The era of software as a moat is over, and the rise of 'vibe coding' has begun. This new approach to technology adoption emphasizes embedding software into every aspect of an old business, rather than just layering it on top of legacy operations. According to John Loser, co-founder and general partner of Floating Point Capital, this shift in focus is crucial for logistics and other complex industries.
This change in perspective is driven by the commoditization of software, which has led to a recognition that real-world assets, operational workflows, regulatory capital, and complexity are the true sources of sustainable competitive advantage. Loser notes that it's no longer enough to have the best software; instead, companies need to design their entire business model around new technology.
The venture landscape has shifted dramatically since 2021, with a growing recognition that real businesses with real business models and real-world applications matter. This shift is driven by investors who are increasingly targeting mega AI companies, while also recognizing the wider aperture for venture-backed businesses. Floating Point Capital is well-positioned to capitalize on this trend, focusing on full-stack businesses operating in complex legacy industries such as healthcare, financial services, and trucking.
Logistics represents roughly one-third of the portfolio at Floating Point Capital, and Loser notes that the rise of 'vibe coding' has fundamentally changed what creates sustainable competitive advantage. It's no longer just about building elegant software; instead, it's about designing an entire business model around new technology. This approach is exemplified by companies like Nevoya, which is building a trucking operation optimized for electric vehicles to change the economics of freight.
Nevoya's approach is centered on turning a mostly variable cost gas-type cost structure into mostly fixed costs. By doing so, they're able to dramatically lower per-mile costs without relying on a green premium. This is achieved by running three drivers around the clock on expensive Tesla Semis rather than letting diesel trucks sit overnight. The result is a significant reduction in costs and a more efficient operation.
Another example of 'vibe coding' in action can be seen in Catena, a seed investment that operates as a data infrastructure layer connecting providers with users across the ecosystem. Loser notes that ten years ago, this project would have required 1,000 engineers to complete, but today it can be achieved by just a couple of talented people in a few weeks.
Ledgebrook, an insurance business, is another example of how 'vibe coding' is unlocking new economic models for old industries. The company used autonomous AI agents to scale underwriting of complex specialty policies, growing from zero to over $100 million in annual recurring revenue in just two years. This approach has proven successful and has given the company a significant competitive advantage.
Large publicly traded companies face structural barriers to reinvention, Loser notes. They often struggle to replace human sales teams with AI systems or adopt more radical business models. However, this creates opportunity for nimble startups that can take advantage of overlooked side effects stemming from new technologies. For instance, the automobile industry has seen significant changes in recent years, and companies like Walmart have built success on the back of these changes.
As Loser notes, the biggest, most successful company built on the technology of the automobile was indeed Walmart. The intuition behind this is that when everyone has a car, new industries and business models emerge to create something really special. This is where transformative companies get built, and it's an approach that Floating Point Capital is well-positioned to capitalize on in the logistics sector.
As venture investing continues to shift towards more sustainable business models, 'vibe coding' is becoming a crucial factor in determining competitive advantage.
