PHP 8 · MySQL · Private / commercial

CobbVision

A production SaaS platform for Subaru tuners. It ingests datalog CSVs from the Cobb AccessPort — the handheld ECU tuning device — and turns raw, messy sensor data into clean plots and actionable diagnostics.

The problem

The Cobb AccessPort logs dozens of engine parameters to CSV — but the format is a moving target. The same value shows up under many different column names depending on firmware, vehicle, and the logging profile a tuner chose: AF Sensor 1 Ratio (AFR), Engine Speed (RPM), Manifold Rel Pressure (Boost), and so on. Before you can plot or diagnose anything, you have to make sense of that chaos.

What I built

• A normalization engine that maps the many Cobb column-name variants onto a stable set of canonical keys, so every log is comparable regardless of how it was captured.
• An ingestion + storage pipeline that takes uploaded datalogs, validates them, and persists them per user.
• A visualization & diagnostics layer that renders interactive charts (Chart.js) and surfaces the metrics tuners actually care about — AFR, boost, knock, timing.
• A full SaaS substrate: account auth with Google/Facebook OAuth, Stripe billing with webhooks, and a versioned REST API documented with an OpenAPI 3.1 spec.
• Companion mobile apps (Swift + Kotlin) that record a GPS track alongside a datalog session, so the data lines up with where on the road or track it happened.

The stack

It's a complete, self-funded product: I designed the data model, wrote the backend, built the billing and API, shipped the mobile companions, and run the deployment. The kind of end-to-end ownership that's hard to fake.