Flaky-test noise: capture sampled run snapshots and auto-compare reports

Flaky-test noise: capture sampled run snapshots and auto-compare reports targets a $15.0B = 3,000,000 engineering teams x $5,000 ACV (developer/CI/observability adjacent spend) total addressable market with medium saturation and a year-over-year growth rate of 18%.

Key trends driving demand: CI/CD acceleration -- more teams run frequent builds so triage automation ROI improves; Shift-left testing -- earlier automated tests increase volume of flaky failures that need tooling; AI-assisted observability -- ML for anomaly/diff detection enables automated comparison and grouping; Cloud-native microservices -- more non-determinism across environments increases need for sampled artifacts.