Civilizational Capacity Intelligence

Quantifying energy, compute, and infrastructure readiness.

A single-screen model for estimating Kardeshev progression across companies, states, countries, and global baselines. Adjust power, compute allocation, efficiency, and capital formation to see how quickly an entity can close the gap to Type I capability.

Launch Index Model
0 TWh Modeled annual energy throughput.
0% Energy directed to compute-intensive infrastructure.
0 years Estimated time to Type I threshold under current assumptions.
Core App

Live Index Panel

Single-file mode. No backend.

Use scenario presets or tune the assumptions directly. Each control updates the score, timeline, capital estimate, and bottleneck analysis immediately.

Output

Capacity Trajectory

Scenario: Baseline
Current Capacity Score 0.000 Weighted index across power, compute, efficiency, and capital readiness.
Tier Classification Pre-Type I Still meaningfully below a civilization-scale energy envelope.
Required Capacity Delta 0 TW Additional average power needed to reach Type I baseline.
Compute-Energy Balance Stable Relative alignment between compute demand and total available energy.
5-Year Score 0.000
10-Year Score 0.000
25-Year Score 0.000
Threshold ETA Pending
Advisory Layer

Constraint Analysis

Auto-generated from current assumptions.
Comparative View

Selected Benchmarks

Reference baselines embedded locally.

Compare the active scenario against three major regional baselines and a global reference. Benchmarks use the same model assumptions for a cleaner directional view.

Credibility

Methodology

Transparent enough to inspect, compact enough to use.

This model uses a simple Kardeshev-derived power score as the base signal, then adds bounded modifiers for compute allocation, infrastructure efficiency, population scale, and annual capital intensity. It is intentionally lightweight: the point is decision support and bottleneck identification, not false precision.

K = (log10(P) - 6) / 10
P = average power draw in watts
Weighted Score = K + compute modifier + efficiency modifier + capital modifier + scale modifier
Power Foundation Annual TWh is converted into average watts, then translated into a Kardeshev-style baseline score.
Scenario Logic Growth compounds annually. Efficiency and capital act as multipliers on effective energy throughput.
Constraint Ranking The model surfaces the largest gaps first: energy supply, grid/storage, compute allocation, and investment throughput.