The Future of Product Market Fit

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The future of product market fit lies in two main areas. Firstly, it involves developing technologies that can combat deep fakes and ensure content authenticity through watermarking. This will require individuals to watermark their content with private keys within the next three years. Blockchain is seen as the solution for this challenge. Secondly, the product market fit will require AI agents and similar tools to transact primarily on-chain using private keys for security, as traditional payment channels are not suitable for them. This shift is essential for tasks like purchasing tickets or building apps autonomously.

For this week’s episode, Jacquelyn interviewed Scott Dykstra, CTO and co-founder of Space and Time.

Before diving into web3, Scott spent almost 8 years at the cloud analytics and data platform Teradata and throughout the years he held roles of senior architect, director of cloud solutions and worked his way up to VP of the firm’s global cloud.

As for Space and Time, the company aims to be a verifiable compute layer for web3 that scales zero-knowledge proofs, or ZK proofs, on a decentralized data warehouse. Zero-knowledge proofs are a cryptographic action used to prove something about a piece of data, without revealing the origin data itself.

Space and Time has indexed data both off-chain and on-chain from Ethereum, Bitcoin, Polygon, Sui, Avalanche, Sei and Aptos and is adding support for more chains to power the future of AI x blockchain.

This episode is wrapping up Chain Reaction’s monthly series diving into different topics and themes in crypto. This month’s focused on blockchain and AI integrations.

Jacquelyn and Scott discuss Space and Time’s origin story, how data warehouses work in Web2.0 vs web3 and the importance of data transparency.

They also dive into:

Blockchain and AI potential
Its OpenAI and blockchain data developments
Future use cases for data and on-chain AI
Advice throughout the bull and bear markets

Chain Reaction comes out every Thursday at 12:00 p.m. ET, so be sure to subscribe to us on Apple Podcasts, Spotify or your favorite pod platform to keep up with the action.