What is QA.tech 1.0?
Get a fleet of QA agents that protect your product’s quality. Let AI explore your app for full test coverage, monitor staging to catch issues, and deliver debugging context as soon as you open your PRs. Build at full speed and never break prod again.
Problem
Users rely on manual QA processes and fragmented testing tools, leading to incomplete test coverage, slow debugging, and production failures due to human error and inefficiency.
Solution
A QA automation platform where users deploy AI-driven QA agents to autonomously explore apps, monitor staging environments, and provide PR-linked debugging insights. Core features: full test coverage via AI agents, real-time issue detection, and automated context delivery for faster fixes.
Customers
Engineering teams at startups and scale-ups, particularly DevOps engineers, QA engineers, and CTOs managing rapid deployment cycles.
Unique Features
Multi-agent AI system simulating real-user behavior, proactive staging environment monitoring, and automatic integration of debugging data into PR workflows.
User Comments
Eliminated 80% of production bugs since adopting
Reduced QA cycle time by 60%
AI agents found edge cases our team missed
PR context integration saves hours per deployment
Continuous staging monitoring prevents regressions
Traction
Launched on ProductHunt with 1.2k+ upvotes in first week, used by 500+ teams including YC startups, undisclosed revenue but $2M seed funding raised in 2023
Market Size
The global software testing market was valued at $45.6 billion in 2023 (Grand View Research), with AI-driven QA tools growing at 24% CAGR.
