By Adam Castle, Director of Venture Services & Partnerships, WEtech Alliance
Enabling independence
In 2026, there’s a particular kind of conversation I’ve been having with almost every new software forward B2B founder I’ve connected with.
It usually starts with something like, “We’ve built something people actually want.”
Then comes, “But we’re stuck.”
These are founders just starting out, without a trove of resources from previous exits or a lot of extra capital, in the Canadian startup ecosystem where Seed funding requires revenue traction first. Some are building their first company. Some are coming back around for another attempt, a little wiser and a little more articulate. They’re trying to bring something new into the world at a moment when doing so feels both more possible and more unforgiving than it has in a long time.
I’ve worked with entrepreneurs across Canada and internationally, and what’s emerging here feels distinct. There’s no shortage of talent or creativity, or big problems to solve. There is also demand, at least on paper. But there’s a widening gap between early momentum and commercial readiness, and I see a lot of founders falling straight into it.
In Canada especially, I’m seeing founders caught in a familiar bind. They’re too early for most funding. Too unproven for customers to take a big risk. Too far along to be treated as an idea. And without deep personal savings or a strong technical co-founder, the jump from prototype to product can feel almost impossible.
What’s changed is how quickly you can get to that first step.
It has never been easier to build an MVP. Concise AI assistants, agents, low-code tools, and design platforms have dramatically lowered the barrier to entry. A motivated founder can go from concept to something functional in weeks, sometimes days. That’s an amazing shift, and it’s a good one. It has opened the door to innovation-driven entrepreneurship to people who would never have been able to prototype before.
But that same speed has created a new kind of fragility in our ecosystem. If you don’t have deep technical skills yourself, or someone on your team who does, you can hit a ceiling fast. Vibe-coded prototypes and AI-assisted MVPs are great for learning, testing, and telling a story. They’re often not enough to withstand real users, enterprise buyers, regulatory requirements, cyber-security pressures, or scale.
Founders hit a wall when the conversation shifts from curiosity to potential adoption. From “This is interesting.” to “Can this actually run here?”
Bridging that gap takes time, money, and technical depth. And from my vantage point, those are exactly the things early founders are most constrained on right now.
The distance between idea and imitation
Layered on top of that is another pressure that I’m just starting to see emerge as a main topic of conversation in the global tech space. The same tools that let you move quickly are also allowing everyone else to move quickly. The distance between idea and imitation has collapsed almost completely in the world of software. Because AI can be so efficient, many buyers are ditching SaaS all together for in-house built automations and custom agentic solutions.
This is where the traditional idea of building a “moat” starts to go from an alligator-filled pit surrounding a castle to a shallow stream filled with ducks. Sure, if you want to cross it you’re going to get wet and nipped at, but it’s more of an annoyance than a true impediment for determined competitors.
For a long time, founders were taught to look for defensibility in the product itself. Proprietary technology. Unique features. First-mover advantage. In an AI-enabled world, many of those moats are far shallower than they appear.
I’m seeing founders do genuinely thoughtful work, only to discover similar solutions emerging while they’re still trying to harden their first version. The current conditions and access to technology make convergence on problems almost inevitable. The chances of you discovering a truly unique problem in the world to solve are very low.
“You’re gonna need a different moat…”
It doesn’t mean the moat is gone. It means you build it differently, and usually more deliberately.
- You build it through small, specific niches where you know the customer better than anyone else and where scale comes later.
- Through customer experience that compounds. Trust, responsiveness, and being present when things go sideways are hard to replicate, even if the feature set looks similar on paper.
- Through lived experience. Founders who have felt the problem in their bones make different decisions than teams who discovered it in a market report.
- Through geographic concentration. Solving a problem deeply in one place, one region, or one industry cluster before trying to generalize it creates density that outsiders underestimate.
- Through combinations of hardware, software, and workflow, especially where the solution only works when it fits into real-world constraints. These are slower to copy and harder to fake.
- Through strong industry partnerships that give you access, credibility, and feedback loops competitors cannot shortcut.
- Prioritizing the speed of learning over the speed of shipping. The company that closes the loop with customers faster usually wins, even if they started later.
- Through regulatory, procurement, or operational complexity that looks annoying at first but ultimately protects you once you understand it.
- Through reputation. In tight industries, people talk. Being known as “the team that shows up” becomes a real asset.
- Through patience. Many convergent ideas fall apart because the founders chasing them were never willing to stay long enough to see the hard parts through.
Defensibility in software is becoming far less about what’s being built and more in what you’re connected to. In the data you accumulate through real usage. In the trust you earn with a specific group of customers. In the workflows you become embedded inside.
Those are harder to screenshot. Harder to pitch in a single slide. And much harder to replicate quickly by competitors and AI alike.
All of this is happening in a broader environment that’s making everything feel like a marathon run through a sand dune. Globally, things feel unstable because they are. There’s an affordability crisis touching nearly everyone. Organizations are cautious. Spending decisions are slower, more scrutinized, and easier to defer.
Float’s recent State of Canadian Business report landed close to what I’m seeing every day in conversations with founders. Revenue is growing. But so are costs. The margin between growth and the cost of growth is razor thin. Demand and revenue are out there. But the current trade-off for investment into growth is high enough in risk and capital to spoil a business’s appetite for it.
So (I hear you asking) how do founders actually apply these new approaches to moat?
This won’t come as a surprise to most founders, but there aren’t any shortcuts. There is no going around this moment. If you’re building something new today, the only way is through. That being said, there are some clear models I see savvy startups adopting to set themselves up with stability in the long term.
Building the solution as a service first
One approach I’m seeing more often is founders building their solution as a service first. For a long time, the mentality in the startup world was “high growth” or nothing. High growth is still the goal. The difference here is recognizing that this isn’t a fallback. It’s an intentional strategy.
Instead of trying to leap straight to a fully productized offering, founders wrap their insight, tooling, or early technology in a service layer. They solve the problem manually at first. They stay close to the work. They charge for outcomes rather than features.
This does a few important things at once. It generates revenue early. It forces constant exposure to real user behaviour. And it gives founders a way to fund product development without waiting for external capital to show up at exactly the right time.
But more importantly, it creates a different kind of defensibility. When you live inside a problem, You see edge cases before competitors even know they exist. Over time, your advantage compounds through judgment, pattern recognition, and trust, not just code.
By the time the product hardens, it’s shaped by reality in a way that’s difficult to reverse engineer from the outside.
Partnering early with a large potential customer
A less common, but still powerful, model is partnering early with a large potential customer. In these cases, an organization agrees to help fund development in exchange for early access, limited exclusivity, or influence over the roadmap.
When it works, it can change everything. Real money. Real constraints. Real environments. Real feedback.
But this path carries real risk. Teams can disappear into bespoke builds that never escape a single customer’s gravity. Or they slowly lose sight of the broader problem they originally set out to solve.
The founders who navigate this well are deliberate. They’re clear about what belongs to the market and what belongs to one customer. They design for reuse. They treat exclusivity as temporary, not permanent.
When done right, the moat here isn’t the partnership itself. It’s the early exposure to complexity. You’re learning inside production environments competitors won’t touch for years. That shapes decisions, architecture, and priorities in ways that are very hard to catch up to later.
Building a coordination layer instead of a standalone product
A third model I’m seeing is founders building tools that sit between people, organizations, or systems that already exist, instead of trying to replace them.
In these cases, A product is a bi-product of a single destination: Coordination.
These companies live where email chains break down, spreadsheets fail to scale, handoffs get fuzzy, and institutional memory sits inside inaccessible brains. The value is delivered by reducing friction across actors who already depend on each other but don’t naturally work well together.
The defensibility here comes from embeddedness (is that a word? It is now!) Once a system becomes the place where shared context lives, decisions get made, and accountability flows, replacing it becomes harder to do technically because of the relational layer that it’s built around.
Competitors can copy features. What they can’t easily replicate is the trust, alignment, and shared workflows that accumulate once coordination actually works.
If you zoom out, these models all do the same thing: they trade speed-to-market theatrics for depth of integration. They give founders a way to earn defensibility by being useful, present, and hard to remove, rather than merely impressive. Founders who stay close to a specific problem move differently from those building products with a top-down approach. They don’t overbuild. They don’t chase features. They know exactly which pain matters and which ones are noise.
Each of these models allows founders to charge earlier than what feels comfortable too, and revenue is a powerful sharpener of products. It reveals where trust breaks down. And it gives you leverage, even when the numbers are still modest.
Traction right now often looks smaller than we’re used to celebrating. Fewer customers, but deeper relationships. Smaller contracts, but stronger retention.
For founders just starting out, the encouragement I’ll offer is this. Focus less on looking impressive and flashy, and more on looking stable and trustworthy. Focus less on building the Swiss army knife of products, and more on becoming indispensable to a small group of users.
This is a hard moment to launch something new. It’s also a moment full of possibility.
WEtech Alliance is a non-profit organization that helps innovation and tech-based businesses start, sell and scale. Apply to be a client.
Adam Castle
Director of Venture Services & Partnerships,
WEtech Alliance
