · 31 points

    HN discussion
  18. Submitted Flotsam: Insanely Fast Floating-Point Number Serialization for Java, Javascript as a story · 31 points

    HN discussion
  19. Submitted A Brief Tour of Factual’s Machine Learning Pipeline as a story · 17 points

    HN discussion
  20. Submitted Extend Drake (“Make for data”) with a Simple Clojure Project as a story · 14 points

    HN discussion
  21. Submitted Building a Faster API Stack Using Node.js as a story · 14 points

    HN discussion
  22. Submitted Advice I’d Send Myself Before Starting My Machine Learning Internship at Factual as a story · 11 points

    HN discussion
  23. Submitted Ruby driver released for Factual's data platform as a story · 11 points

    HN discussion
  24. Submitted If It Walks Like an Entrepreneur... as a story · 10 points

    HN discussion
  25. Submitted Factual’s API: A Good Fit for Node as a story · 9 points

    HN discussion
  26. Submitted Using Clojure to Generate Java to Reimplement Clojure as a story · 8 points

    HN discussion
  27. Submitted Profiling Hadoop Jobs with Riemann as a story · 8 points

    HN discussion
  28. Submitted Docker, Mesos, Marathon, and the End of Pets as a story · 7 points

    HN discussion
  29. Submitted New Drake (“Make for Data”) Feature: Asynchronous Step Execution as a story · 7 points

    HN discussion
  30. Submitted Drake: you can use it now as a story · 4 points

    HN discussion

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