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Theo Powers of Merkle

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Manage episode 373122214 series 3450882
Content provided by Amberdata. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Amberdata 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.

Amberdata's Head of Research Chris Martin interviews Theo Powers, CEO and founder of Merkle. The pair discusses everything MEV and mempools, including how mempools and private mempools work, why MEV is important, and the key difference between good and bad MEV.
For more information on Merkle, go to https://merkle.io/.

Disclaimer: This podcast is for educational purposes only. Nothing here is trading advice or solicitation.
For high-quality, granular data feeds reach out to hello@amberdata.io to inquire about our API solution and analytics platform.
For more information visit:
Amberdata
API Docs
Twitter
Youtube

  continue reading

18 episodes

Artwork
iconShare
 
Manage episode 373122214 series 3450882
Content provided by Amberdata. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Amberdata 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.

Amberdata's Head of Research Chris Martin interviews Theo Powers, CEO and founder of Merkle. The pair discusses everything MEV and mempools, including how mempools and private mempools work, why MEV is important, and the key difference between good and bad MEV.
For more information on Merkle, go to https://merkle.io/.

Disclaimer: This podcast is for educational purposes only. Nothing here is trading advice or solicitation.
For high-quality, granular data feeds reach out to hello@amberdata.io to inquire about our API solution and analytics platform.
For more information visit:
Amberdata
API Docs
Twitter
Youtube

  continue reading

18 episodes

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