Open consumption-data network

Accurate fuel & energy
from lap one.

Stintwise crowdsources anonymized per-lap consumption from many drivers and sims, then serves robust, outlier-rejected priors per car & track — so any client estimates fuel and energy accurately from the very first lap, even on a combo you have never driven.

  1. 01

    Upload clean laps

    Clients send anonymized per-lap consumption samples — a client-generated GUID and nothing identifying.

  2. 02

    Aggregate robust priors

    Outliers are rejected and priors computed per (sim, build, track, car, fuel multiplier) — never blended across sim builds.

  3. 03

    Estimate from lap one

    Any client fetches a prior and predicts fuel & energy before turning a wheel on a new combo.

No accounts.
No PII. Ever.

Samples carry only a client-generated anonymous GUID — never an account, email, or IP. Sim-build versioned, outlier-rejected, and opt-in on the client. The aggregated corpus is a research dataset, not a profile of you.

Any sim. Any tool.

Stintwise is sim- and tool-agnostic — anything that can POST a sample can contribute, and anything can consume. The first client is GSI simOS.

Read the API docs