A Case Study in Using LBRY Well

by | Aug 18, 2020 | blog

Two Ways Of Getting Your Content On LBRY

There are two main categories of people publishing content to LBRY: those who publish manually themselves by using the LBRY app, and those who have synced their YouTube channel, so their YouTube videos are automatically re-published to LBRY. It won’t be long before the latter category can control their content in the LBRY app too, but before then, I’d like to highlight a cool third option, by way of an example.

Why Not Both?

Efe Aydal is a Turkish guy who publishes a range of content — about what, I have no idea, since I don’t speak Turkish. But he has around 200,000 subscribers on YouTube and was recently approached by a Turkish LBRY enthusiast. Aydal synced his YouTube channel, which is now also available at @conmech. However, he is also publishing his content manually on LBRY, to a separate channel, @efeaydal. On this channel, he is posting early previews of his YouTube videos, and charging his fans 5 LBRY Credits (LBC) for each video. At the current, historically low, exchange rate, that’s about 5 US cents per view. It’s quite easy to come by 5 LBC using the in-app rewards, so while some of his fans may have bought LBC in order to purchase Aydal’s early release videos, many would be using the free rewards to watch them. Those who don’t want to pay can simply wait and watch his content on the @conmech channel or on YouTube (boo, hiss), just a bit later than the paying customers.

How’s It Working Out?

So, how is this working out? Well, in less than a month, Aydal’s two channels are both rocketing up the Top LBRY Channels list. The videos have been viewed 2068 times and have earned 8,990 LBC in purchases plus 8,531 LBC in tips (it’s a coincidence that those two numbers are similar). This is on top of the 20,000 LBC he would have received from syncing his YouTube channel. Plus, he’s introduced hundreds of new people to LBRY. Not bad for a month’s work!
Dr. Brendon Brewer
Dr. Brendon J. Brewer studied physics and astrophysics at The University of Sydney in Australia, graduating with a first class honours degree in 2004 and a PhD in 2008. After a short time at UNSW, Brendon moved to the University of California, Santa Barbara for a postdoc in astrophysics. Brendon now specialises in statistics, most notably in Bayesian Inference, which he teaches as Senior Lecturer at the University of Auckland. He has also made presentations at major organisations such as the European Space Agency (ESA) and Stanford University. Brendon has won awards for his work, including, best PhD thesis from the Astronomical Society of Australia, and was a finalist for the The Prime Minister’s MacDiarmid Emerging Scientist Prize. Brendon is a skilled programmer in C++, Python, Haskell, and R, and is experienced with LBRY API technologies which he utilises to compile data for LBRYnomics.