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scripts/bench/seed-large-account.ts (moved from scripts/, extended) writes one synthetic account of ten years: 1,265,561 measurement rows across the main types and five sources (Apple Health dense spot rows, Withings blood pressure and scale, a weekly manual weight, three years of Oura nightly values, 90 days of Nightscout CGM), `stats:` and per-sample cumulative rows, nightly sleep stages, 3,020 workouts, 1,095 mood entries and three medications with 3,285 intake events. Everything goes in through set-based INSERT … SELECT generate_series; values and timestamps are functions of the row index and `--anchor`, so a run is reproducible. The rollup tier is folded with recomputeUserRollups, as the boot backfill does, and the tables are analysed. About 80 s on the Mac mini. scripts/bench/run.ts boots the production build once with every role (so the queues exist), then measures against a web-only process under the production heap ceiling: p50, p95 and max latency and SQL statements per request (pg_stat_statements, read once nothing is in flight and the count holds still) for /api/auth/me, the dashboard summary and snapshot, the pulse series over 30, 365 and 3650 days, the day view, insights health status and correlations, each cold (caches evicted by a one-row manual-sync ingest before every request) and warm, plus a 5,000-row batch ingest as ten requests of 500. It writes JSON and a markdown table. docs/contributing/benchmarks.md describes the setup against a throwaway Postgres in Docker with the production pg_stat_statements settings.