November 2020 Podcast: FOMO, Sakuna: Of Rice and Ruin and Aussie fan service!

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2 mins read

The next generation of consoles will be on us in just weeks, and this time around it’s a little different. With COVID-19 disrupting manufacturing and shipping, a lot of people are going to miss the first wave of this generation, so this week on the podcast we talk about the almighty fear of missing out, or FOMO.

We also delve into all the games you’ll be playing in November (though we do mention Cyberpunk 2077, which has just been pushed into December now), and we talk about Sakuna: Of Rice and Ruin, one of the real gems and delights to emerge from 2020.

Finally, we are joined by special guest, Lachlan, to discuss his newly-released, and super-fanservicey Max’s Bigger Bust – the sequel to Max’s Big Bust, and one of the few games that combines anime art style and Australianisms. It’s a hilarious game, we promise.

Thanks as always for tuning in, and we’ll see you next month!

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The podcast is completely free, and there are a couple of ways that you can listen in:

1) Download the free Podbean application, and subscribe to the Digitally Uploaded podcast there (Just search “Digitally Uploaded”). Alternatively you can find us through our Feed RSS, here: http://digitallydownloaded.podbean.com/feed/

2) Simply head on over to the Digitally Uploaded mini-website and follow us there. You’ll be able to download episodes that way too to listen to them offline: http://digitallydownloaded.podbean.com/

3) Simply click on the player below to tune in as you browse DDNet!

4) We’re also on iTunes podcast, so you can search for us under “Digitally Uploaded” there, too.

Enjoy, and as always, please do let us know if you’ve got any feedback or would like for us to discuss a particular topic on an upcoming show.


This is the bio under which all legacy DigitallyDownloaded.net articles are published (as in the 12,000-odd, before we moved to the new Website and platform). This is not a member of the DDNet Team. Please see the article's text for byline attribution.

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