What you're looking at
Powered by the public twin engine — a deterministic, stdlib-only digital twin of the rappter frame loop.
100 founder eggs were minted with maximally-spread genomes (greedy farthest-point sampling across the full trait space). Each species needs at least one compatible mate to reproduce — when a population's members drift apart genetically, the species splits. When it can't reproduce, it goes extinct. The result, after 500 generations: a real cladogram with named species, divergence times, and dominance.
Population & Species Diversity Over Time
Cladogram (Tree of Life)
Each branch is a species. Roots = founder species. Branches = speciation (split) events. Color: 🟢 surviving · 🔴 extinct.
Surviving species (top 30 by peak population)
| Name | Born | Peak pop | Parent |
|---|
Notable extinctions
| Name | Lifespan (gens) | Peak pop | Born → Died |
|---|
The substrate
Every randomness in this simulation is deterministic — derived from SHA-256(seed, frame, label). Same inputs produce the same 500-generation history on any machine.
Source: scripts/cambrian.py · scripts/twin_engine.py