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302: Scaling trustlessness — John from Horizen Labs on ZK, rollups, and verification layers

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Manage episode 509140480 series 3012250
Content provided by Sam Kamani. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sam Kamani 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://ppacc.player.fm/legal.

John, VP of Product at Horizen Labs, breaks down how Zero-Knowledge Proofs (ZKPs) shift us from “trust” to “zero doubt.” We cover what ZK is (with an intuitive cave/password analogy), why ZK rollups matter, and how ZK Verify aims to be a dedicated, hyper-efficient proof-verification blockchain (think “B2B chain” living behind apps). We discuss tradeoffs (security/decentralization/throughput), SNARKs vs STARKs, real use cases (logins, proof of personhood, high-frequency trading privacy), why some things are over-hyped (prediction markets), and what’s next (mainnet, grants, API tools, and massive proof scalability). If you care about scaling Web3 without sacrificing trustlessness, this one’s for you.

Timestamps

  • [00:00] John’s path from banking product to ZK & Horizen Labs

  • [00:03] What Horizen Labs builds; the through-line of ZK across products

  • [00:05] ZK explained: proving without revealing (the cave & secret door)

  • [00:08] Why ZK rollups: decongesting Ethereum and lowering gas

  • [00:10] ZK Verify: a dedicated chain for proof verification (Celestia-style specialization)

  • [00:13] Product vision: mainnet, throughput, efficiency; exploring more of the ZK stack

  • [00:14] Who uses it: “B2B blockchain” for high-volume proofs (DEX/HFT, logins, identity)

  • [00:16] The trilemma still exists; where ZK helps and where tradeoffs remain

  • [00:18] SNARKs vs STARKs; trusted setups & security nuance

  • [00:21] Scaling challenges: fast-moving ZK landscape; substrate upgrades; mainstream timing

  • [00:24] Adoption: UX, stablecoins, institutions, and avoiding another FTX moment

  • [00:31] “Zero doubt” > “trust”: why ZK removes the need to trust

  • [00:32] Most over-hyped now? Prediction markets (and a caveat)

  • [00:36] Roadmap: capacity, aggregation, sample apps, grants, dev onboarding

  • [00:40] Ask: builders, followers, grant applicants, API users

Connect

https://horizenlabs.io/

https://www.linkedin.com/company/horizenlabs/

https://x.com/horizenlabs

https://www.linkedin.com/in/johncamardo/

https://x.com/john_camardo

Disclaimer

Nothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.
Be a guest on the podcast or contact us - https://www.web3pod.xyz/

  continue reading

304 episodes

Artwork
iconShare
 
Manage episode 509140480 series 3012250
Content provided by Sam Kamani. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sam Kamani 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://ppacc.player.fm/legal.

John, VP of Product at Horizen Labs, breaks down how Zero-Knowledge Proofs (ZKPs) shift us from “trust” to “zero doubt.” We cover what ZK is (with an intuitive cave/password analogy), why ZK rollups matter, and how ZK Verify aims to be a dedicated, hyper-efficient proof-verification blockchain (think “B2B chain” living behind apps). We discuss tradeoffs (security/decentralization/throughput), SNARKs vs STARKs, real use cases (logins, proof of personhood, high-frequency trading privacy), why some things are over-hyped (prediction markets), and what’s next (mainnet, grants, API tools, and massive proof scalability). If you care about scaling Web3 without sacrificing trustlessness, this one’s for you.

Timestamps

  • [00:00] John’s path from banking product to ZK & Horizen Labs

  • [00:03] What Horizen Labs builds; the through-line of ZK across products

  • [00:05] ZK explained: proving without revealing (the cave & secret door)

  • [00:08] Why ZK rollups: decongesting Ethereum and lowering gas

  • [00:10] ZK Verify: a dedicated chain for proof verification (Celestia-style specialization)

  • [00:13] Product vision: mainnet, throughput, efficiency; exploring more of the ZK stack

  • [00:14] Who uses it: “B2B blockchain” for high-volume proofs (DEX/HFT, logins, identity)

  • [00:16] The trilemma still exists; where ZK helps and where tradeoffs remain

  • [00:18] SNARKs vs STARKs; trusted setups & security nuance

  • [00:21] Scaling challenges: fast-moving ZK landscape; substrate upgrades; mainstream timing

  • [00:24] Adoption: UX, stablecoins, institutions, and avoiding another FTX moment

  • [00:31] “Zero doubt” > “trust”: why ZK removes the need to trust

  • [00:32] Most over-hyped now? Prediction markets (and a caveat)

  • [00:36] Roadmap: capacity, aggregation, sample apps, grants, dev onboarding

  • [00:40] Ask: builders, followers, grant applicants, API users

Connect

https://horizenlabs.io/

https://www.linkedin.com/company/horizenlabs/

https://x.com/horizenlabs

https://www.linkedin.com/in/johncamardo/

https://x.com/john_camardo

Disclaimer

Nothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.
Be a guest on the podcast or contact us - https://www.web3pod.xyz/

  continue reading

304 episodes

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