Five Banana Lessons

My last post — Stop Supplying. Start Owning. — was one of the most engaging posts I have published in recent weeks. One part of that talk that I did not go deep enough on was the banana analogy.

I have been using this framework in talks for some time now — most recently at the Engineering Deans Canada annual meeting in Winnipeg, and before that in a keynote at York University’s Schulich School of Business on a related but different topic: “Think like an owner”. I think this analogy deserves its own post.

So for this Sunday morning, something a little lighter. Just five banana lessons that I think apply whether you are a student figuring out your first job, a founder building a company, or an investor trying to understand where value actually lives.

Yes, I went bananas — but not in a way you might think. It all starts with a monkey.

The Setup

Jack Ma once said: if you put money and a banana in front of a monkey, the monkey takes the banana. It does not know that money can buy many bananas.

I love this analogy. On the surface, it is a simple observation about short-term versus long-term thinking. But the more I have sat with it — through three companies with well over a thousand employees across three companies, two exits, and now as an investor in over 60 companies — the more I think it contains an entire philosophy of value creation.

Here are the five lessons I have drawn from it.

Lesson 1 — Cash Is Better Than a Banana

Jobs are bananas.

People grab them because a steady salary and job security feel safe. And they are not wrong to. A banana feeds you. It is real. It matters.

But a banana feeds you once. Cash — real ownership, real equity, real stakes in what you are building — feeds you many times. The problem is not that people value jobs. The problem is that too many people never stop to ask whether there is something better in front of them.

Recognizing that alternatives exist is the first step toward creation and ownership. Most people never take that step — not because they lack ambition, but because nobody ever put the alternative clearly in front of them.

Lesson 2 — Some Bananas Are Better Than Others

Not all jobs are created equal.

Some opportunities teach you, compound your skills, put you inside exceptional teams, and give you proximity to how great companies are actually built. Others keep you comfortable but stuck — including, surprisingly, many high-paying jobs at large, slow-moving organizations.

The number of jobs created is not a useful measure of prosperity. The quality of those jobs — and what they teach, and what they lead to — is what matters.

When I was early in my career, I worked at Delrina, one of the most successful Canadian tech companies of the 1990s. The company grew from 20 people to 800 in four years when Eva and I worked there. We learned more in that rocketship environment than I could have anywhere else. That was not a banana. That was a greenhouse banana — rare, valuable, and 100% worth seeking out.

The lesson: be deliberate about which banana you grab. Not all of them are the same.

Lesson 3 — A World-Class Banana Tree Is Better Than a Banana

A banana feeds you once. A tree feeds you forever.

This is where the shift from employee thinking to founder thinking begins. One banana is a salary. A tree is equity, ownership, and compounding returns on something you built.

Ownership compounds. Wages do not.

The number of jobs created is still the wrong KPI. A single world-class company — owned, scaled, and defended — creates more durable economic value than a thousand comfortable jobs at organizations that will be restructured, acquired or hollowed out over time.

Do not just own the banana. Own the tree.

Lesson 4 — A Banana Farm Is Better Than a Tree

A tree is better than a banana. But a farm is better than a tree.

Dole, a company valued at just over $1 billion and one of the most recognizable fruit brands in the world, does not just grow bananas. It operates a vertically integrated business — owning farmland, managing logistics, controlling supply. It works with over 8,000 independent farmers who supply it. Those farmers are good at what they do. But they are suppliers.

Participation as a supplier is not enough. Ownership of the platform — the farm, the infrastructure, the system — is where the compounding really begins.

Even “the number of trees” is the wrong KPI. It is the farm that matters.

Lesson 5 — A Store Is Better Than a Farm

This is the one that tends to land hardest in a room.

Even Dole — a billion-dollar company, one of the most recognized brands in its category — is a tiny supplier to the giant retailers that actually own the customer relationship. Walmart. Costco. Amazon. These are the stores. They do not grow bananas. They sell them — at scale, with leverage, owning the customer from end to end.

The store owns the customer. The store sets the rules. The store captures the value that flows through the entire chain. Needless to say, many of these stores are an order of magnitude more valuable than Dole.

This is the lesson that I applied at Wattpad. We were not just a reading platform. We owned the direct relationship with five million writers and one hundred million readers, with virtually no external dependencies. That end-to-end ownership is what made us defensible.

Amazon Kindle tried to kill us — not once, but multiple times. They launched product after product specifically designed to compete with Wattpad. Not only did we win every battle, we won the war. A clean sweep. It is rare for a company our size to take on Amazon Kindle directly and come out on top. Owning the full chain — the writers, the readers, and the relationship between them — is what made that possible. I will save the full story for another post.

True prosperity means owning the whole chain — from innovation to commercialization, from suppliers to customers. The number one KPI is ownership. Jobs follow capital, innovation, and commercialization. Not the other way around.

Why This Matters Beyond Business

I have shared this framework in many different rooms — with founders, with students, with engineering deans — and it lands every time. I think it is because the banana lessons are not really about business. They apply broadly to how we think about our lives.

Yes, the framework is useful in a business context. And yes, it is useful in an investment context. But it also applies to personal decisions, career choices, relationships, and how we spend our time. Are you grabbing the banana in front of you because it is comfortable and familiar? Or are you asking what the tree looks like? What the farm looks like? Who owns the store?

The mental model you build early about what success looks like shapes every decision that follows. Most people never stop to interrogate it.

Do not just grab the banana. Ask yourself what the tree looks like. Then ask what the farm looks like. Then ask who owns the store.

That is where the real value lives — in business, in investing, and in life.

If you missed the post this is a follow-up to, you can read Stop Supplying. Start Owning. here: [Link]

Quantum: From Sci-Fi to Investable Frontier

When I was studying electrical engineering, out of my curiosity, I chose to take an elective course on quantum physics as part of advanced optics. It sparked my curiosity in quantum. The strange, abstract, counterintuitive rules, for example particles existing in multiple states or being entangled across distance, captivated me.

Error correction, closely related to fault tolerance in quantum systems today, is the backbone of telecommunications, one of the areas I majored in.

Little did I know these domains would converge in such a way that my earlier academic training would become relevant again years later.

For me, computing is not just my profession, it is also my hobby. As a science nerd, I actively enjoy following advances, and I keep going deeper down the rabbit hole of the next frontier of computing. That mix of personal curiosity and professional focus shapes how I approach both the opportunities and risks in the space. Over the past few years, I have gone deeper into the world of quantum. My academic and professional background gave me the footing to evaluate both what is technically possible and what is commercially viable.

From If to How and When

In June, I wrote Quantum Isn’t Next. It’s Now. We have passed the tipping point where the question is no longer if quantum technology will work, it is how and when it will scale.

This momentum is not just visible to those of us deep in the field. As the Globe and Mail recently reported, we at Two Small Fish have been following quantum for years, but did not think it was mature enough for an early-stage fund with a 10-year lifespan to back. This year, we changed our minds. As I shared in that article: “It’s much more investible now.”

The distinction is clear: when quantum was still a science problem, the central question was whether it could work at all. Now that it has become an engineering problem, the questions are how it will work at scale and when it will be ready for commercialization.

This shift matters for investors. Venture capital focuses on engineering breakthroughs, hard, uncertain, but achievable on a commercialization timeline. Fundamental science, which can take many more years to mature, is better supported by governments, universities, and non-dilutive funding sources. I will leave that discussion for another post.

One of Five Frontiers

At Two Small Fish Ventures, we have identified five areas shaping the next frontier of computing. Quantum falls under the area of advanced computing hardware, where the convergence of different areas of science, engineering, and commercialization is accelerating.

Each of these areas is no longer a speculative science experiment but a rapidly advancing field where engineering and commercialization are converging. Within the next ten years, the winners will emerge from lab prototypes and become scaled companies. Quantum is firmly on that trajectory.

How We Invest in Quantum

Our first principle at Two Small Fish is straightforward: we only invest in things we truly understand, from all three technology, product, and commercialization lenses. That discipline forces us to dig deep before committing capital. And after years of study, it is clear to us that quantum has moved into investable territory, but only selectively.

Not every quantum startup fits a venture time horizon. Some promising projects will take too many years to scale. But we are now seeing opportunities that, within a 10-year window, can realistically grow from an early-stage idea to a successful scale-up. That is the standard we apply to every investment, and quantum finally has companies that meet it.

From Sci-Fi to Reality

Canada has played an outsized role in building the foundation of quantum science. Now, it has the chance to lead in quantum commercialization. The next few years will determine which teams turn breakthrough science into enduring companies.

For investors, this is both an opportunity and a responsibility. The quantum era is not a distant possibility, it is here now. What once sounded like science fiction is now an investable reality. And for those willing to put in the work to understand it, the frontier is already here.

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Portfolio Highlight: Axiomatic

Last year we invested in Axiomatic AI. Their mission is to bring verifiable and trustworthy AI into science and engineering, enabling innovation in areas where rigour and reliability are essential. At the core of this is Mission 10×30: achieving a tenfold improvement in scientific and engineering productivity by 2030.

The company was founded by top researchers and professors from MIT, the University of Toronto, and ICFO in Barcelona, bringing deep expertise in physics, computer science, and engineering.

Since our investment, the team has been heads down executing. Now they’ve shared their first public release: Axiomatic Operators.

What They’ve Released

Axiomatic Operators are MCP servers that run directly in your IDE, connecting with systems like Claude Code and Cursor. The suite includes:

  • AxEquationExplorer
  • AxModelFitter
  • AxPhotonicsPreview
  • AxDocumentParser
  • AxPlotToData
  • AxDocumentAnnotator

Why is this important?

Large Language Models (LLMs) excel at languages (as their name suggests) but struggle with logic. That’s why AI can write poetry but often has trouble with math — LLMs mainly rely on pattern matching rather than reasoning.

This is where Axiomatic steps in. Their approach combines advances in reinforcement learning, LLMs, and world models to create AI that is not just fluent but also capable of reasoning with the rigour required in science and engineering.

What’s Next

This first release marks an important step in turning their mission into practical, usable tools. In the coming weeks, the team will share more technical material — including white papers, demo videos, GitHub repositories, and case studies — while continuing to work closely with early access partners.

Find out more on GitHub, including demos, case studies, and everything else you need to make your work days less annoying and more productive: Axiomatic AI GitHub

We’re excited to see their progress. If you’re in science or engineering, we encourage you to give the Axiomatic Operators suite a try: Axiomatic AI.

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Jevons Paradox: Why Efficiency Fuels Transformation

In 1865, William Stanley Jevons, an English economist, observed a curious phenomenon: as steam engines in Britain became more efficient, coal use didn’t fall — it rose. Efficiency lowered the cost of using coal, which made it more attractive, and demand surged.

That insight became known as Jevons Paradox. To put it simply:

  • Technological change increases efficiency or productivity.
  • Efficiency gains lead to lower consumer prices for goods or services.
  • The reduced price creates a substantial increase in quantity demanded (because demand is highly elastic).

Instead of shrinking resource use, efficiency often accelerates it — and with it, broader societal change.

Coal, Then Light

The paradox first appeared in coal: better engines, more coal consumed. Electricity followed a similar path. Consider lighting in Britain:

PeriodTrue price of lighting (per million lumen-hours, £2000)Change vs. startPer-capita consumption (thousand lumen-hours)Change vs. startTotal consumption (billion lumen-hours)Change vs. start
1800£8,0001.118
1900£250↓ ~30×255↑ ~230×10,500↑ ~500×
2000£2.5↓ ~3,000× (vs. 1800) / ↓ ~100× (vs. 1900)13,000↑ ~13,000× (vs. 1800) / ↑ ~50× (vs. 1900)775,000↑ ~40,000× (vs. 1800) / ↑ ~74× (vs. 1900)

Over two centuries, the price of light fell 3,000×, while per-capita use rose 13,000× and total consumption rose 40,000×. A textbook case of Jevons Paradox — efficiency driving demand to entirely new levels.

Computing: From Millions to Pennies

This pattern carried into computing:

YearCost per GigaflopNotes
1984$18.7 million (~$46M today)Early supercomputing era
2000$640 (~$956 today)Mainstream affordability
2017$0.03Virtually free compute

That’s a 99.99%+ decline. What once required national budgets is now in your pocket.

Storage mirrored the same story: by 2018, 8 TB of hard drive storage cost under $200 — about $0.019 per GB, compared to thousands per GB in the mid-20th century.

Connectivity: Falling Costs, Rising Traffic

Connectivity followed suit:

YearTypical Speed & Cost per Mbps (U.S.)Global Internet Traffic
2000Dial-up / early DSL (<1 Mbps); ~$1,200~84 PB/month
2010~5 Mbps broadband; ~$25~20,000 PB/month
2023100–940 Mbps common; ↓ ~60% since 2015 (real terms)>150,000 PB/month

(PB = petabytes)

As costs collapsed, demand exploded. Streaming, cloud services, social apps, mobile collaboration, IoT — all became possible because bandwidth was no longer scarce.

Intelligence: The New Frontier

Now the same dynamic is unfolding with intelligence:

YearCost per Million TokensNotes
2021~$60Early GPT-3 / GPT-4 era
2023~$0.40–$0.60GPT-3.5 scale models
2024< $0.10GPT-4o and peers

That’s a two-order-of-magnitude drop in just a few years. Unsurprisingly, demand is surging — AI copilots in workflows, large-scale analytics in enterprises, and everyday generative tools for individuals.

As we highlighted in our TSF Thesis 3.0, cheap intelligence doesn’t just optimize existing tasks. It reshapes behaviour at scale.

Why It Matters

The recurring pattern is clear:

  • Coal efficiency fueled the Industrial Revolution.
  • Affordable lighting built electrified cities.
  • Cheap compute and storage enabled the digital economy.
  • Low-cost bandwidth drove streaming and cloud collaboration.
  • Now cheap intelligence is reshaping how we live, work, and innovate.

As we highlighted in Thesis 3.0:

“Reflecting on the internet era… as ‘the cost of connectivity’ steadily declined, productivity and demand surged—creating a virtuous cycle of opportunities. The AI era shows remarkable parallels. AI is the first technology capable of learning, reasoning, creativity… Like connectivity in the internet era, ‘the cost of intelligence’ is now rapidly declining, while the value derived continues to surge, driving even greater demand.”

The lesson is simple: efficiency doesn’t just save costs — it reorders economies and societies. And that’s exactly what is happening now.

If you are building a deep tech early-stage startup in the next frontier of computing, we would like to hear from you. This is a generational opportunity as both traditional businesses and entirely new sectors are being reshaped. White-collar jobs and businesses, in particular, will not be the same. We would love to hear from you.

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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.

Masterclass Series: The Rule of 3 and 10 — Lessons I Wish I Learned Earlier

One of the most powerful frameworks I’ve come across is the Rule of 3 and 10, coined by Hiroshi Mikitani-san, founder and CEO of Rakuten. The idea is simple: every time a company triples in size, everything breaks.

As Rakuten grew from a handful of people into a global business, Mikitani-san noticed a clear pattern. At each stage — 1 to 3 people, 3 to 10, 10 to 30, 30 to 100, 100 to 300, and beyond — what worked before suddenly stopped working. And by everything, it really does mean everything: payroll, meetings, communication, budgeting, sales, even the org chart. The challenge is that many leaders blow right through these milestones without realizing what’s happening until it’s already broken.

What I Wish I Knew

I’ve been part of many really fast-growing companies — first as an employee, and later as a co-founder in two of them. And I can tell you, this rule is 100% true.

At Wattpad, I didn’t fully internalize it until we were approaching 100 people. By then, we had already missed natural breaking points where we could have rebuilt earlier. That lag made scaling harder than it needed to be.

Looking back, the stages feel something like this:

  • At 3 people, you’re a tight-knit unit where everyone knows everything.
  • At 10, you need to change how you communicate just to stay aligned.
  • At 30, the days of everyone reporting to the CEO are long gone — a first layer of leaders emerges.
  • At 100, there are layers of layers of leaders, and even well-designed systems need rethinking.
  • At 300, you’re running a completely different company than the one you started.
  • At 1,000, it feels like a mini-society with its own subcultures, bureaucracy, and politics — alignment becomes the hardest problem of all.

The Employee’s View

Before becoming an entrepreneur, I lived through this as an employee too. The breaking points are just as visible from the inside.

As companies scale, it gets harder to push things through. Meetings multiply, but decisions slow. Bystander problems appear — more people in the room, but fewer actually taking ownership. From the employee’s perspective, it feels frustrating and inefficient. But it’s not about capability; it’s about systems that no longer fit the size of the company.

Why This Matters

In the moment, it can feel like failure. But it isn’t. It’s simply that scale changes everything.

The good news: these challenges are solvable. Every growing company has faced them. The bad news: if you only react after things break, you’ll always be catching up instead of leading.

My Takeaway

If you’re building a fast-growing company, expect everything to break at 3, 10, 30, 100, 300, 1,000… and plan for it.

Don’t see it as failure. See it as evolution. Each breakdown is proof you’ve unlocked a new stage of growth. The chaos is part of the privilege — it means you’re building something worth scaling.

If I could go back and tell my younger CEO self one thing, it would be this: anticipate the breaks before they happen. Build a culture that embraces reinvention at every stage. You’ll save yourself and your team a lot of unnecessary pain — and you’ll enjoy the ride more.

P.S. The banner is using Ideogram Character to generate. It rocks!

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Legends of Semiconductors: The Only Dinner Where the Edition Number Matters

At most dinners, introductions start with your name and maybe what you do.

At this one, we began with:
“Second edition.”
“Fourth edition.”

Why? Because this was our “School of Fish – Legends of Semiconductors” dinner, hosted at our home, where your relationship with the Sedra & Smith textbook was the common thread.
(I’m second edition, if you’re wondering.)

We were incredibly honoured to have Dr. Adel Sedra, former Dean of Engineering at the University of Waterloo, join us. Recently appointed to the Order of Canada, Dr. Sedra is a towering figure in the world of electrical engineering. Since 1982, his textbook has taught more than three-quarters of the world’s electrical engineers. It is hard to find someone in the field who has not studied from it. I consider myself extraordinarily fortunate, not just to have learned from his book, but to have been his student more than 30 years ago at the University of Toronto. Few have had the privilege of learning directly from a legend.

We were equally honoured to host Benny Lau, co-founder of ATI Technologies, whose legacy lives on in AMD’s GPUs to this day. AMD acquired ATI for $5.4 billion nearly 20 years ago, still one of the largest tech acquisitions in Canadian history. When Eva worked at ATI, she had the chance to work closely with Benny. His presence brought our conversation full circle, from classroom to commercialization. Adding even more depth to the evening, Benny was also once a student of Dr. Sedra. Two generations of engineers at the same table, both shaped by the same teacher.

From left to right: Benny Lau, Eva Lau, Ljubisa Bajic

This evening was also a chance to reconnect with those who shaped my own journey. Martin Snelgrove and Raymond Chik, my professor and TA respectively, were both there and are now serial entrepreneurs. They are also co-founders of Hepzibah, a Two Small Fish portfolio company. (I still can’t help but sometimes call him Professor Snelgrove.) Xerxes Wania, another one of my TAs from back in the day, went on to build and exit two semiconductor companies and added his voice to the conversation.

From left to right: Xerxes Wania, Dr. Adel Sedra, Allen Lau, Martin Snelgrove, Raymond Chik

We were also joined by Ljubisa Bajic, former CEO of TensTorrent and now CEO of Taalas, who also spent part of his career at ATI, further adding to the thread that connected many of us. Chris Yip, Dean of Engineering at the University of Toronto, and Deepa Kundur, current Chair of U of T’s Department of Electrical & Computer Engineering—continuing the legacy of leadership that Dr. Sedra once held in that position—also attended. Professor Tony Chan Carusone, now also CTO of Alphawave Semi and coauthor of the Sedra & Smith textbook starting with the 8th edition, brought both academic and commercial perspectives to the table.

From the TSF portfolio side, we were thrilled to have Professor Doug Barlage of the University of Alberta and Professor Chris Eliasmith of the University of Waterloo, co-founders of Zinite and ABR, respectively.

And of course, our partner Dr. Albert Chen joined us. He is a graduate of Waterloo Engineering and knows a thing or two about semiconductors himself.

Semiconductors brought us together that night.
Textbook and tapeout were what we talked about, and we all loved them.

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Masterclass Series: The Triathlon Rule of Deep Tech Startups

A swimming world champion, a cycling champion, and a marathon champion each tried their hand at a triathlon.

None of them even came close to the podium. All were easily defeated.

Why?

Because the swimming champion could not bike, nor could he run fast.

The cycling champion did not swim well.

The marathon runner was painfully slow in the water.

The winner?

It was someone who had been humbled by the swimming champion in the pool for years, finishing second in the world championships multiple times. He was an exceptional swimmer, yes. However, he could also bike fast and run hard. Not the best in any single discipline, but strong across all three. And that is what won him the race.

The takeaway:

To win in triathlon, you need to be competitive in all three disciplines.

The winner is often world class in one of them, but they must be very good if not great at the other two.

This is the same mistake many first time deep tech founders make.

They believe that superior technology alone is enough to win.

It is not.

While technology is crucial, and in fact it is table stakes and the foundation of innovation, it must be transformed into a usable product. If it does not solve a real problem in a way people can adopt and benefit from, its brilliance is wasted.

And even if you have built world class technology and a beautifully crafted product, you are still not done. Without effective commercialization, which includes distribution, pricing, sales, positioning, and partnerships, you will not reach the users or customers who need what you have built.

I wrote more about this in The Three Phases of Building a Great Tech Company: Technology, Product, and Commercialization. Each phase demands different skills. Each must be taken seriously.

Neglecting any one of them is like trying to win a triathlon without training for the bike or the run.

Just like a triathlete must train in all three disciplines, a founder must excel across all three pillars:

  • Great and defensible technology
  • An excellent product
  • Execution on commercialization

You need all three.

That is how you win the world championship.

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Wattpad Was My Regular Season. TSF Is My Playoff Hockey

When entrepreneurs exit their companies, it is supposed to be a victory lap. But in reality, many find themselves in an unexpected emotional vacuum. More often than you might think, I hear variations of the same quiet confession:

“It should have been the best time of my life. But I felt lost after the exit. I lost my purpose.”

After running Wattpad for 15 years, I understand this all too well. It is like training for and running a marathon for over a decade, only to stop cold the day after the finish line. No more rhythm. No more momentum. No next mile.

Do I Miss Operating

Unsurprisingly, people often ask me:

“Do you like being a VC?”

“Do you miss operating?”

My honest answer is yes and yes

(but I get my fix without being a CEO — see below).

Being a founder and CEO was deeply challenging and also immensely rewarding. It is a role that demands a decade-long commitment to building one and only one thing. And while I loved my time as CEO, I did not feel the need to do it again. Once in a lifetime was enough. I have started three companies. A fourth would have felt repetitive.

What I missed most was not the title or the responsibility. It was the people. The team. The day-to-day collaboration with nearly 300 passionate employees when I stepped down. That sense of shared mission — of solving hard problems together — was what truly filled my cup.

Back in the Trenches in a Different Role

Now at Two Small Fish Ventures as an operating partner, I work with founders across our portfolio. I am no longer the operator inside the company, but I get to be their sounding board — helping them tackle some of the biggest challenges they face.

Let’s be honest: they call me especially when they believe I am the only one who can help them. Their words, not mine. And there have been plenty of those occasions.

That gives me the same hit of adrenaline I used to get from operating. At my core, I love solving hard problems. That part of me did not go away after my exit. I just found a new arena for it — and it is a perfect replacement.

A Playground for a Science Nerd

What people may not realize is that the deep tech VC job is drastically different from a “normal” VC job. As a deep tech VC, I am constantly stretched and go deep — technically, intellectually, and creatively. It forces me to stay sharp, push my boundaries, and reconnect with my roots as a curious, wide-eyed science nerd.

There is something magical about working with founders at the bleeding edge of innovation. I get to dive into breakthrough technologies, understand how they work, and figure out how to turn them into usable and scalable products. It feels like being a kid in a candy store — except the candy is semiconductors, control systems, power electronics, quantum, and other domains in the next frontier of computing.

How could I not love that?

Ironically, I had less time to indulge this curiosity when I was a CEO. Now I can geek out and help shape the future at the same time. It is a net positive to me.

You Do Not Have to Love It All

Of course, every job — including CEO and VC — has its less glamorous parts. Whether you are a founder or a VC, there will always be administrative tasks and responsibilities you would rather skip.

But I have learned not to resent them. As I often say:

“You do not need to love every task. You just need to be curious enough to find the interesting angles in anything.”

Those tasks are the cost of admission to being a deep tech VC. A small price to pay to do the work I love — supporting incredible entrepreneurs as they bring transformative ideas to life, and finding joy in doing so. And knowing what I know now, I do not think I would enjoy being a “normal” VC. I cannot speak for others, but for me, this is the only kind of venture work that truly energizes and fulfills me.

A New Season. A New Purpose.

So yes, being a VC brings me as much joy — and arguably even more fulfillment (and I am surprised that I am saying this) — than being a CEO. I feel incredibly lucky. And I am all in.

It feels like all my past experience has prepared me for what I do today. I often describe this phase of my life this way:

Wattpad was my regular season. TSF is my playoff hockey.

It is faster. It is grittier. The stakes feel higher. Not because I am building one company, but because I am helping many shape the future.

P.S. Go Oilers!!

Investing in Fibra: Revolutionizing Women’s Health with Smart Underwear

At Two Small Fish Ventures, we love backing founders who are not only transforming user behaviour but also unlocking new and impactful value. That’s why we’re excited to announce our investment in Fibra, a pioneering company redefining wearable technology to improve women’s health. We are proud to be the lead investor in this round, and I will be joining as a board observer. 

The Vision Behind Fibra

Fibra is developing smart underwear embedded with proprietory textile-based sensors for seamless, non-invasive monitoring of previously untapped vital biomarkers. Their innovative technology provides continuous, accurate health insights—all within the comfort of everyday clothing. Learning from user data, it then provides personalized insights, helping women track, plan, and optimize their reproductive health with ease. This AI-driven approach enhances the precision and effectiveness of health monitoring, empowering users with actionable information tailored to their unique needs. 

Fibra has already collected millions of data points with its product, further strengthening its AI capabilities and improving the accuracy of its health insights. While Fibra’s initial focus is female fertility tracking, its platform has the potential to expand into broader areas of women’s health, including pregnancy detection/monitoring, menopause, detection of STDs and cervical cancer and many more, fundamentally transforming how we monitor and understand our bodies.

Perfect Founder-Market Fit

Fibra was founded by Parnian Majd, an exceptional leader in biomedical innovation. She holds a Master of Engineering in Biomedical Engineering from the University of Toronto and a Bachelor’s degree in Biomedical Engineering from TMU. Her achievements have been widely recognized, including being an EY Women in Tech Award recipient, a Rogers Women Empowerment Award finalist for Innovation, and more.

We are thrilled to support Parnian and the Fibra team as they push the boundaries of AI-driven smart textiles and health monitoring. We are entering a golden age of deep-tech innovation and software-hardware convergence—a space we are excited to champion at Two Small Fish Ventures.

Stay tuned as Fibra advances its mission to empower women through cutting-edge health technology.

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.

Contrarian Series: Your TAM is Zero? We love it!

Note: One of the most common pieces of feedback we receive from entrepreneurs is that TSF partners don’t think, act, or speak like typical VCs. The Contrarian Series is meant to demystify this, so founders know more about us before pitching.

Just before New Year, I was speaking at the TBDC Venture Day Conference together with BetaKit CEO Siri Agrell and Serial Entrepreneur and former MP Frank Baylis.

When I said “Two Small Fish love Zero TAM businesses,” I said it so matter-of-factly that the crowd was taken aback. I even saw quite a few posts on social media that said, “I can’t believe Allen Lau said it!”

Of course, any business will need to go after a non-zero TAM eventually. But hear me out.

Here’s what I did at Wattpad: I never had a “total addressable market” slide in the early days. I just said, “There are five billion people who can read and write, and I want to capture them all!”

Even when we became a scaleup, I kept the same line. I just said, “There are billions of people who can read, write, or watch our movies, and I want to capture them all!”

Naturally, some VCs tried to box me into the “publishing tool” category or other buckets they deemed appropriate. But Wattpad didn’t really fit into anything that existed at the time. Trust me, I tried to find a box I would fit in too, but none felt natural.

Why? That’s because Wattpad was a category creator. And, of course, that meant our TAM was effectively zero.

In other words, we made our own TAM.

Many of our portfolio companies are also category creators, so their decks often don’t have a TAM slide either.

Yes, any venture-backed company eventually needs a large TAM. And, of course, I don’t mean to suggest that every startup needs to be a category creator.

That said, we’re perfectly fine—in fact, sometimes we even prefer—seeing a pitch deck without a TAM slide. By definition, category creators have first-mover advantages. More importantly, category creators in a large, winner-take-all market—especially those with strong moats—tend to be extremely valuable at scale and, hence, highly investable.

So, founders, if your company is poised to create a large category, skip the TAM slide when pitching to Two Small Fish. We love it!

P.S. Don’t forget, if you have an “exit strategy” slide in your pitch deck, please remove it before pitching to us. TYSM!

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.

Masterclass Series: Use This Framework to Move Fast and Make High-Quality Decisions

In many companies, the bottleneck isn’t necessarily in the execution of decisions. The real bottleneck is the excessive time people waste making decisions.

When I was Wattpad’s CEO, everyone in the company knew I had a simple 2×2 framework to empower the whole team to make fast, high-quality decisions – all by themselves!

The essence of this framework comes down to two questions:

• Is this decision reversible?

• Is this decision consequential?

These two factors create four types of decisions:

1. Reversible and inconsequential

2. Reversible and consequential

3. Irreversible and inconsequential

4. Irreversible and consequential

Examples of Each Type

1. Reversible and Inconsequential

This actually makes up the bulk of decisions in a company:

• Internal Slack messages? Delete them if you don’t like them.

• Marketing team’s benign social media copy? Remove the post if it doesn’t work.

• Small typo like the one in the above image? Yes, I purposely left the typo there. I look sloppy, but I could silently replace it with a better one when I have time.

• Small bugs in the product? If a bug fix causes other problems, revert the changes.

The list goes on. The trick is to empower each person in the company to make these decisions independently. I reinforced the same message to the Wattpad team over and over again:

From the most junior interns to the most senior leaders—you’re empowered to make the call all by yourself.

No boss to ask. No approval process. Just do it!

The company moves fast when most decisions don’t require a meeting!

2. Irreversible and Inconsequential

Here’s an example:

At one point, we ran out of space at Wattpad’s Toronto HQ and needed overflow space. We found a small office—just a few hundred square feet with a couple of meeting rooms—in the building right next door. The location was perfect, but the space itself? Just okay.

The problem was the lease—it was relatively long. Once we signed, we couldn’t back out. That limited our flexibility (irreversible), but we knew that if we needed more room, we could always find another expansion space. The cost was small in the grand scheme of things (inconsequential).

Given our growth, there was little downside to signing the lease. So we moved fast, signed the deal, and moved on to the next item on the to-do list.

For this type of decision, you can still move fast. Just be careful—double-check the lease for any hidden “gotchas.” It’s not about if we sign or not. We will sign, but we just want to make sure the bases are covered before we do.

You’d be surprised how much time people waste on indecision. Just make the call and do the due diligence!

3. Reversible and Consequential

A perfect example? A big product release.

Sonos’ poorly executed product release is a great case study. (See my blog post Masterclass Series: Complete Redesign That Actually Works for all the details.)

When done properly, product releases can be very consequential but still reversible. At Wattpad, we released high-risk software all the time—but always with a way to roll back if things didn’t work.

We knew how to press the undo button!

For these kinds of decisions, move fast and make the call—but monitor the outcome and always be ready to press undo.

Important: How to Increase the Quality of These Decisions

For both Irreversible and Inconsequential decisions and Reversible and Consequential decisions, always ask:

Is there any way to make this decision more reversible or less consequential?

If you can tweak the decision to minimize fallout—no matter how small—do it. It will save time and stress down the road.

4. Irreversible and Consequential

Many of these are leadership-team-level or CEO-level decisions.

They’re rare but also the hardest to make. They require a lot of context, consideration, and, sometimes, choosing between two bad options. Occasionally, you get a good one and choose between a few great choices.

The ultimate example for me?

Whether to take the company public, maintain the status quo and keep going, or accept an acquisition offer.

You all know the decision I made.

Sometimes, knowing which quadrant a decision falls into is an art. But imagine if we didn’t have this framework—slow decision-making would have ground the company to a halt.

The key to moving fast isn’t just execution—it’s deciding fast, too.

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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.


After All, What’s Deep Tech?

“Deep Tech” is one of those terms that gets thrown around a lot in venture capital and startup circles, but defining it precisely is harder than it seems. If you check Wikipedia, you’ll find this:

Deep technology (deep tech) or hard tech is a classification of organization, or more typically a startup company, with the expressed objective of providing technology solutions based on substantial scientific or engineering challenges. They present challenges requiring lengthy research and development and large capital investment before successful commercialization. Their primary risk is technical risk, while market risk is often significantly lower due to the clear potential value of the solution to society. The underlying scientific or engineering problems being solved by deep tech and hard tech companies generate valuable intellectual property and are hard to reproduce.

At a high level, this definition makes sense. Deep tech companies tackle hard scientific and engineering problems, create intellectual property, and take time to commercialize. But what do substantial scientific or engineering challenges actually mean? Specifically, what counts as substantial? “Substantial” is a vague word. A difficult or time-consuming engineering problem isn’t necessarily a deep tech problem. There are plenty of startups that build complex technology but aren’t what I’d call deep tech. It’s about tackling problems where existing knowledge and tools aren’t enough.

In 1964, Supreme Court Justice Potter Stewart famously said, “I know it when I see it” when asked to describe his test for obscenity in Jacobellis v. Ohio. By no means am I comparing deep tech to obscenity—I don’t even want to put these two things in the same sentence. However, there is a parallel between the two: they are both hard to put into a strict formula, but experienced technologists like us recognize deep tech when we see it.

So, at Two Small Fish, we have developed our own simple rule of thumb:

If we see a product and say, “How did they do that?” and upon hearing from the founders how it is supposed to work, we still say, “Team TSF can’t build this ourselves in 6–12 months,” then it’s deep tech.

At TSF, we invest in the next frontier of computing and its applications. We’re not just looking for smart founders. We’re looking for founders who see things others don’t—who work at the edge of what’s possible. And when we find them, we know it when we see it.

This test has been surprisingly effective. Every single investment we’ve made in the past few years has passed it. And I expect it will continue to serve us well.

P.S. If you enjoyed this blog post, please take a minute to like, comment, subscribe and share. Thank you for reading!

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.

How We Built a Truly Global Powerhouse with 100 Million Users

Most people don’t realize just how global Wattpad’s business is. Here are a few fun facts:

• Only 25% of our 100 million users are from North America, while 25% come from LATAM, 25% from Europe, and 25% from Asia.

• Of the 50 languages on Wattpad, the most popular isn’t English—it’s Spanish. Other widely used languages include Bahasa Indonesia (10 million users) and Tagalog (6 million users), with millions more reading and writing in Italian, French, German, Portuguese, Vietnamese, and many others.

• Not only have our print books (yes, we’re a book publisher too) been New York Times bestsellers, but they’ve also hit #1 in multiple countries, including Germany and Colombia.

• #1 on Netflix globally and other streaming platforms? We’ve done that many times—including the Spanish smash hit A Través De Mi Ventana (Through My Window), which we co-produced with Netflix. Many #1-rated TV shows worldwide are based on Wattpad stories—and we co-produce them.

• #1 at the box office? We’ve achieved that in multiple countries as well.

How did we build this?

A lot of things made this happen, but I’ll highlight a few. It started on day one. Here’s a screenshot of our website when we launched in 2006.

Notice that we already supported many key languages worldwide. Why? Because only about 400 million people speak English as their first language—that’s less than 5% of the world’s population.

And we were right! The first language that took off wasn’t something we predicted—it was Vietnamese. We couldn’t have guessed that!

When the first Android phone came out (the T-Mobile G1), we were one of the first to support it. At that time, the iPhone was primarily a high-GDP country phenomenon, while low-GDP countries were dominated by $30 Android phones. When I travelled to these regions, I frequently brought back bags of inexpensive phones so our team could test and ensure our app worked on low-end devices. This allowed us to dominate globally.

When we raised growth capital, we didn’t just seek funding from Silicon Valley investors—we broadened our investor base to include backers from other countries. This helped us learn the nuances of international expansion while gaining support from investors who understood these markets.

When we launched subscriptions, we recognized that a one-size-fits-all model wouldn’t work. Some countries preferred à la carte purchases over all-you-can-read models. So, we introduced our own virtual currency, allowing users to buy content à la carte.

When we expanded into movies and TV shows, we didn’t just partner with Hollywood studios—we forged partnerships with entertainment companies across five continents. This ensured Wattpad story adaptations could be seen everywhere.

And the list goes on.

None of this happened automagically. It took years of conscious, deliberate effort. But once we built the foundation, expanding into new countries became incremental. There’s no free lunch, but it’s also not rocket science—it got easier and easier as we grew.

We built a truly global powerhouse with 100 million users.

If we could do it, you can too.

Choosing between the U.S. and international expansion is a false dichotomy—you can do both. As the world shifts toward intangible assets, building a global business is easier than ever.

Keep in mind that while the U.S. is the largest economy, it only accounts for approximately 26% of the world’s GDP. To create true optionality, not expanding globally—especially beyond the U.S.—is not an option.

Our experience in building a successful global business also allows us to help our portfolio companies scale internationally. We’ve been through the challenges of global expansion firsthand, and we actively share these insights to support the next generation of world-changing companies. Reach out to us if you want to be part of it!

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.

AI Has Democratized Everything

This is the picture I used to open our 2024 AGM a few months ago. It highlights how drastically the landscape has changed in just the past couple of years. I told a similar story to our LPs during the 2023 AGM, but now, the pace of change has accelerated even further, and the disruption is crystal clear.

The following outlines the reasons behind one of the biggest shifts we identified as part of our Thesis 2.0 two years ago.

Like many VCs, we evaluate pitches from countless companies daily. What we’ve noticed is a significant rise in startups that are nearly identical to one another in the same category. Once, I quipped, “This is the fourth one this week—and it’s only Tuesday!”

The reason for this explosion is simple: the cost of starting a software company has plummeted. What once required $1–2M of funding to hire a small team can now be achieved by two founders (or even a solo founder) with little more than a laptop or two and a $20/month subscription to ChatGPT Pro (or your favourite AI coding assistant).

With these tools, founders can build, test, and iterate at unprecedented speeds. The product build-iterate-test-repeat cycle is insanely short. If each iteration is a “shot on goal,” the $1–2M of the past bought you a few shots within a 12–18 month runway. Today, that $20/month can buy you a shot every few hours.

This dramatic drop in costs, coupled with exponentially faster iteration speeds, has led to a flood of startups entering the market in each category. Competition has never been fiercer. This relentless pace also means faster failures, and the startup graveyard is now overflowing.

For early-stage investors, picking winners from this influx of startups has become significantly harder. In the past, you might have been able to identify the category winner out of 10 similar companies. Now, it feels like mission impossible when there are hundreds—or even thousands—of startups in each category. Many of them are even invisible, flying under the radar for much longer because they don’t need to fundraise.

Of course, there will still be many new billion-dollar companies. In fact, I am convinced that this AI-driven platform shift will produce more billion-dollar winners than ever—across virtually every established category and entirely new ones that don’t yet exist. But by the law of large numbers, spotting them among thousands of startups in each category is harder than ever.

If you’re using the same lens that worked in the past to spot and fund these future tech giants, good luck.

That’s why, for a long time now, we’ve been using a very different lens to identify great opportunities with highly defensible moats to stay ahead of the curve. For example, we’ve been exclusively focused on deep tech—a space where we know we have a clear edge. From technology to product to operations, we have the experience to cover the full spectrum and support founders through the unique challenges of building deep tech startups. So far, this approach has been working really well for us.

I guess we are taking our own advice. As a VC firm, we also need to be constantly improving and striving to be unrecognizable every two years!

There’s no doubt the rules of early-stage VC have shifted. How we access, assess, and assist startups has evolved dramatically. The great AI democratization is affecting all sectors, and venture capital is no exception.

For investors who can adapt, this is a time of unparalleled opportunity—perhaps the greatest era yet in tech investing. The playing field has been levelled, and massive disruption (and therefore opportunities) lies ahead. Incumbents are vulnerable, and new champions will emerge in each category – including VC!

Investing during this platform shift is both exciting and challenging. And I wouldn’t want it any other way, because those who figure it out will be handsomely rewarded.

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.

The Three Phases of Building a Great Tech Company: Technology, Product, and Commercialization

There are three distinct phases in the journey of building a great tech company: technology, product, and commercialization. These phases are sequential yet interconnected and sometimes overlap. Needless to say, mastering each is critical to the company’s eventual success. However, it’s important to recognize their differences.

• Building technology is about founders creating what they love. It’s driven by passion and expertise and often leads to groundbreaking innovations.

• Building a product is about creating something others love to use. This is where usability and solving real problems come into focus.

• Commercialization is about building something people will pay for and driving revenue. This phase transforms users into paying customers or finds someone else to pay for it, such as advertisers.

These phases are related but distinct. Great technology doesn’t guarantee anyone will use it, and a widely-used product doesn’t always lead to revenue. I’ve seen many technologists create incredible technologies no one adopts, as well as popular products that fail to commercialize effectively (though it’s rare for a product with tens of millions of users to fail entirely).

For deep tech companies, these phases often have minimal overlap and unfold sequentially. The technology might take years to develop before a usable product emerges, and commercialization may come even later.

In contrast, shallow tech B2B SaaS products often see complete overlap between the phases. For example, a subscription model is typically apparent from the outset, and the tech, product, and commercialization phases blend seamlessly.

Wattpad is also a good example of how these phases can play out differently. Initially, we built our technology and product hand in hand, creating a platform loved by millions of users. However, its commercialization—whether through ads, subscriptions, or movies, the three revenue models we had—was deliberately delayed. Many people assumed we didn’t know how to make money without understanding this counterintuitive approach (but of course, we purposely kept some of our strategies under wraps). This approach allowed us to use “free” as a potent weapon to dominate—and eliminate—our competitors in a winner-takes-all strategy. Operating for years with minimal revenue was clearly the right decision for the market dynamics and our long-term goals. More on this in a separate blog post.

Given this variability, asking, “What is your revenue?” must be thoughtful and context-specific. For some companies, the absence of revenue may be an intentional and brilliant strategy. For others, insufficient revenue could signal serious trouble. It all depends on the company’s stage, strategy, and goals. Understanding the sequence, timing, and specific needs of a business model is crucial for both investors and entrepreneurs. Zero revenue could be a blessing in the right context. On the other hand, pushing for revenue growth—let alone the wrong type of revenue growth—can be fatal, a scenario we’ve seen many times.

At Two Small Fish Ventures, we are very thoughtful and experienced investors. We understand that starting to generate revenue—or choosing not to generate revenue—at the right time is one of the secrets to success that very few people have mastered. We practise what we preach. Over the past two years, all but one of TSF’s investments have been pre-revenue.

No revenue? No problem. In fact, that’s great. Bring them on!

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.

Our Secret to Finding 100x Opportunities

In previous blog posts (here and here), I’ve delved into the mathematical model for constructing an early-stage VC portfolio designed to achieve outsized returns. In short, investing early to build a concentrated portfolio of fewer than 20 moonshot companies, each with the potential for 100x returns or more, is the way to go.

The math is straightforward—it doesn’t lie. Not adhering to this model can significantly reduce the likelihood of achieving exceptional returns.

However, simply following this model is not enough to guarantee outsized results. Don’t mistake correlation for causation! The real challenge lies in identifying, evaluating, and supporting these “100x” opportunities to help turn their vision into reality.

At TSF, we use a simple framework to evaluate whether a potential investment can meet the 100x criteria:

10x (early stage) x 10x (transformative behaviour) = 100x conviction

The first “10x” is straightforward: We invest when companies are in their earliest stages. For instance, over the past two years, all but one of TSF’s investments have been pre-revenue. This made financial analysis simple—those spreadsheets were filled with zeros!

Many of these companies are also pre-traction. While having traction isn’t a bad thing, savvy investors shouldn’t rely on it for validation. The reason is simple: traction is visible to everyone. By the time it becomes apparent, the company is often already too expensive and out of reach.

At TSF, we have a unique advantage. Before transitioning to investing, all TSF partners were engineers, product experts, successful entrepreneurs, and operators—including a “recovering CEO”—that’s me! Each partner brings distinct domain expertise, collectively creating a broad and deep perspective. This allows us to invest only when we possess the domain knowledge needed to fully evaluate an opportunity. We “open the hood” to determine whether the technology is genuinely unique, defensible, and disruptive, or whether it is easily replicable. If it’s the latter, we pass quickly. A strong, defensible tech moat is a key criterion for us. This approach means we might pass on some promising “shallow-tech” opportunities, but we’re very comfortable with that. After all, we believe the best days of shallow tech are behind us.

Maintaining a concentrated portfolio allows us to commit only to investments where we have unwavering conviction. In contrast, a large portfolio would require us to find a large number of 100x opportunities and pursue those we might not fully believe in. Frankly, I wouldn’t sleep well if we took that route. This route would also make it difficult to provide the meaningful, tailored support we’ve promised our entrepreneurs (more on that in a future post). 

When evaluating product potential, we look beyond the present. At TSF, we assess how a technology might reshape the landscape over the next decade or more. We start by understanding the intrinsic needs of the user and envision how a product could fundamentally change customer or end-user behaviour. This is crucial: if a product that addresses a massive opportunity has a strong tech moat, first-mover advantages, and the ability to change behaviour while facing few viable alternatives, it can unlock significant new value and create a defensible, category-defining business.

This often translates into substantial commercialization potential. If we can foresee how the product might evolve into adjacent markets (its second, third, or even fourth act) with almost uncapped possibilities, we achieve the “holy trinity” of tech-product-commercialization potential—forming the second 10x of our conviction.

Here’s how we describe it:

Two Small Fish Ventures invests in early-stage products, platforms, and protocols that transform user behaviour and empower businesses and individuals to unlock new, impactful value.

This thesis underpins our investment decisions and ensures that each choice we make aligns with our long-term vision for transformative innovation.

While this framework may sound simple, executing it well is extremely difficult. It requires what I call a “crystal ball” skill set that spans the full spectrum of entrepreneurial, technical, product, and operational backgrounds.

Over the past decade, we’ve built a portfolio of more than 50 companies across three funds. By employing this approach, the entrepreneurs we’ve supported have achieved numerous breakout successes. This post outlines our “secret sauce,” and we will continue to leverage it.

As you can see, early-stage VC is more art than science. To do it well requires thoughtfulness, insight, and the ability to envision the future as a superpower. It’s challenging but incredibly rewarding. I wouldn’t trade it for anything.

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.

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.

Masterclass Series: Unrecognizable Every Two Years

In 2006, Wattpad started as a simple mobile reading app, mainly for classic books. Fifteen years later, it evolved into a global, AI-powered, multi-platform entertainment company with numerous blockbusters before being acquired.

As you can imagine, my role as CEO at the start of Wattpad—when it was just the co-founders and a few hundred users—was drastically different from leading a team of hundreds of employees and overseeing a platform with 100 million users.

A Typical Entrepreneur’s Evolution

In the early years, the founders focused solely on building a product and finding product-market fit, with little thought given to the business side. At this stage, the CEO is the engineer writing code, the product manager, and the product visionary, all rolled into one.

As traction builds and product-market-fit comes into sight, the CEO’s role begins to shift. Suddenly, hiring becomes a priority, and managing people and operations takes center stage. The CEO goes from being a product builder to a hiring and people manager who leads a small, close-knit team and handles the operations that come with it.

Fast forward another phase, and the company is growing even faster. Now, the CEO is no longer just a manager but the manager of managers, responsible for hiring leaders who can build and lead their own teams. Communication becomes an even more critical skill, as the CEO now leads a much larger team—many of whom don’t frequently interact with the CEO. Business models become increasingly crucial, and new tasks, like fundraising, take on greater importance.

As growth continues, the CEO’s role shifts yet again, this time to hiring leaders of leaders—or even leaders of leaders of leaders. Now, the CEO is juggling closing million-dollar sales with key customers, navigating strategic partnerships, working with the CFO to manage finances at scale, media interviews, building the brand, international expansion, raising capital from large institutional investors, and, of course, leading hundreds or thousands of employees. The skill set required here is worlds apart from that of the early days of coding and prototyping.

Entrepreneurship Is Constant Reinvention

Each phase of a company’s growth requires a radically different skill set: moving from building the idea to scaling a product, building the team, leading a large organization, and eventually creating a profitable business. The entrepreneur evolves from crafting the “secret sauce” to building a factory to mass-produce it.

I have yet to meet an entrepreneur who possessed all these skills from the start. The journey demands constant learning—whether it’s coding, product design, finances, fundraising, marketing, sales, or leadership.

I can testify to this: there were numerous times when I thought the company was a well-oiled machine. Six months later, things would feel like they were falling apart. It wasn’t because I had messed up, but because the environment had changed drastically in such a short time. I had to keep upping my game to keep pace with the company. I am completely different from—and better than—the version of myself a decade ago—and not just once, but many times over.

As an entrepreneur, be prepared. As your company scales, you’re effectively getting a new job every few months. This journey is thrilling and challenging, and filled with lifelong learning and self-improvement.

The Biggest Takeaway

And yet, the most important product you’re building isn’t your company’s product. It isn’t even the company—it’s yourself.

If, every two years, you’re not almost unrecognizable from your former self, you’re not growing fast enough, and you will be left behind by your own fast-growing company.

This takeaway isn’t just for CEOs. It applies to anyone working at a fast-scaling company and to anyone with a growth mindset. If you get this right, everything else will follow, and you’ll be in good shape. From my experience, this is one of the most crucial mindset-building tools you can have.

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.

Contrarian Series: Contrarian Bets

In the early 2010s, when Wattpad began raising capital from Silicon Valley, Valley VCs didn’t ask me ‘if’ I would move the company or open a second office there; they asked ‘when.’ They argued that Toronto lacked great product people and scale-up leaders, although we had top engineering talent. At that time, it was common for Valley VCs to ask non-Valley companies to move to the Valley as a condition for funding.

But I told them, ‘I won’t move.’

While their argument had a point, Valley VCs failed to see my “big-fish-small-pond” advantages. I don’t need to hire a million great people. After raising one of the largest funding rounds by a Canadian-based company at the time, I was absolutely sure we could hire “enough” great people to help us build a world-class company based in one of the most populous metropolises in North America called Toronto. Paradoxically, it could even work to our advantage. As one of Toronto’s biggest fish, we could hire the best. I couldn’t say the same thing if we moved to the Valley. Besides, building a company culture with a single office location was much easier.

It was a contrarian bet that few people saw, but it was so obvious to me. In hindsight, it was clear that it was the right call.

It all worked well until it didn’t. While the Toronto ecosystem went from strength to strength during the 2010s, it also meant that the talent competition became very fierce towards the end of the decade. The small pond became a much bigger pond, and there were a lot of big fish in it, including many Valley-based companies setting up shops here.

The tipping point for me was when someone bought the old building next to Wattpad HQ. Initially, we had no idea who wanted to turn it into an office tower until Google announced that it would hire a few thousand people. Where? Right next to Wattpad HQ.

My first-mover advantage has eroded. I had to figure out a new plan to regain my big-fish-small-pond advantage.

My solution was to establish a second HQ in a less populous city with a thriving tech ecosystem and an abundance of post-secondary institutions, where we could be the big fish again and have enough talent to enable us to continue to grow rapidly. It had to be a Canadian city because I wanted a few existing Wattpad employees to relocate there to help us “seed” the culture. It was far harder for me to pull it off if it was cross-border.

I toured around the country. I was impressed by what I saw. There were a handful of cities that met our criteria. I knew we could make it work.

At that time, I was already very familiar with Halifax, having been involved in the local ecosystem for a while. While there, I took advantage of the opportunity to grab dinner with Jevon McDonald, whom I had known for a few years. Nothing compares to talking to a local guru.

Jevon gave me the rundown of all the nuances I couldn’t find on Google search. But when I asked him to name one thing that he didn’t like about Halifax, this was our conversation:

Jevon: “I have a few employees in San Francisco. Going there is very painful as I have to catch a 5am flight to connect through Toronto first.”

Me: “So, there is no direct flight from Halifax to SF?”

“Nope.”

“Great!”

“What?!”

It’s a short flight between Toronto and Halifax. There are numerous daily flights between the two cities, so day trips are super easy. However, the lack of direct flights to the Valley means Valley-based companies won’t show up any time soon. An unfair disadvantage became my unfair advantage. The lack of direct flights became my talent moat.

The rest is history. Wattpad established its second HQ in Halifax. We hired a lot of fantastic people there. I have been the biggest champion of Atlantic Canada ever since, as I have encouraged other Toronto-based companies to do the same.

It was another contrarian bet that few people saw, but it was so obvious to me. It was the right call.

These are just a couple of examples. There were many more that Wattpad did, like establishing a movie studio or investing in something unproven called AI more than a decade ago.

Similarly, some of our best investments in Two Small Fish Ventures, such as Sheertex or BenchSci, had a very tough time raising capital early on because very few people saw what we saw.

Of course, I am not suggesting that one should be contrarian for the sake of being contrarian. But when a contrarian bet results in a first-mover advantage in a big opportunity that no one else saw, that will almost always generate an amazing outcome with outsized returns.

Don’t tell anyone.

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.

It’s The Final Curtain Call. A New Story Begins.

After spending 15 years at the helm of Wattpad, today I am starting a new role as Executive Advisor to the WEBTOON family of brands. That’s right, I’m stepping aside as CEO of Wattpad to apply my experience and skills to this new role alongside my other activities as an investor and board member.

As I reflect on the journey of building Wattpad over the years I am amazed at what I’ve accomplished together with my co-founder Ivan Yuen and the entire Wattpad team.

What started as a place to read and write stories on your mobile device, has grown into a product and community loved by close to 100 million people.

We pioneered storytelling technology, changed how people read, write and engage with fictional stories, and transformed the entertainment and publishing industries. Leveraging our massive built-in fandoms and data, we turned numerous top Wattpad stories into hit movies, TV shows, and bestselling books. These movies and shows have topped the box office and ‘most watched’ charts on streaming services, gone on to win Teen Choice Awards, a People’s Choice Award, and even received Emmy nominations, and all have changed the lives of a new generation of creators. It’s been an honour and privilege to democratize who gets to tell their story and redefine how the world reads and shares fiction.

We raised record amounts of capital at the time from top-tier investors in Canada, US, and Asia. We were one of the first to commit to scaling our company in Toronto and then successfully proved you could build a world-class tech company here. We played a part in re-shaping the overall narrative of the innovation ecosystem in Canada.

These are the things you simply don’t think about when you’re starting out, writing code, and bringing an idea to life. To say I am incredibly proud is an understatement.

The past year was record-breaking for Wattpad. Since the acquisition – one of the largest for a Canadian technology company – we have never grown faster. With the Grand Plan in place, it’s the perfect time to pass the baton to Wattpad President Jeanne Lam and Wattpad WEBTOON Studios’ President Aron Levitz in leading the team to achieve the vision. With such strong leaders, Wattpad is in great hands.

I’ve always been a natural builder and I will continue to help build the “next big thing” as Executive Advisor to WEBTOON, as a venture partner of Two Small Fish Ventures, and board member of two of Canada’s most important cultural and innovation organizations, the Toronto International Film Festival and MaRS.

It has been a life-changing 15-year journey for me, my family, the Wattpad team, and millions of Wattpadders around the world. Thanks for all your support. Thanks for sharing all the emotions. Thanks for all the wonderful times and good memories. Thanks for being here with me. I can’t say thank you enough.

Calling this a new chapter or the next season would be a misnomer – it’s the final curtain call of my career as a CEO. But I’m not done yet! I’m still at the top of my game. I’m still hungry for more wins. I still want to make an even bigger impact. My new story begins today.

Strategic Partners Turn Your Vision Into Reality Faster Than You Can

A few months ago, Wattpad announced a partnership with Anvil Publishing in the Philippines. Together, we’re launching Bliss Books, a new Young Adult imprint that’ll bring some of the biggest Wattpad stories and authors to bookshelves across the country. 

The news means Wattpad can realize the vision I laid out in the Master Plan much, much faster. But really, speed is just one of the values a strategic partner brings to the table.

Anvil also has deeper insights into local purchasing habits and consumer behaviour than we do. The first part of the Master Plan is to “Discover more great stories,” and we do this by leveraging our Story DNA machine learning technology and a passionate community to find unique voices and amazing stories that are validated in Tagalog. With their local insights, Anvil can corroborate our insights using their local knowledge to guarantee a successful adaptation. 

The best strategic partners also have a reputation you can piggy-back off of. Another element of the Master Plan is ‘Turn these stories into great movies, TV shows, print books, etc.,” Anvil has a reputation for publishing high-quality books, and that’s exactly what we want to do. 

Anvil is the publishing arm of the National Book Store with hundreds of bookstores. It’s established presence means we – through NBS – have the ability to distribute Wattpad books to every practically every part of the country tying into another key part of the Master Plan to “Distribute and monetize content on and off Wattpad and earn money for storytellers.” 

The Philippines is one of Wattpad’s largest markets and a very important one since its home to some of our most passionate users. Plus, when you factor in the expertise and reach of Anvil, it was an easy decision to partner with this local company who can help us continue to celebrate and reward Filipino authors and their fans. 

Entrepreneurs: if you have the ability to form a partnership with another complementary company, seize it. The strategic upside is great and may help you realize your vision faster than you ever could alone.  

The other thing managers should remember

When I first became a manager, one thing that was extremely difficult for me to get used to was delegation. When an employee gets promoted to manager, and even after they realize they now have a different and distinct role, it can be hard to let go of the day-to-day work.

Why? In many cases, the person who gets promoted to a leadership or a manager position is someone who is an awesome individual contributor. To be an awesome IC, you need to be very good at getting stuff done.

But as a leader or a manager, you need to focus on asking other people to get stuff done.

You need to make sure your team is working on the right stuff to achieve desired outcomes. As a manager, you can’t do the work of other ICs – it no longer in your job description.

This is counter-intuitive and crazy hard because it is the polar opposite of what awesome ICs know so well.

Speaking from experience, when a leader does the work of an IC it can be very demotivating and become counterproductive. On the other hand, when a manager delegates the work and trusts individuals to get the job done it can be very motivating.

As a leader, you should remember that it is far better for you to focus on figuring out what your ICs should do (and why), and let the ICs figure out how to get the job done (and then, do it).

The one thing new managers forget

I first started managing people when I was 26. Four years later, I was managing a team of 30 developers. On paper, I was fantastically successful; in reality I should have fired myself.

At the time, I thought that in order to lead a team of awesome developers, I had to be an even more awesome developer. I worked frantically to write more code than anyone else not realizing that I accepted a new job the moment I was promoted – and writing code wasn’t it.

It’s something that almost all new managers forget. Being a manager isn’t a glorified version of your old job: it’s a brand new and completely different role. It requires a different skill set and attitude. As a manager, your responsibility is to ensure your team works on the right things at the right pace to deliver the right outcomes.

In my 30s, without any management or leadership training under my belt, I didn’t have a clue how to direct such a sizeable team. As a newbie manager I made mistakes and added further complexity to an already chaotic organization. It was only years later when I truly realized how my lack of leadership contributed to the chaos. I still cringe thinking about it.

I’m not proud of those mistakes, but I learned a lot from them. My biggest takeaway was that being a manager isn’t about rolling up your sleeves and working alongside your team (although there are times when this matters); it’s about understanding where your organization wants to go and deploying your team and resources to get you there.

If you’re a new manager who’s still doing the same work as before, step back and delegate. And, congratulations on your new job.

5 tips for better meetings people will actually want to attend

Over the years I’ve attended thousands of meetings. The best ones respected my time and input. They kept me engaged – and often excited – throughout the meeting.  And the worst ones … well, I’m pretty sure we’ve all attended at least a few terrible meetings and know what that’s like.

Having seen the good and the bad, I wanted to share some simple tips that anyone, at any level, can implement for more effective meetings.

Go beyond the agenda
Yes, circulating a clear agenda prior to the meeting is important, but also consider explicitly spelling out the objective and the outcome of the meeting. It gives participants the right context to prepare for and be fully engaged during the meeting (or decline the meeting if they can’t help meet the objectives/outcomes).

Nominate a facilitator
This person makes sure the agenda is followed and desired outcomes are met. They empower all participants to contribute and get the group back on track if the conversation goes awry. Facilitating meetings is a special skill and not everyone is good at it but if you find the right person, you are practically guaranteed a great meeting. Keep in mind that the meeting organizer doesn’t have to be the facilitator.

Limit participants
Keep meetings participants to 4-7 people maximum. In my experience this really is the sweet spot. Beyond 8 participants, the introverts in the group tend to shy away from voicing their opinions (a good facilitator, though, can help draw out their perspectives and ensure introverts have a voice).

Forget the update
Don’t use a meeting to provide or ask for updates. Save it for email, or better still a collaborative Google Doc. Share these updates in advance of the meeting as pre-reading material so you can focus the discussion on healthy debates and decision making.

Save 10
Use the last 10 minutes of the meeting to recap the discussion. This is crucial. You’ve just spent the last hour having a productive discussion, it would be a shame for it to fall apart in the follow-up. Make note of the essence of the discussion, key decisions made and actions to take. Be sure to share these notes with all attendees and other stakeholders who couldn’t join.

Slight tweaks to the way organize your meetings can have a profound impact. Know of any other hacks to make meetings more effective?  Let me know in the comments.

The Evolution of an Entrepreneur

Years ago, a summer job gave me one of the most valuable lessons in entrepreneurship.

I needed tuition money for university so I got a job at a factory printing t-shirts. I witnessed firsthand how the owner juggled multiple and often diverse tasks in order to operate a successful business. Looking back, I was naive to think that a t-shirt printing company was just about printing t-shirts.

If you look at the journey of an entrepreneur, it all starts with an idea. But an idea is just that – a thought. Without execution, an idea is as good as yesterday’s newspaper. Only when execution follows an idea, can you determine if there’s product-market fit. If you achieve product-market fit – congratulations, that’s a major accomplishment! You can start a company to further iterate on the idea and cement your place in the market. But once you start a company, you have to turn it into a business.

I’ve personally gone through this journey three times. My first business failed, I sold the second one, and the third has become one of Canada’s most successful startups. My experiences failing and succeeding as an entrepreneur reinforced the lesson I learned that summer many years ago: As an entrepreneur, the best product you can build is yourself.

You will wear many hats throughout the entrepreneur journey. As your company grows, you play different roles in the company and you can expect to change ‘jobs’ every few months. Each new job requires a different skill set. You may start as the product designer, but soon you’ll lead a team as a manager, and then eventually you transition into a leadership role.  I have yet to meet a single person who, at the launch of their company, has every required skill. So welcome continuous learning and crave self-improvement.

Taking the time to build yourself as a well-rounded entrepreneur will pay dividends.