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Fabless + ventureLAB is Cloud Computing for Semiconductors

This is a follow-up blog post to my last piece about Blumind.

More than two decades ago, before I started my first company, I was involved with an internet startup. Back then, the internet was still in its infancy, and most companies had to host their own servers. The upfront costs were daunting—our startup’s first major purchase was hundreds of thousands of dollars in Sun Microsystems boxes that sat in our office. This significant investment was essential for operations but created a massive barrier to entry for startups.

Fast forward to 2006 when we started Wattpad. We initially used a shared hosting service that cost just $5 per month. This shift was game-changing, enabling us to bootstrap for several years before raising any capital. We also didn’t have to worry about maintaining the machines. It dramatically lowered the barrier to entry, democratizing access to the resources needed to build a tech startup because the upfront cost of starting a software company was virtually zero.

Eventually, as we scaled, we moved to AWS, which was more scalable and reliable. Apparently, we were AWS’s first customer in Canada at the time! It became more expensive as our traffic grew, but we still didn’t have to worry about maintaining our own server farm. This significantly simplified our operations.

A similar evolution has been happening in the semiconductor industry for more than two decades, thanks to the fabless model. Fabless chip manufacturing allows companies—large or small—to design their semiconductors while outsourcing fabrication to specialized foundries. Startups like Blumind leverage this model, focusing solely on designing groundbreaking technology and scaling production when necessary.

But fabrication is not the only capital-intensive aspect. There is also the need for other equipment once the chips are manufactured.

During my recent visit to ventureLAB, where Blumind is based, I saw firsthand how these startups utilize shared resources for this additional equipment. Not only is Blumind fabless, but they can also access various hardware equipment at ventureLAB without the heavy capital expenditure of owning it.

Let’s see how the chip performs at -40C!
Jackpine (first tapeout)
Wolf (second tapeout)
BM110 (third tapeout)

The common perception that semiconductor startups are inherently capital-intensive couldn’t be more wrong. The fabless model—in conjunction with organizations like ventureLAB—functions much like cloud computing does for software startups, enabling semiconductor companies to build and grow with minimal upfront investment. For the most part, all they need initially are engineers’ computers to create their designs until they reach a scale that requires owning their own equipment.

Fabless chip design combined with shared resources at facilities like ventureLAB is democratizing the semiconductor space, lowering the barriers to innovation, and empowering startups to make significant advancements without the financial burden of owning fabrication facilities. Labour costs aside, the upfront cost of starting a semiconductor company like Blumind could be virtually zero too.

That’s why the saying, “software once ate the world alone; now, software and hardware consume the universe together,” is becoming true at an accelerated pace. We have already made several investments based on this theme, and we are super excited about the opportunities ahead.

P.S. This blog is licensed under a Creative Commons Attribution 4.0 International License. You are free to copy, redistribute, remix, transform, and build upon the material for any purpose, even commercially, as long as appropriate credit is given.

Bridge Technologies are Rarely Great Investments

More than two decades ago, I co-founded my first company, Tira Wireless. The business went through several iterations, and eventually, we landed on building a mobile content delivery product. We raised roughly $30M in funding, which was a significant amount at the time. We even ranked as Canada’s Third Fastest Growing Technology Company in the Deloitte Technology Fast 50.

We had a good run, but eventually, Tira had to shut its doors.

We made numerous strategic mistakes, and I learned a lot—lessons that, quite frankly, helped me make far better decisions when I later started Wattpad.

One of the most important mistakes we made was falling into the “bridge technology” trap.

What is the “bridge technology” trap?

Reflecting on significant “platform shifts” over recent decades reveals a pattern: each shift unleashes waves of innovation. Consider the PC revolution in the late 20th century, the widespread adoption of the internet and cloud computing in the 2000s, and the mobile era in the 2010s. These shifts didn’t just create new opportunities; they also created significant pain points as the world tried to leap from one technology to another. Many companies emerged to solve problems arising from these changes.

Tira started when the world began its transition from web to mobile. Initially, there were countless mobile platforms and operating systems. These idiosyncrasies created a huge pain point, and Tira capitalized on that. But in a few short years, mobile consolidated into just two major players—iOS and Android. The pain point rapidly disappeared, and so did Tira’s business.

Similarly, most of these “bridge technology” companies perform very well during the transition because they solve a critical, short-term pain point. However, as the world completes the transition, their business disappears. For instance, numerous companies focused on converting websites into iPhone apps when the App Store launched. Where are they now?

Some companies try to leverage what they’ve built and pivot into something new. But building something new is challenging enough, and maintaining a soon-to-be-declining bridge business while transitioning into a new one is even harder. This is akin to the innovator’s dilemma: successful companies often struggle with disruptive innovation, torn between innovating (and risking profitable products) or maintaining the status quo (and risking obsolescence).

As an investor, it makes no sense to invest in a “bridge” company that is fully expected to pivot within a few years. A pivot should be a Plan B, not Plan A. It’s extremely rare for bridge technology companies to become great, venture-scale investments. In fact, I can’t think of any off the top of my head.

We are currently in the midst of a tectonic AI platform shift. We’re seeing a huge volume of pitches, which is incredibly exciting. Many of these startups built great technologies and products. However, a significant number of these pitches also represent bridge technologies. As the current AI platform shift matures, these bridge technologies will lose relevance. Sometimes, it’s obvious they’re bridge technologies; other times, it requires significant thought to identify them. This challenge is intellectually stimulating, and I enjoy every moment of it. Each analysis informs us of what the future looks like, and just as importantly, what it will not look like. With each passing day, we gain stronger conviction about where the world is heading. It’s further strengthening our “seeing the future is our superpower” muscle, and that’s the most exciting part.

P.S. This blog is licensed under a Creative Commons Attribution 4.0 International License. You are free to copy, redistribute, remix, transform, and build upon the material for any purpose, even commercially, as long as appropriate credit is given.

Portfolio Highlight: #paid

#paid was one of the first investments we made at Two Small Fish Ventures. It’s been over a decade since we backed Bryan and Adam, who were still working out of Toronto Metropolitan University’s DMZ at the time. They had a vision to build a platform that connected creators and brands before “creator” was even a term! Back then, influencer and creator marketing campaigns were just tiny experiments.

A decade later, the creator economy has taken off. It’s now a $24 billion market—an order of magnitude larger than just a few years ago, with no signs of slowing down. The next wave of growth is still ahead as ad spending continues to shift away from traditional media. With the global ad market approaching $800 billion, one thing remains true: ad dollars follow the eyeballs—always. And where are those eyeballs today? On creators and influencers.

Today, #paid has become the world’s dominant platform, with over 100,000 creators onboard. It addresses a significant challenge: most creators don’t know how to connect with brands, especially iconic brands like Disney, Sephora, or IKEA. On the other hand, brands struggle to find the right creators amidst a sea of talent. #paid bridges this gap, acting as the marketplace that makes collaboration easy. They use data-driven insights to determine what makes a successful match, ensuring that both creators and brands can find each other effortlessly.

At #paid, brands and creators work with a dedicated team of experts to build creative strategies backed by research, first-party data, and industry benchmarks. This means campaigns run smoothly, allowing creators to focus on doing what they love—creating—without getting bogged down by administrative tasks.

I’m not just speaking as an investor—I’ve actually run a campaign with #paid as an influencer myself, and I can personally vouch for how seamless the experience was.

If you think #paid is all about TikTok, Snap, or Instagram, think again. Brands leverage #paid content across every platform. Want proof? Just check out the Infiniti TV commercial, which came from a #paid campaign.

How about billboards in major cities like NYC, Toronto, and more? #paid has that covered too.

#paid also brings creators and marketers together in real life. I had the privilege of speaking at their Creator Marketing Summit in NYC a few weeks ago, and I was amazed at how far #paid has come. The summit brought together hundreds of creators and top brand marketers—an impressive showcase of the platform’s evolution.

Looking back on this journey, here are my key takeaways:

• Great companies take a decade to build.

• To create a category leader, especially in winner-take-all markets, the idea has to be bold and often misunderstood at first. Bryan and Adam saw something that few others did, and their first-mover advantage has solidified #paid’s leading position today.

• There’s no such thing as “done.” #paid constantly reinvents itself. Generative AI is another exciting opportunity for step-function growth, and I can’t wait to see what’s next.

Bryan and Adam should be incredibly proud of what they’ve accomplished.

P.S. This blog is licensed under a Creative Commons Attribution 4.0 International License. You are free to copy, redistribute, remix, transform, and build upon the material for any purpose, even commercially, as long as appropriate credit is given.