Developing on NVIDIA® Jetson™ for AI on the Edge

State of JetsonHacks 2016

First I want to thank everyone for reading, and wish everyone a super duper 2017. It’s usually fun to recap some statistics about the website, I know sometimes people are curious to see how many other people are using JetsonHacks.

JetsonHacks Website

The following chart helps give you an idea of how much the website has grown over the last 12 months. JetsonHacks came online in June 2014, shortly after the NVIDIA Jetson TK1 Development Kit was introduced. The Jetson TX1 Development Kit was introduced in October 2015:

JetsonHacks Traffic

As you can see, the number of page views more than doubled from 2015 to 2016. 2015 brought in more than 130,000 views from 52,000 visitors. In contrast, 2016 brought in more than 290,000 views from 92,000 visitors! The site appears to be still growing a smidge, the average daily page views has increased from 360 in 2015 to 800 in 2016.

The most popular posts continue to be deep learning related. Caffe Deep Learning Framework – NVIDIA Jetson TX1 and NVIDIA Jetson TK1 – cuDNN install with Caffe example each received over 7,000 views in 2016. Basic how to articles and screencasts are next, while robotics and vision related posts remain quite popular. In 2015, JetsonHacks posted 120 articles. In 2016, 71 articles were posted.

Visitors came from over 148 countries to visit JetsonHacks. Here are the top ten from 2016:

JetsonHacks Countries List

The list is much the same as last year, with the exception that China jumped to the second spot from number 9. Thank you for taking the time to stop by!

JetsonHacks YouTube Channel

The associated JetsonHacks YouTube Channel has also shown the same type of growth in 2016.

In 2015, there were 135K views with a watch time of 314K minutes. There were 658 Likes, 25 Dislikes, 166 Shares and 780 Subscribers were added. For 2016, there were 223K views with a watch time of 515K minutes. There were 1,043 Likes, 40 Dislikes, 321 Shares and 1228 Subscribers added. 45 new videos were posted in 2016, the entire channel currently has around 155 videos.

As you might expect, people consume video differently than they do on the JetsonHacks website. The video viewers appear to be more pragmatic, the videos for JetPack installation and how to install the Stereolabs ZED camera and Intel RealSense Camera are the most popular.

Unfortunately everyone pretty much behaved themselves and I didn’t get to ban anyone this year. One can always hope.

Just a quick note. “Likes” in the YouTube world, along with how long the video is watched, helps to recommend the video to other viewers. Subscriptions and comments do much the same thing. If you like the video, give it a thumbs up. On the other hand, if you disliked the video and give it a thumbs down, it would be useful to know why you didn’t like it in the comments. If you dislike the video I won’t hate you forever, just for what’s left of my natural life.

JetsonHacks Github Repository

In the JetsonHacks Github Repository, there are now 71 repositories, up from 43 in 2015. People have been using the repositories on a regular basis, I hope everyone is finding them useful. Make sure to give them a star if you find them useful, it helps decide future projects. Also, feel free to generate pull requests for improvements.

On to 2017

Certainly if you have anything you’re working on and would like JetsonHacks to know about, send an email.

Again, thank you for all of your support. I hope your 2017 goes really swell. Oh, and it’s good to see you survived 2016, others weren’t so lucky.

Peace Out,



4 Responses

  1. Hi Jim.
    I totally agree with you (last phrasis)
    I’m french, and like too much towns, 2016 was a very hard year….really hope to see better days.
    Our passion help us to fix our attention anywere else..
    Happy new year to all of you.

  2. Hi jim
    i installed OpenframeWorks for Jetson TX1
    [] for compiled source.
    and ZED Moved !! for OpenframeWorks
    and TensorRT moved!! ‘DetectNET’ for OpenframeWorks
    and TensorRT moved ‘Segment’ for OpenframeWorks
    Very interesting !! 

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