Let's talk about tech (maybe). ‣‣‣ Lee (@lee_crossley) writes software that sounds awesome and music that's bug-free. His primary duties include ensuring no prep and adding bugs to the podcast during the edit. ‣‣‣ Lauren (@lcolledge1983) is a healthcare bore and loves data and finding out about memes about a year after everyone else. She enjoys long debates about blockchain and being mansplained to. ‣‣‣ Andy (@azd_lowry) is a software developer, manager and semi-professional yak shaver. From the pre-Jurassic Park era. He enjoys long virtual walks in the snow and his favourite colour is indigo.

Feeling Techish
Claim This Podcastby Lee Crossley, Lauren Bevan, Andy Lowry
Podcast Overview
Let's talk about tech (maybe). ‣‣‣ Lee (@lee_crossley) writes software that sounds awesome and music that's bug-free. His primary duties include ensuring no prep and adding bugs to the podcast during the edit. ‣‣‣ Lauren (@lcolledge1983) is a healthcare bore and loves data and finding out about memes about a year after everyone else. She enjoys long debates about blockchain and being mansplained to. ‣‣‣ Andy (@azd_lowry) is a software developer, manager and semi-professional yak shaver. From the pre-Jurassic Park era. He enjoys long virtual walks in the snow and his favourite colour is indigo.
Language
🇺🇲
Publishing Since
11/4/2020
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Recent Episodes

June 17, 2021
Scams - send us some bitcoin and we'll double it
In this live episode of feeling techish, Lauren pulls off the greatest scam in our history… We also discuss different types of scams, how technology has enabled scammers and, of course, cryptocurrencies. Is bitcoin a scam?

May 27, 2021
Getting s*** done - not just moving it to done
This episode's topic is about getting stuff done, stuff we want to do and to a standard we can be proud of. Are you proud of the work you do? Topics include: Quick, look busy!Alpha vs perfectionismAgile and processBikeshedding“Innovation”

April 28, 2021
AI bias - not everyone is a model
Catch up with the Feeling Techish hosts' second live recording of the podcast. The topic of this episode is AI bias. What is it? How does it happen? What can we do to fix it?
13 total episodes available
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