A roundtable with Porter Stowell (CEO, W3.io), Audie Sheridan (CTO, W3.io), Brian Freeman (CEO, Creatorland), and Giancarlo Roma (Senior Business Development Associate, Ava Labs)

The creator economy is now a $250 billion industry – and it is still accelerating at four times the rate of U.S. GDP growth. But for most creators, that headline figure remains out of reach. Their deal pipelines live in inboxes, their rates are guesswork, and the administrative burden of running a one-person media business eats the hours they should spend creating. Meanwhile, the infrastructure powering the platforms they depend on has long been dominated by centralized cloud providers charging what the industry has quietly come to call a “cloud tax.”

That calculus is changing. W3.io recently launched Dealsync for Creatorland – an AI-powered deal negotiation and triage engine built on a first-of-its-kind decentralized infrastructure stack combining Avalanche, Space and Time, and W3 Cloud. The result: AI compute costs running at less than 1% of legacy hyperscaler pricing in production, a system capable of processing millions of creator emails in real time, and a clear blueprint for how decentralized technology can serve as the backbone for the next generation of digital business.

Bitcoin.com sat down with the four architects of this project to discuss what they built, why they built it, and where it points. For creators, for the broader Web3 ecosystem, and for the future of digital savings.

The creator economy is now estimated at more than $250 billion and continues to grow rapidly. What structural challenges within this industry led to the development of Dealsync?

Porter Stowell, CEO, W3.io:

If you asked a creator to 10x their earnings within a year, how would they do it? It’s a hard problem to solve because time becomes their biggest bottleneck. Dealsync was created to scale an individual creator to achieve this type of goal. Less time spent on business development and payments, more time creating!

What operational challenges do creators face today when managing brand partnerships and negotiations?

Brian Freeman, CEO, Creatorland:

The biggest operational challenge is that creators are running real businesses through tools that weren’t designed for it. Their inbox is their deal pipeline, their DMs are their CRM, and their media kit is a PDF they update manually every few weeks if they remember to.

We’ve seen inboxes with 300-500 emails a week where legitimate brand deals are buried under spam, cold outreach, and platform notifications. And then there’s the information asymmetry – creators are operating blind. They don’t know what fair rates look like, they don’t know what their peers are charging, and they don’t have visibility into which brands are actively hiring.

Early development of Dealsync ran into limitations on traditional cloud providers. What challenges did you encounter?

Audie Sheridan, CTO, W3.io:

Legacy cloud forces you into rigid capacity tiers. You overprovision because you have to, then pay for it whether you use it or not. The more AI-native your application, the worse the economics get. When Creatorland came to us while building Dealsync, their experience validated exactly what we’d built W3 to solve. Our approach is fundamentally different: the infrastructure is the protocol. There’s no separate compute layer to provision, maintain, or manage.

How does decentralized GPU infrastructure achieve up to 50% cost reduction while maintaining performance and scalability?

Audie Sheridan, CTO, W3.io:

W3 aggregates underutilized CPU and GPU capacity and routes inference jobs dynamically. No static provisioning, no middleman margin. Scalability is inherent to the network: W3 scales horizontally by adding nodes rather than vertically by upgrading fixed infrastructure, so capacity grows with demand rather than ahead of it.

What advantages did W3 Cloud provide that made building on decentralized infrastructure the clear choice?

Brian Freeman, CEO, Creatorland:

It started with cost economics and evolved into something bigger. Our early A/B tests showed W3’s inference and analysis costs were less than 5% of what the same compute cost us on our existing hyperscaler infrastructure. In production, it is looking more like less than 1%. At scale, that is millions in savings, which means more experiments, a better product, and a lower price for our users.

W3 offers a fundamentally different path: continuous, durable compute powered by distributed infrastructure around the globe.

What made Avalanche a natural fit for the Dealsync platform?

Giancarlo Roma, Senior Business Development Associate, Ava Labs:

Avalanche is designed to help businesses operate efficiently and reliably. The real reason Avalanche is a strong fit is its focus on enabling real businesses to operate on blockchain without friction.

We are actively building the rails for embedded finance – real financial applications running on decentralized infrastructure. W3 is one of the teams helping make that possible, shipping production software that connects AI, payments, compliance, and settlement into workflows that enterprises can actually deploy.

You’ve described Dealsync as “performance-grade Web3 infrastructure.” What does that mean in practical terms, and how does it differ from how Web3 is often discussed today?

Porter Stowell, CEO, W3.io:

Dealsync is a real product processing real volume on decentralized infrastructure. That is what we mean when we say performance-grade. Web3 today is still stuck in an investment thesis. Most people think it is only good for trading and speculation. But the infrastructure has matured to a point where companies are choosing it because it makes their business model better over time, not because they are settling for it. Performance-grade means exactly that: cost, speed, and reliability that compete with or beat legacy cloud on the metrics that matter.

How does W3 orchestrate Avalanche, Space and Time, and W3 Cloud into a seamless system for end users?

Audie Sheridan, CTO, W3.io:

Each component has a specific role. Avalanche provides high-throughput, low-latency settlement. Space and Time provides cryptographically verifiable data, so when Dealsync surfaces a deal recommendation, the underlying data has a provable chain of custody. W3 sits above both as the active orchestrator, making real-time decisions about routing, execution, and settlement across the entire stack. From the end user’s perspective, it’s one seamless product.

What does this collaboration signal about the future of AI-driven applications on decentralized infrastructure – and how important is modular architecture to getting there?

Giancarlo Roma, Senior Business Development Associate, Ava Labs:

It shows that blockchain is starting to move from theory into everyday business use. What we’re seeing now is a shift toward using blockchain as a backend layer that improves how products function, especially when combined with AI. You have AI driving decision-making, infrastructure supporting that process, and blockchain handling the financial side. That full loop is starting to move from concept into real usage.

The next generation of applications will be built more like modern software stacks, where different technologies handle different parts of the workflow. The user doesn’t need to see any of that complexity – they just experience a platform that is faster, more reliable, and easier to use.

Dealsync’s AI model is trained on more than 30 million data points. How does that data improve the way brand deals are evaluated and negotiated?

Brian Freeman, CEO, Creatorland:

The core value right now is pattern recognition across thousands of creator inboxes. Across our initial 700+ beta users’ inboxes we’ve identified over 31K brand deals, 11,600 unique brands, and 12,700 unique brand contacts. A significant portion of those deals had gone unanswered because creators lost them in inbox noise.

Downstream, we see this powering rate benchmarking and eventually negotiation assistance – where we can surface relevant context like “this brand typically pays X for this type of content” based on real deal data, not guesswork.

You’ve spoken about creators becoming savers rather than simply earners. How does Dealsync move the industry in that direction – and where does Bitcoin fit into that picture?

Porter Stowell, CEO, W3.io:

Dealsync solves the first problem: helping creators find and close more deals in less time. Initial findings show Dealsync is surfacing over $1,000 per creator inbox per month in hidden or lost opportunities – deals buried in inbox noise that creators never would have known about. Scale that across 100,000 users and the numbers start to compound fast. But closing a deal is only half the equation. Creators still need to get paid fast with low fees and also need to have places to put their new earnings, and that’s where the next layer of what we’re building comes in.

Dealsync is the entry point. It gets creators onto digital rails by solving a problem they already have: finding and managing brand deals. Once they’re operating on that infrastructure, we can layer in payments and savings tools that make their money work harder. Once creators are saving on digital rails, we strongly believe all paths lead to Bitcoin. Now, we can begin to slowly transition 500M creators onto digital rails and eventually on to Bitcoin itself.

Dealsync’s launch marks more than a product release. It is a proof of concept for a new infrastructure thesis – one in which decentralized compute, verifiable data, and high-throughput settlement chains aren’t aspirational building blocks, but production-grade tools that outperform their centralized counterparts on cost, speed, and resilience.

For the creator economy, it represents a genuine on-ramp to digital financial rails. For the broader Web3 ecosystem, it offers a working model of what modular protocols can accomplish when assembled with real-world business problems in mind. And for a global community of 500 million creators – many of whom have never had access to professional financial tools – it may represent the first step toward something more durable: the path to Bitcoin.

To learn more about W3 and Dealsync, visit w3.io.

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