Bookaiq, in numbers
Engineering posture, scale envelope, commercial layer. Operational data refreshes nightly from /system/launch-readiness in production.
100%
Kernel determinism
All routing + resource decisions write append-only snapshots with executionContractHash.
100%
Replay coverage
Every decision verifiable; drift = 409, never silent fallback.
39
Migrations applied (additive)
Zero destructive migrations; every change preserves history.
35
Phases shipped
From kernel through positioning. Each phase typecheck-clean.
Build timeline
Phase 1–17
Kernel + scheduling core
Booking engine, automation rules, AI insights, multi-tenant Postgres with RLS, 22 migrations.
Phase 17B–22
Resource + routing intelligence
Resource allocator (capacity-aware), 4 routing strategies, algorithm versioning, executionBinding.
Phase 23–25b
Replay studio + perf
Snapshot inspector, rule-trace graph, decision timeline v2, deterministic perf optimisation.
Phase 26–28
Conversion + launch hardening
Conversion website redesign, launch readiness gate with self-heal, mitul@test.bookaiq.local seed.
Phase 29–35
Commercial layer
4-tier billing, white-label / agency, AI assistant (explainable, propose-only), PWA, marketplace, scale hardening, positioning.
Scale envelope
Single-region production with 1 primary + 1 replica Postgres, Redis cache, 4-8 worker pods. See docs/benchmark-report.md for the full methodology.
| Profile | Tenants | Ops |
|---|---|---|
| Comfortable | 1,000 | 100/tenant/day |
| Stretched | 5,000 | 100/tenant/day |
| At limits | 10,000 | 50/tenant/day |
Get the full data room
Cap table, ARR + cohort retention, integration adoption, channel mix.