Parse.ly Blog

  • Data, Journalists, and Learning to Code for the Newsroom

    Recently the topic of coding for journalists has been a subject of debate, from The Atlantic’s “Should Journalism Schools Require Reporters to ‘Learn Code’? No” to Noah Veltman’s “On journalism and learning to code (again)“. PandoDaily even crafted this handy flowchart for journalists: (Source:  Flowchart: Should journalists learn to code?  PandoDaily) Parse.ly’s core mission is…

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  • Parse.ly Insights from #ONA13

    Last week Parse.ly CEO Sachin Kamdar and VP of Sales and Marketing, John Levitt, joined 1,500 journalists and journalism experts at the  Online News Association  annual conference in Atlanta, GA. Parse.ly proudly sponsored the registration area, but we hoped to leave conference attendees with more than a sales pitch. Like our product, we value actionable…

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  • Just How Soon Will Google’s Dark Search Take Over?

    Last month, we combined the two things we love the most at Parse.ly: analytics and digital media, to create our first  Authority Report. We collect data on billions of pageviews across hundreds of  top-tier news sites. Just as individual newsroom editors can benefit from content and post analytics, so too can the entire digital media…

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  • Parse.ly Investors Back the New Content Performance Authority

    By: Sachin Kamdar, Parse.ly CEO Parse.ly recently closed a $5M Series A financing round led by Grotech Ventures.  You may have read about it today, but I want to share some more details about why this is important for the media industry. Our mission is to unlock the power of content through data and analytics.…

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  • Ratio Metrics: How Atlantic Media Measures Article Performance

    This is a guest post by Adam Felder, Associate Director of Digital Analytics at Atlantic Media.   Frequently in analytics, one has a tendency to only look at the stories that were wildly successful. This is a rather myopic view of success. Internally, we refer to the “80/20” rule: that the top 20 percent of…

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  • Zipf’s Law of the Internet: Explaining Online Behavior

    In 1949, the linguist George Kingsley Zipf noticed that given a natural language corpus, words are distributed such that the frequency of any word is inversely proportional to its rank in the frequency table. This means that the most frequent word occurs twice as often as the second most frequent word, three times as often…

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  • Feedback Loop: How I Improved My Day-to-Day Productivity with Data

    Data is enlightening, mesmerizing, and reflective. With the advent of technology, data points are much easier to harvest now. The trick in this day and age is to figure out the answers to be read from it. It is such a problem that Nate Silver’s The Signal and the Noise book touches on. This post…

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  • Intern Blog: What I’ve Learned at Parse.ly

    I’m a junior at NYU, where I’m studying computer science. I have a short attention span—which is why I’ve decided to write this in listicle form for those of you who are also easily distracted. I code until I barely wake up in time for work and I climb rocks. As you can tell, I…

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  • Intern Blog: Applying Programming Concepts to Everyday Life

    Over the past few months, I have been slowly learning Python. I wanted to learn programming as a way of expanding my knowledge and becoming familiar with software engineering. While I do have more of a business and analysis background, I still find it important, especially in this day and age, to know a little…

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  • The Content Trading Desk

    My first job out of college was as a software engineer for Morgan Stanley. This 50,000 employee firm employed tens of thousands of software engineers. Though the most important employees were the traders, it was clear that software ran the place. For anyone who has worked on Wall Street in the last couple of decades,…

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