How YC Hit 90 % Coverage on Its Mission‑Critical Applications Portal

A conversation with
Sneha Sivakumar
Sneha Sivakumar
CEO of Spur

Challenge

For an accelerator that reviews thousands of startup applications on tight deadlines, even a tiny glitch can block founders and erode YC's brand. The applications team faced major QA hurdles: branching multi-step logic with hundreds of unique applicant paths, lean engineering bandwidth with just two engineers, and surge-deadline volume with tens of thousands of founders submitting within the final 24 hours.

Solution

Spur's AI-powered agents simulate real applicants end-to-end, achieving 90% coverage in two weeks. The team uses a record-to-test workflow where they record a flow and Spur writes the test. Adaptive applicant agents handle every field and state change with zero script maintenance, and instant Slack alerts ensure issues are fixed before founders notice.

Results

90% Application-Flow Test Coverage

  • 90%
    Application-Flow Test Coverage
  • 100+
    Manual QA Hours Saved per Batch
"Spur is shockingly easy to use—no coding, just plain English. Simply describe what you want to test, and Spur handles the rest. Onboarding was a breeze, and Anushka and Sneha are fantastic to work with."
Eve Bouffard
Product, Y Combinator
Challenge

High-Volume Deadlines, Lean Engineering Team

For an accelerator that reviews thousands of startup applications on tight deadlines, even a tiny glitch can block founders or flood support and erode YC's brand. The applications team faced three major QA hurdles:

Branching, Multi-Step Logic: Dozens of conditional sections generate hundreds of unique applicant paths - far too many for manual test scripts.
• Lean Engineering Bandwidth: With just two engineers maintaining the portal and four batches a year, the team couldn't spare days for bug-bashes before every deadline.
Surge-Deadline Volume: Tens of thousands of founders submit within the final 24 hours, so performance and reliability must hold up when traffic peaks.

Spur launches thousands of Agents each batch to emulate founders going through the flow

Spur's AI-powered agents simulate real applicants end-to-end:

Rapid, comprehensive testing - 90% coverage in two weeks
Record-to-test workflow - Ev records a flow, Spur writes the test
• Adaptive applicant agents that handle every field/state change with zero script maintenance
• Instant Slack alerts so issues are fixed before founders ever notice

Critical bug caught the Sunday night before peak submissions, preventing an outage for thousands of founders.

Ready to transform your testing?

Schedule a demo to see how Spur can handle all your QA, save development time and prevent costly bugs.

Book a Demo

Related Case Studies

All Customers
Scaling shoppable UGC QA across dozens of brands by adding a single URL to a shared Spur scenario table

How Hue Scales QA For Shoppable UGC Widgets Across Many Brands With Spur

Read Case Study
From manual spot checks to reliable, release-ready coverage at peak traffic

How Eight Sleep Turned Black Friday QA From All-Nighters to Automated Confidence

Read Case Study
Regression Done by Noon, Every Release

How a Leading Furniture Brand Automated Their Entire Release Process

Read Case Study
2× Faster Deployments, Zero Manual Testing

AI-Powered QA That Never Sleeps

Read Case Study
20x Increase in Release Velocity

How Spur helped Wander ship 4x faster

Read Case Study