How to make assumptions explicit and shared so that validation, market exploration, and strategy are easier By Chris Burgess You hear a lot about building products by solving problems. But what happens when the product already exists and you now need to validate it? This is the situation many companies find themselves in, especially those moving from projects to products. Products are always built in response to a perceived problem, whether that problem has been made explicit

I explore why glasses and headsets are not competing categories, what shifts are happening, and why this is key for the future of personal computing.

I started with a clear goal. I wanted to interpret and summarise scattered data. I am not technical, so I set out to build an AI agent with no code. More than sixty hours later, with more than twenty seven nodes created and the need to start vibe coding, it became clear that it was anything but simple.

Spatial computing is moving from screens to spaces, but adoption will depend on how naturally people can use it. This post explores the future of human–computer interaction through three lenses — humans, computers, and interaction — showing how generational familiarity, device evolution, and intuitive gestures will shape the next era of computing.

Introducing 'The Onion Model' which helps tech investors to see innovation as a series of expanding layers that turn discovery into proof, then traction, then scale.

Emerging technologies are often built before their story exists, which makes them powerful but difficult to sell. A clear story helps people see what the product does and why it matters. Some founders begin with the story, others with the product, but the most successful learn how to turn one into the other. This post explores how story and product shape each other and how that connection helps you sell emerging technologies.

Deep tech startups face a unique challenge. Their technology often works long before the market is ready for it. This case study explores how one company navigated that gap between invention and adoption, revealing five lessons on how to turn deep tech innovation into product-market fit. From focus and market relevance to data and timing, it offers practical insights for founders bringing science-based innovation to market.

Discover how the innovation paradox impacts businesses and learn strategies to overcome it.

Startups in emerging technology often get stuck in custom delivery. Every client request feels like progress, but it leads to fragmented projects instead of a scalable product. This post explores how to build repeatable value through product led growth by understanding your audiences, finding patterns, validating them with evidence, and turning those insights into a story that scales.

As XR evolves into spatial computing, the winners will not be those with the most advanced technology but those who tell the clearest story about the experience. People do not buy XR because of what it is but because of how it feels to use. XR product storytelling helps founders turn complex technology into something human, meaningful, and easy to understand.

No-code tools will likely soon be automated by Gen AI. This shift will reduce need for coding skills & further emphasise the need for UX

A number of devices we have are capable of scanning our homes using its cameras, is there a future where this data is stored where we want?

Snap’s latest demo highlighted a growing truth in XR. The industry no longer struggles with what’s possible, but with making innovation usable, repeatable, and scalable. After more than a decade building in AR and VR, Chris Burgess shares three lessons that show how XR companies can balance accessibility and ambition to turn innovation into adoption.

The tech hype cycle rewards visibility and punishes hesitation. Once feasibility is proven, attention rises fast and fades faster. Staying relevant means more than chasing trends. It requires clarity, credibility, and consistent progress long after the hype moves on.

Chris Burgess argues that clarity in describing the user experience, supported by Spatial Computing and seeing how AI has told its story, is essential to restore both investor and user confidence.

It appears that the role of a software developer is essential for creating AR content. I outline how I think this can be addressed.