Enter to Win a Copy of the Book “Mentor to Millions” by My Upcoming Podcast Guests

9
0

I'm excited that the guests for the first episode of my new podcast, “My Favorite Mistake” are Kevin Harrington and Mark Timm, co-authors of the upcoming book Mentor to Millions: Secrets of Success in Business, Relationships, and Beyond.

Mark Timm is an accomplished entrepreneur and Kevin Harrington is, among other things, one of the original “sharks” on the hit TV show “Shark Tank.”

I'm happy to be running a contest to give away two copies of their new book as a way of celebrating the podcast launch (coming soon in September). Click here or on the image below to enter.

Due to high book shipping costs, winners must have a U.S. mailing address.

But, the podcast is free to everybody, regardless of where you are. Please subscribe today to make sure you get the first episodes and everything that will follow.


What do you think? Please scroll down (or click) to post a comment. Or please share the post with your thoughts on LinkedIn – and follow me or connect with me there.

Did you like this post? Make sure you don't miss a post or podcast — Subscribe to get notified about posts via email daily or weekly.


Check out my latest book, The Mistakes That Make Us: Cultivating a Culture of Learning and Innovation:

Get New Posts Sent To You

Select list(s):
Previous articleEpisode #19 of “Lean Whiskey”: Mark Graban & Cliff Hazell, Talkin’ ‘Bout Tweets
Next articleDr. Deming, Lean, and Shifting From Command & Control
Mark Graban
Mark Graban is an internationally-recognized consultant, author, and professional speaker, and podcaster with experience in healthcare, manufacturing, and startups. Mark's new book is The Mistakes That Make Us: Cultivating a Culture of Learning and Innovation. He is also the author of Measures of Success: React Less, Lead Better, Improve More, the Shingo Award-winning books Lean Hospitals and Healthcare Kaizen, and the anthology Practicing Lean. Mark is also a Senior Advisor to the technology company KaiNexus.

LEAVE A REPLY

Please enter your comment!
Please enter your name here

This site uses Akismet to reduce spam. Learn how your comment data is processed.