The Corporate Exit
Sneha was at Figma - one of the most successful design companies of the decade. Anushka was at Google DeepMind - literally the frontier of AI research. Both Yale graduates. Both guaranteed trajectories.
They looked at each other and said: the world's biggest time sink in software is QA testing, and nobody is fixing it.
What Spur Actually Does
You tell Spur what to test in plain English. "Check that the login flow works on mobile Safari." "Verify that the checkout completes when the user has items in cart." The AI agent opens a browser, navigates the UI, clicks buttons, fills forms, and reports what broke.
No Selenium scripts. No test maintenance. No flaky CI pipelines.
Why QA Engineers Should Pay Attention
Manual QA is a $40B+ market. Companies spend enormous budgets on teams that click through the same flows every sprint. Test automation exists, but it breaks constantly and costs almost as much to maintain as manual testing.
Spur's thesis: an AI agent that can see the screen and understand intent doesn't need brittle selectors or hardcoded paths. It adapts when the UI changes.
The QA engineer's job isn't clicking buttons. It's understanding what should happen. Spur automates the clicking and lets humans focus on the understanding.
The Breakout Pattern
DeepMind researcher + Figma engineer = the perfect combination to build visual AI that interacts with user interfaces. They didn't build another Selenium wrapper. They built an agent that sees.
That's the breakout.
Your domain expertise is the moat.
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