JetsonHacks

Developing on NVIDIA® Jetson™ for AI on the Edge

State of JetsonHacks 2015

jetsonBotJBThumbFirst, I want to thank everyone for viewing JetsonHacks.com, and wish everyone an absolutely fantastic 2016. I thought it would be fun to recap some statistics about the website, and look ahead for what’s in store. It’s the time of year to look back and reflect so that one can then push forward forcefully.

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:

2015 jetsonHacks Website Statistics
2015 jetsonHacks Website Statistics

As you can see, the 6 months of 2014 brought about 8200 views from 3400 visitors. In contrast, 2015 brought in more than 130,000 views from more than 52,000 visitors! In 2014, there were 39 posts; in 2015 there were 120. The site is growing, there have been about 45,000 views in November and December combined alone.

The most popular post was NVIDIA Jetson TK1 – cuDNN install with Caffe example with almost 8,000 views. In fact, Caffe and the other deep learning and machine learning articles are the most popular on the site by a large margin, followed by some of the more basic how to articles, then vision processing and robotics. This probably reflects the importance and emphasis of deep learning on a power efficient computing platform.

Visitors came from over 125 countries to visit JetsonHacks.com. Here are the top 10 during 2015:

Locations of JetsonHacks viewers
Locations of JetsonHacks viewers

While the United States number is not surprising, I am surprised a little bit by the next three in the list: Japan, Taiwan, and South Korea. While all three countries are well known for their technical capabilities, the part that surprised me was that people there were willing to read the sometimes silly english that I write. 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 2015.

In 2014, there were 24K views with a watch time of 56K minutes. There were 189 Likes, 4 Dislikes, 14 Shares and 184 Subscribers were added.
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.

The YouTube channel viewers seem to be pragmatic, the most popular videos tend to be of the “how to” variety. However, the most popular video was the NVIDIA Jetson TX1 Development Kit Unboxing video which helps show the interest in the new Jetson TX1.

It has been fortunate that there has only been a couple of bans on the channel in 2015. Here’s the deal: Haters are going to hate, that’s a given. If you click ‘Dislike’ on a JetsonHacks video, that’s OK although a special place in hell will be reserved for you. However, if you make comments that are only critical and not constructive, that gets you banned. I will say that it is a lot of fun to ban people from the kingdom, there’s a certain amount of energy that comes from the act. Don’t let that be you.

JetsonHacks Github Repository

In the JetsonHacks Github Repository, there are now 43 repositories and 25 ‘gists’. Over time, I’ve tried to migrate away from gists, as most of the snippets change over time and need to be stored in a repository for better version control. People have been using the repositories on a regular basis, I hope everyone is finding them useful.

Looking Ahead in 2016

In 2015, the JetsonHacks Twitter account was started to help publicize posts on the JetsonHacks website and offer reporting of events in the Jetson community and ecosystem. In 2016, a Facebook presence is planned with much the same idea in mind. This should should increase the reach of JetsonHacks.

There will be several new Jetson related projects in 2016. These projects will be more in depth than previous projects. One of the projects is a robotic autonomous vehicle. There are also projects planned around vision processing and deep learning. In order to support these projects, JetsonHacks will be adding a forum to the website to give people a place to discuss these projects in greater detail. One of the intents of the forum is to provide a place for people to share the projects that they are working on too.

There will also be spotlight articles on people that are working on Jetson related projects (and certainly any that have been working on JetsonHacks projects), similar to the idea of the article that NVIDIA ran on JetsonHacks. The idea here is to act as an aggregator and give a place for people to share what they’ve been working on.

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 2016 goes really swell.

Peace Out,

Jim

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