Seattle’s Hardware Heartbreak: A Recurring Pattern of High Hopes and Hard Landings

Editor’s Note: GeekWire co-founders Todd Bishop and John Cook created this column by recording themselves discussing the topic, asking AI to draft a piece based on their conversation, and then reviewing and editing the copy before publishing. Listen to the raw audio below.

If we look out GeekWire’s office window right now, down at Seattle’s Burke-Gilman Trail, we can practically guarantee one thing: if we wait 5 minutes, at least one Rad Power Bike will zip past. Probably more. They are ubiquitous — the “Tesla of e-bikes” that seemed to redefine urban transport during the pandemic.

But that physical prominence masks a brutal business reality. In the last few weeks, the Seattle tech scene has been rocked by two stories that feel like different verses of the same sad song, as documented by GeekWire reporter Kurt Schlosser. First, Glowforge — the maker of high-end 3D laser printers — went into receivership and was restructured. Then came the news that Rad Power Bikes might be forced to close entirely.

We’ve each covered the Seattle region’s tech ecosystem for around 25 years, and if there is one enduring truth in the Pacific Northwest, it is that hardware is not only hard, as the old saying goes, but for some reason it seems harder here.

It is naturally harder to manipulate atoms than digits. If Windows has a bug, Microsoft pushes an update. If a Rad Power Bike has a busted tire or a faulty component, you can’t fix it with a line of code. You need a supply chain, a mechanic, and a physical presence.

But the struggles of Rad and Glowforge go beyond the physical manufacturing challenges. They are victims of two specific traps: the quirks of the pandemic and the curse of too much capital.

Both companies were born before the pandemic, but they boomed during it. When the world locked down, the thesis for both companies looked invincible. We were all sitting at home in our PJs, desperate for a hobby — so why not buy a Glowforge and laser-print trinkets? We were wary of public transit and looking for recreation — so why not buy an e-bike?

Many tech companies, including giants like Amazon and Zoom, bet big that these behavioral changes were permanent. They weren’t. And we are seeing some of the indigestion of that period play out with massive layoffs at tech companies that got too big, too fast during the pandemic years. The world went back to normal, or at least found a new normal, but in the meantime these companies had scaled for a reality that no longer exists.

Then there is the money. In 2021, Rad Power Bikes raised over $300 million. When you raise that kind of cash, you are no longer allowed to be a nice, profitable niche business. You have to be a platform. You have to be a world-changer. Rad tried to build a massive ecosystem, including direct-to-consumer retail stores and mobile service vans to fix bikes in people’s driveways.

Building a physical service network is agonizingly expensive. Had they raised less and stayed focused on being a great bike maker, we might be having a different conversation. But venture capital demands a “Tesla-sized” outcome, and that pressure can crush a consumer hardware company.

History tells us we shouldn’t be surprised. Seattle has a painful relationship with consumer hardware. We’ve got one word for you: Zune. Or how about the Fire Phone? Or Vicis, the high-tech football helmet maker that crashed and burned. For those with long memories, the current situation rhymes with the saga of Terabeam in the early 2000s. They raised over $500 million to beam internet data through the air using lasers. It was a B2B play, not consumer, but the pattern was identical: massive hype, massive capital, and a technology that was difficult to deploy in the real world. They eventually sold for a fraction of what they raised.

We still love seeing those bikes on the Burke-Gilman. But in this economy, with inflation squeezing discretionary spending, $1,500 e-bikes and $4,000 laser printers are a tough sell.

Seattle may be the cloud capital of the world, but when it comes to consumer hardware, we’re still learning that you can’t just download a profit margin.

AI-Powered Efficiency and Safety in Corrections

As we mark Cybersecurity Awareness Month, it’s important to recognize the opportunities and safeguards that come with emerging technologies. In the field of corrections, AI is beginning to help facilities work smarter, not harder, by supporting staff who manage complex workloads, staffing shortages, and budget constraints.

In day-to-day facility operations, that means streamlining case routing, reducing paperwork bottlenecks, and giving officers back valuable time for investigations and direct engagement. When thoughtfully designed, AI can reduce the strain on limited resources, streamline administrative processes, and help identify risks earlier. The result is a more efficient, responsive system where officers can focus on what matters most: safety, rehabilitation, and human connection.

Every meaningful technology advancement starts with listening. For correctional facilities, that means understanding the realities of those who keep operations running, from correctional officers and case managers to IT teams and administrators. Each faces distinct challenges: managing staff shortages, heavy caseloads, and time-consuming reporting requirements. When we listen to these perspectives, patterns emerge. For example, staff often cite time and paperwork as their biggest barriers, not willingness to innovate.

By engaging with officers and administrators early and often, technology partners can design tools that fit within existing workflows rather than disrupt them. Officers might identify that incident reports take hours to compile, or administrators might flag data silos that slow investigations. With that input, AI solutions can be tailored to reduce those pain points to automating reports, flagging relevant cases faster, and consolidating data for easier review. When officers see that their feedback directly shapes the tools they use, adoption and trust grow naturally.

Listening also extends beyond product design to implementation and training. Every facility has its own culture, infrastructure, and pace of change. By involving staff in testing and iteration, organizations ensure AI complements human judgment, supports compliance, and respects privacy. The goal isn’t to introduce technology for technology’s sake, but to co-create solutions that remove friction, enhance safety, and give officers back valuable time.

AI can streamline routine tasks and summarize data, duties that once required hours of manual review. Investigative workflows benefit from automated alerts, consolidated reporting, and smarter case management tools. Facilities using AI in this way often see:

Helion Energy’s Bold Move: Scaling Up Fusion Power Manufacturing

Everett, Wash. – Helion Energy is pursuing a multifaceted strategy, aiming not just to achieve fusion power, but to manufacture it on a commercial scale. The company is simultaneously developing its seventh-generation fusion prototype while constructing a large-scale manufacturing facility – dubbed Omega – near its headquarters in Central Washington.

Helion’s approach centers around building an assembly line to produce the thousands of capacitors needed to deliver massive electrical surges to its fusion generator. This production will fuel the Orion power plant, a 50-megawatt facility in Malaga, Wash. The facility will utilize both human workers and robotics, incorporating both off-the-shelf and custom technology to accelerate the manufacturing process.

‘Helion is a manufacturing company,’ said Sofia Gizzi, Helion’s senior manager of production. ‘It’s not an R&D company. It’s not a science experiment. It’s very much a manufacturing company.’

The Omega facility is crucial to Helion’s strategy, aiming to mitigate supply chain disruptions and quickly adapt to evolving design needs. This approach aligns with a broader effort to restore American production capacity, supported by the bipartisan Fusion Advanced Manufacturing Parity Act, spearheaded by Washington state congressional leaders. The company recently secured $425 million in investment from prominent firms including OpenAI CEO Sam Altman and Nucor.

Helion’s plan involves initially producing approximately 2,500 capacitor units for the Orion plant, with production slated to begin in late 2026. The scale-up is designed to support the construction of subsequent fusion generators, with the facility capable of operating at 50% of its design capacity or less while producing Orion units. Looking ahead to 2030, Helion anticipates a significant expansion in its manufacturing capabilities.