Spur

What is Spur?

Spur is a YC S24 startup that raised $4.5M in seed funding from First Round Capital, Pear VC, Neo, and Conviction in April 2025. It's an AI QA agent for e-commerce and web applications that runs end-to-end tests using natural language commands — making test creation accessible to product managers and QA teams who can't write code.

Key Features

Natural Language Tests — Describe what to test in plain English: "add item to cart, apply coupon code SAVE10, proceed to checkout, verify discount applied." Spur's AI agent executes these steps autonomously.

Vision-First Approach — Like AskUI, Spur interacts with applications visually rather than through DOM selectors. Tests don't break when class names change or elements move — the agent sees the UI the same way a human does.

E-Commerce Specialization — Deep understanding of e-commerce flows: product search, cart management, checkout, payment processing, order confirmation, account management. Pre-built test templates for common e-commerce scenarios.

Agentic Execution — Rather than scripted step-by-step tests, Spur's agent adapts to the current state of the application, handling unexpected modals, redirects, and dynamic content gracefully.

Non-Technical Accessibility — Product managers, QA analysts, and business stakeholders can write and review tests without engineering involvement, unblocking teams where QA is a bottleneck.

Who Uses Spur

E-commerce companies and SaaS businesses that need comprehensive QA coverage but lack dedicated QA engineering resources. Particularly valuable for teams where product managers and designers want to verify their own flows without engineering dependencies.

Bottom Line

Spur is an early-stage but well-funded bet on making AI-driven agentic testing accessible to non-engineers. If your QA bottleneck is that only engineers can write tests, Spur directly addresses that constraint.