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180 - Data Driven Descents with Downamics

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Manage episode 285845092 series 1558318
Content provided by Gareth Beckett. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Gareth Beckett or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

On episode #180 we are chatting Nick Lester, the founder and owner of the data acquisition company, Downamics about how using such a data driven system can give you feedback with specific related data, helping you set up your bike relevant to your riding style, your riding technique and basically tell you in what areas you can improve, making you a faster rider from top to bottom.

Join us as we find out how data acquisition can help us become better on the bike, enjoy our rides more and become faster on the trails.

For more information and show notes visit: www.mtb-tribe.com

  continue reading

215 episodes

Artwork
iconShare
 
Manage episode 285845092 series 1558318
Content provided by Gareth Beckett. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Gareth Beckett or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

On episode #180 we are chatting Nick Lester, the founder and owner of the data acquisition company, Downamics about how using such a data driven system can give you feedback with specific related data, helping you set up your bike relevant to your riding style, your riding technique and basically tell you in what areas you can improve, making you a faster rider from top to bottom.

Join us as we find out how data acquisition can help us become better on the bike, enjoy our rides more and become faster on the trails.

For more information and show notes visit: www.mtb-tribe.com

  continue reading

215 episodes

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