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BackSpace and Time Launches Dreamspace AI App Builder for No-Code On-Chain Development
Space and Time Launches Dreamspace AI App Builder for No-Code On-Chain Development
Tech
Decrypt4/23/2026Tech2 min read

Space and Time Launches Dreamspace AI App Builder for No-Code On-Chain Development

Quick Look

  • Microsoft-backed blockchain network Space and Time launched Dreamspace, an AI-powered no-code platform enabling users to create and deploy on-chain applications and smart contracts.
  • The platform, in beta since August 2025, saw over 34,000 apps created before Thursday's public release.
  • Built on Microsoft Azure AI Foundry and Azure OpenAI, Dreamspace defaults to Coinbase's Base layer-2 network and has onboarded approximately 140,000 students.

AI-generated summary

Why It Matters

Space and Time, founded in 2022, provides blockchain-based data infrastructure for on-chain finance and has been expanding into AI through partnerships. The company partnered with Bless Network last year to support AI agents. Dreamspace represents the company's push to make blockchain development accessible to non-technical users.

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Microsoft-backed blockchain network Space and Time on Thursday launched Dreamspace, an AI-powered app builder designed to let users create and deploy on-chain applications and smart contracts without writing code. The platform has been in beta since August 2025, according to Space and Time co-founder Scott Dykstra, and the company said more than 34,000 apps were created before Thursday's public release. "It's about making it really easy to deploy an app that has a smart contract, where that smart contract is audited and you, as the creator, actually own it, sign it, and deploy it to an [Ethereum-based] chain," Dykstra told Decrypt. Dykstra compared Dreamspace to Lovable, an AI coding platform that lets users create apps from plain-language prompts, but said Dreamspace is specifically designed to generate, audit, and deploy smart contracts alongside the front-end applications that interact with them. "Anybody can use a tool like Lovable to build a website or a little app that has a back end, but we're talking about actually generating smart contracts, auditing them, and deploying them with a front end that understands the smart contract," Dykstra said. According to Space and Time, Dreamspace was built using Microsoft's Azure AI Foundry and Azure OpenAI, with front ends hosted on Azure and smart contracts deployable to any Ethereum Virtual Machine-compatible blockchain. Founded in 2022, Space and Time provides blockchain-based data infrastructure for on-chain finance and has increasingly pushed into AI, including through last year's partnership with Bless Network to support AI agents. Dreamspace has already onboarded about 140,000 students, Dykstra said, while the company said schools in Indonesia have created AI labs and curriculum centered around the platform. The platform defaults to Base, Coinbase's Ethereum layer-2 network, because Base supported the product during beta testing and user growth, Dykstra said. Space and Time also said Base enables transactions costing less than one cent and speeds of under one second. "We're building Base as an open stack for the global economy, and that means making it possible for anyone to participate as a builder, not just a user, and especially using cutting-edge tools like AI," Head of AI Developer Relations at Base, Eric Brown, said in a statement. "This exciting new project makes starting an onchain business as simple as having an idea worth building."

What to Watch

AI outlook — possibilities, not facts

  • More educational institutions will adopt Dreamspace for blockchain curriculum

    Likely · Within months

  • Additional blockchain networks will be added as default deployment options beyond Base

    Possible · Within months

Open Questions

  • What are the exact pricing structures for Dreamspace after the free beta period?
  • How does the smart contract auditing process work in detail?
  • What percentage of the 34,000 beta apps are actively used?

Related Topics

This article was originally published by Decrypt.

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