Optimal Data LLC is the parent entity for a portfolio of data-driven consumer products. The first — Optimal Shopping — is live. Others are in development. Structuring as a holding company from the start was a deliberate choice, and it shapes how we build technology.
Shared Infrastructure
Each product under Optimal Data shares a common infrastructure layer: the same Supabase project (separate schemas), the same edge node fleet, the same authentication system, and the same internal tooling. The marginal cost of adding a new product is the differential cost of its unique data requirements, not a full stack rebuild.
Why This Matters for Technology Decisions
When Optimal Shopping needed a fuzzy product matching layer, we built it as a standalone service rather than tying it to the shopping domain model. When we needed an internal dashboard, we built it as a multi-product workspace rather than a Shopping-only admin panel.
These choices cost slightly more upfront. They pay back compounding dividends as the portfolio grows.
The Cost Moat
First-party data collected through owned infrastructure is orders of magnitude cheaper than data purchased from brokers. At scale, this translates directly to margin — and to the ability to offer consumer products at zero subscription cost, which is the core of our consumer alignment thesis.