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Forkin

Live ledger

Our infrastructure emissions comparison

This page compares the Forkin core fleet with a disclosed reference cloud region. The cumulative CO₂e difference is modeled from fleet power assumptions and provider data; it is not a measured individual saving.

312

kg estimated CO₂e difference

Computed from conservative fleet electricity assumptions backed by provider and billing data, versus the counterfactual of running the same workload on a typical cloud region (AWS Frankfurt / us-east-1 grid carbon intensity).

This is a counterfactual difference between two estimates, not an individual saving or neutrality claim. Forkin is not carbon-neutral, buys no offsets, and reports residual estimated emissions separately. How this is calculated

888

kWh consumed

Conservative idle estimate. We round up our own draw, never down.

156

Days running

Since the first server in the fleet was provisioned.

7

Active servers

Each one logs its own hourly carbon row.

DataCrunch (Verda) · Hetzner · Hyperstack · Scaleway

Low-carbon providers

Hetzner, Scaleway, Hyperstack & Verda/DataCrunch today.

Where you fit

Your part in this

There is no per-user attribution math here - that would be dishonest and we'd rather not invent a number. What's true is simpler: every paid subscription helps pay for EU/EEA infrastructure selected for renewable contracts or low-carbon grids instead of cheaper grey-grid alternatives. The number above grows because you're here.

Methodology

How the number is calculated

Every hour, a cron job on our pipeline server appends one row per active server to a public ledger table. Each row is computed as:

kWh × (counterfactual_grid_intensity − our_provider_intensity)

Counterfactual grid intensities are 12-month averages from electricitymaps.com; our provider intensities come from provider-published data or the regional grid where a provider-specific figure is not available (for example Hetzner renewable contracts, Scaleway France's low-carbon grid, Hyperstack Norway hydropower, and Verda/DataCrunch Finland).

We use conservative fleet power assumptions, including idle draw where exact per-service metering is unavailable. The figure is the modeled difference from the counterfactual baseline above, not a measured saving or carbon-neutrality claim: we are not carbon-neutral, we buy no offsets, and we report the residual instead of cancelling it. The endpoint behind this page (/impact/totals) returns totals only.

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The next scan you do uses these servers. The number above ticks up when you do.