Dev builds AI network-effects simulator modeling 140 effect types as a Moog-style synth
seanmcdonaldxyz · x · 2026-10-23
Replying to Martin Casado, the author shows an AI-built network-effects simulator: the model mapped 140 types of network effects into a gallery/taxonomy, composed like Moog-style synthesizer modules. The UI lets you switch value laws (Sarnoff/Metcalfe/N log N/Reed), graph shapes (mesh/hubs/local/groups), and tune links, strength, scale, rival ratio and lock-in, plotting an advantage-vs-scale curve with live elasticity readings (e.g. 2.91→3.07) to explore how local competitors and lock-in erode scale advantages.
Related event: Dev Builds a 'Network Effects Synthesizer' Cataloging 140 Types with Grok(3 posts)→