Horizontal software is a knife fight. The durable value increasingly sits in vertical SaaS — deep, domain-specific tools for industries with real complexity. Aviation, and its schedule-data layer in particular, is a textbook example.
If you’ve watched software investing over the last decade, you’ve seen the thesis migrate. The generic, horizontal tools — another CRM, another dashboard — became a knife fight of undifferentiated competitors. The durable returns increasingly came from vertical SaaS: software built deep into the workflow of one industry with real, specialized complexity. Aviation is one of those industries, and the schedule-data layer is a clean example of why the vertical thesis holds.
| Horizontal SaaS | Vertical SaaS | |
|---|---|---|
| Buyer | Anyone | One industry |
| Moat | Features, brand | Domain depth, workflow fit, data |
| Competition | Crowded, generic | Few who truly understand the domain |
| Switching cost | Often low | High — it’s wired into how the business runs |
The vertical advantage isn’t that the market is bigger — it’s usually smaller. It’s that the moat is deeper. A tool that encodes an industry’s hard-won conventions is defensible in a way a general-purpose tool can’t be, because the barrier to entry is understanding the domain, not writing the code.
Everything that makes vertical SaaS attractive is present in schedule data:
Vertical isn’t a free lunch. The addressable market is narrower than a horizontal tool’s; the buyer base is concentrated; sales cycles in aviation are long. The vertical bet is explicitly depth over breadth — you win a smaller market more completely and defend it longer. For the right team in the right niche, that’s a feature, not a bug.
Horizontal software competes on features and loses on price. Vertical software competes on understanding the domain — and that’s much harder to copy.
The vertical-SaaS thesis rewards durable standards, specialized complexity, recurring workflows, and real switching costs. Aviation schedule data has all four. It’s a smaller market than the aviation-IT headline, but it’s exactly the kind of deep, defensible layer the vertical playbook was written for.
That’s the category we’ve deliberately chosen to build in: not a horizontal tool that does a little of everything, but a foundation-deep one that does schedule data properly. The next post looks harder at where the moat actually comes from.
Sources
IATA now sees 2026 industry net profit at $23B — roughly half of last year — as jet fuel jumps from $90 to $152 a barrel. Demand is still strong and carriers are beating estimates. For investors, the gap between the two is the whole story.
Airlines and airports are set to spend around $46B on IT, with AI everywhere. Almost none of it targets the schedule-data layer every operation runs on. For investors, that gap is the interesting part.
Airline earnings for Q3 2026: Delta, United and Southwest stayed profitable, American and Alaska lost money. Record revenue at four of them — and fuel up over 60%.
