DiscoverWeb3 with Sam Kamani302: Scaling trustlessness — John from Horizen Labs on ZK, rollups, and verification layers
302: Scaling trustlessness — John from Horizen Labs on ZK, rollups, and verification layers

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

Update: 2025-09-29
Share

Description

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/

Comments 
In Channel
loading
00:00
00:00
1.0x

0.5x

0.8x

1.0x

1.25x

1.5x

2.0x

3.0x

Sleep Timer

Off

End of Episode

5 Minutes

10 Minutes

15 Minutes

30 Minutes

45 Minutes

60 Minutes

120 Minutes

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

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

Sam Kamani