May 15, 2018

clypd Granted Patent for Demand Target Detection

Today, clypd was granted a new patent (9,973,794: “Demand Target Detection”), an invention for inferring the intended target audience of an advertiser’s requested TV media plan. […]
January 24, 2018

Modular Interface Mocks for Testing

It’s been almost three and a half years since I published “Database Testing Patterns in Go“. The post was about how at clypd we were using […]
May 16, 2017

Jingsong Cui on Forecasting in the Television Industry

In this special Q+A, we talk with Jingsong Cui, clypd’s Head of Media Analytics. We discuss the importance of forecasting, clypd’s approach to forecasting, and what […]
July 20, 2016

Transitioning to React & Redux: Learnings from our First Engineering Experiment

What do you do when your parents pull you out of school to go to Disney World but you have a project due the next day? For the past year at clypd, the UI engineering team has been moving our JavaScript code to React and Flux. The team was very excited about the transition because it meant better organization of our code and the ability to write unit tests. However, there were a few issues:
July 12, 2016

Eighty-Four Mathematicians Walk into a Lecture Hall…

And tackle four industrial problems, including a programmatic TV problem proposed by clypd, during a week-long workshop. This happened on June 12-17, 2016 at Duke University during the 32nd Annual Mathematical Problems in Industry (MPI) Workshop. This year, the MPI workshop attracted 84 mathematicians from universities, industry, and national laboratories from Canada, the UK, and the US.
May 14, 2015

Simple Database Interaction in Go

At clypd, almost every feature we build is data-driven. It is therefore important for the data access layer of our Go platform to be powerful, yet easy to build upon, maintain, and debug. Today we dive into the design of the clypd data access layer, the frameworks we chose, and how we augmented them. A huge benefit provided by Go is simplicity throughout the clypd stack. Dependencies, particularly third-party libraries, are often opaque in other programming languages due to varying code style, source code that is difficult to find, or abstraction layers that are challenging to see through. The source code for any library is just a click away in Go. Design idioms found in dependency libraries are usually similar to the ones we use, which ensures that the entire system is easy for our team to comprehend.
April 9, 2015
Jeff Walker

How to Use Agile Planning for Career Awesomeness

At the beginning of 2014, I was thinking about how we might create a meaningful review process. I am not a big fan of only yearly reviews. I don’t know about you, but I have no idea what I was doing a year ago and often, what was important at this time last year is not relevant now. So, how do we make a better process that helps drive career growth? I already had a one-on-one process established where we have the “how’s it going?” discussion. I always start the conversation with “Are you having fun? Are you learning stuff? Are you building awesomeness?” The response I always get is “yes, yes, yes." Then I ask, “What did you learn? What part was fun and what was not? What kept you from building awesomeness?” And that’s where the interesting conversations start. For me, learning, fun and building are intertwined.
February 25, 2015

Go: One Year Later

Almost a year ago, we blogged about our reasoning and methodology for choosing Go as our next generation platform here at clypd. A year is a long time, both in software technology and in the lifetime of a startup. Since paper is the traditional gift for a one year anniversary, it seems appropriate to write down our learnings so far. When we posted “Getting to Go,” we included a list of the selection factors we used to evaluate potential platforms. The list includes
September 9, 2014

Container Technology: Integration Testing with Docker

Thorough testing continues to be a key tenet of software development at clypd. Quality is paramount, but shipping code quickly requires us to be efficient in how we search for bugs. We’ve found innovative ways to unit test individual Go packages of our programmatic television ad platform as it has grown in its capabilities. The construction of a similarly efficient mechanism to test large portions of the whole system has taken our test automation to the next level.