New internal/perf package with BenchmarkZipPipeline_1kDeals that
exercises the full hot path: API fetch (stores + savings against an
httptest server with pre-marshaled payloads), filter.Apply with all
predicates active and a 50-item limit, and display.PrintDealsJSON
to io.Discard.
This provides a single top-level benchmark to catch regressions
across package boundaries — e.g. if a filter optimization shifts
allocation pressure into the display layer, this benchmark surfaces
it where per-package benchmarks would not.
Synthetic dataset: 1000 deals with deterministic category/department
distribution to ensure the filter pipeline has meaningful work to do
(~1/3 BOGO, mixed departments, keyword matches in titles).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
