Android Just Smells Like Home (feat. Julia Skott)

Matthew hosts special guest Julia Skott – quite literally in his home. Julia's all about Android, but uses an iPad and Mac, so the two have a lot to talk about. Plus Julia is just amazing.
Matthew hosts special guest Julia Skott – quite literally in his home. Julia's all about Android, but uses an iPad and Mac, so the two have a lot to talk about. Plus Julia is just a blast.

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Episode summary:

Julia starts by explaining how she turned off all of Matthew's lights, then details her relationship with Bixby and her experience with work iPhones. But—thankfully—she's part of the "larger format iOS world" thanks to apps like Procreate and the Apple Pencil. 

Matthew prods Julia about which apps are really keeping her on Android, and she mentions often it's the time cost that prevents major changes. Which of course leads to ways Matthew spends too much effort on projects at the wrong time, before refocusing on the various little apps that still work on Android while iOS breaks compatibility.

Matthew holds his first Android phone in years and examines it as Julia mentions all the little things that make the experience in the face of, say, corporate decisions. Matthew also cedes that much of the customization is baked-in instead of requiring developer adoption, especially since Julia is from Sweden and she quite literally needs products rebuilt with different letters.

Then the conversation steers towards Matthew's accidental but not really but well-meaning iMessage shaming of Julia, which leads to some pondering of how much real-world fallout there actually is over Android vs iOS.

The two head towards the end of the discussion talking about learning iPad by way of necessity for work, the mix of natural intuitiveness alongside gestures you'd almost never discover, and getting moisture in the input of oversized smartphones.

From there, Julia espouses the benefits of her pop socket, Matthew brings back the pinky ledge conversation, and Julia ends with a great point: you can predict what tech might be like, but you can't predict the world and how much people have learned yet.

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