Accelerating Network Effects in the Metcalfe Convergence Phase

OriginTrail founders Branimir Rakic, Žiga Drev and Tomaž Levak join Trace Labs’ Jurij Skornik and host Jonathan DeYoung to break down the significance of the Metcalfe Convergence Phase and discover how economic incentives, AI agents & trusted knowledge converge to unlock exponential network effects. Branimir also shares a technical demonstration of a unique new functionality and use case.

On TRAC(k) brings you all the latest and juiciest developments from the OriginTrail ecosystem and the Decentralized Knowledge Graph, aka the DKG. This episode of On TRAC(k) was hosted and edited by Jonathan DeYoung.

Episode chapters:

(00:00:00) Intro to the On TRAC(k) podcast and this month’s episode

(00:01:05) Recapping the past few months

(00:10:16) Explaining the Metcalfe Convergence Phase

(00:21:19) TRAC tokenomics and Knowledge Asset quality

(00:30:29) Autonomous DKG growth and AI agents

(00:34:39) DKG nodes powered by AI agents

(00:40:17) Edge Node browser plugin demo

(00:52:57) How to get involved with Umanitek

(00:56:13) Opening the flood gates with V8

(01:01:23) Final thoughts/wrap-up

Explore more from OriginTrail:

🔹 Website → https://origintrail.io/
🔹 OriginTrail Official docs → https://docs.origintrail.io/
🔹 Discord → https://discord.com/invite/xCaY7hvNwD
🔹 Telegram → https://t.me/origintrail
🔹 Instagram → https://www.instagram.com/origintrail.io/
🔹 LinkedIn → https://www.linkedin.com/company/origintrail/
🔹 X → https://x.com/origin_trail