Space and Time has officially launched Dreamspace, a public AI-powered app builder designed to make onchain development accessible to a much wider audience. Built in collaboration with Microsoft Azure AI Foundry and Base, the platform allows users to describe an application in plain language and have the system generate a functional app along with deployable smart contract logic.
The launch represents a notable shift in how blockchain infrastructure is being packaged for end users. Rather than targeting only experienced developers, Dreamspace is positioned as a no-code tool for creators, entrepreneurs, students, and emerging onchain builders. The core idea is simple: users provide a text prompt explaining what they want to build, and the platform handles the technical implementation behind the scenes.
Turning Complex Infrastructure Into a Consumer Tool
Space and Time has been known primarily for its role in securing financial-grade onchain data. With Dreamspace, the company is extending that infrastructure beyond institutional or highly technical use cases and into the broader creator economy. According to the company, applications built through the platform inherit the same secure data layer used in larger-scale financial environments.
The platform also emphasizes transparency. Smart contract logic generated through Dreamspace is visible and verifiable, allowing users to inspect how an application behaves onchain rather than relying on opaque automation. That design choice is important in blockchain development, where trust often depends on the ability to verify code execution and data integrity.
Nate Holiday, co-founder of Space and Time, said the company was built to make verifiable data accessible to any application at any scale, and described Dreamspace as the point where that infrastructure meets the people creating the next wave of the internet. The message is clear: the company sees AI-assisted creation as a way to dramatically widen participation in blockchain-based software development.
Microsoft and Base Provide Key Support
Dreamspace’s technical stack reflects deep collaboration with major industry partners. The product uses Azure OpenAI, while Microsoft’s venture arm M12 had previously led a $20 million investment in Space and Time in 2022. That earlier backing helped establish the foundation that Dreamspace is now building on in its public rollout.
Microsoft’s involvement is significant not only as a funding signal but also as validation of a broader enterprise-grade approach to AI and data infrastructure. Michael Stewart, managing partner at M12, said the flexibility now demonstrated by Dreamspace reflects the kind of foundation Microsoft had looked for when it first invested in Space and Time. His remarks suggest that blockchain infrastructure is increasingly being viewed as something that should become invisible to users—powerful in function, but effortless in experience.
On the blockchain side, Dreamspace runs on Base, Coinbase’s Ethereum Layer 2 network. That integration gives the platform a practical performance profile for commercial applications, including sub-1-second transaction speeds, fees below $0.01, and full EVM compatibility. These characteristics matter because they reduce one of the biggest barriers to mainstream onchain adoption: friction. If a user can generate and deploy an app quickly while keeping transaction costs near negligible, experimentation and business formation become more viable.
Eric Brown, head of AI developer relations at Base, described the project as making it possible to start an onchain business as simply as having an idea worth building. That framing aligns Dreamspace with a larger industry push to transform blockchain from a specialized engineering discipline into an accessible entrepreneurial toolkit.
Early Usage Signals Strong Interest
Although Dreamspace’s public launch took place on April 23, the platform had already seen substantial engagement during its beta phase. Space and Time said users created more than 34,000 apps before the official launch. While the company did not disclose how many of those applications were deployed into active use, the figure still points to meaningful early experimentation and user curiosity.
This level of beta activity suggests there is real demand for tools that compress the traditional blockchain development workflow. Writing smart contracts, setting up front-end interfaces, integrating data layers, and managing deployment pipelines can be intimidating even for professional engineers. A platform that reduces those steps into a prompt-based workflow could appeal to a wide range of users who have ideas for onchain products but lack the technical resources to build them from scratch.
The promise of no-code tooling is not new, but applying it to blockchain in a transparent and verifiable way is still relatively early. Dreamspace enters a market where developers and startups are looking for ways to ship faster, while non-technical users increasingly expect AI systems to turn natural-language instructions into working software. The platform sits at the intersection of those trends.
Education Becomes a Major Use Case
One of the most notable details in the launch is Dreamspace’s early traction in education. In Indonesia, several schools have already integrated the platform into their curricula and established AI labs around it. According to the announcement, those efforts aim to reach more than 140,000 students.
This educational push expands Dreamspace beyond the usual narrative of startup productivity tools. If students can learn application design, blockchain logic, and AI-assisted development through a no-code interface, the platform could help create a pipeline of new builders who enter Web3 without needing to first master conventional programming stacks.
That matters strategically for the broader blockchain sector. One of the industry’s recurring challenges has been onboarding new talent. Traditional Web3 development often requires understanding Solidity, wallet interactions, testnets, deployment frameworks, and security assumptions. Educational implementations of tools like Dreamspace could lower that learning curve and help introduce blockchain concepts in a more interactive way.
At the same time, the educational angle reinforces the company’s democratization message. Instead of reserving advanced infrastructure for fintech teams or crypto-native developers, Space and Time is presenting the same foundational capabilities as usable by students and first-time creators.
A Broader Trend Toward Accessible Onchain Creation
The release of Dreamspace reflects a broader evolution in the blockchain industry. Infrastructure providers are no longer focused solely on scalability and performance in the abstract; they are increasingly packaging those capabilities into products that simplify user experience. AI is accelerating that transition by turning natural language into an interface for software creation.
In Dreamspace’s case, the combination is especially notable: verifiable data infrastructure from Space and Time, AI tooling powered by Microsoft, and low-cost execution via Base. Together, these components aim to remove three traditional pain points in blockchain development—technical complexity, trust concerns, and transaction cost.
Whether Dreamspace becomes a major gateway for the next generation of onchain applications will depend on how well it performs beyond early adoption. Developers and creators will likely evaluate it on reliability, flexibility, transparency, and the quality of generated contract logic. But even at launch, the product signals where the market may be heading: toward a world where building onchain applications looks less like programming from scratch and more like describing an idea clearly enough for AI to assemble it.
For Space and Time, Dreamspace is more than a product launch. It is a statement that blockchain infrastructure can be abstracted without losing verifiability, and that AI may be the layer that brings sophisticated onchain building tools to the mainstream.