SF Tech Dating Dynamics WIRED Sociological Model

Simulating the "Hot List" intervention, attractiveness halo weight, and tech status gatekeeping across SF subcultures.

Social Currency Dials N = 36 Profiles

Attractiveness Halo Weight (α) 0.60

Shifts interaction probability toward visual presentation and bio aesthetics.

Tech Capital Weight (β) 0.40

Weighs YC batch, funding stage, LLM repo stars, and AI compute status.

Curated "Hot List" Intervention ACTIVE

The Hot List intentionally bridges cross-subculture ties, counteracting insular founder monoculture.

Neighborhood Clustering Lens
Preconfigured Social Experiments
"A San Francisco 'Hot List' is trying to buck stereotypes about dating in tech circles amid wider debates about the value of being perceived as attractive."
— Captured WIRED Dispatches
Hayes (AI Hub)
Mission (Creative)
Marina (Bio/Fitness)
SoMa (Founders)
Gold Ring = Hot List Pick
Drag archetypes • Click to inspect affinity

Ecosystem Telemetry

Ties Formed 0 0% density
Cross-Enclave Rate 0% Diversity index
Stereotype Index 0.00 Status homophily
Serendipity Lift +0% Hot List impact

Profile Inspector

Select any Archetype Node

Click on a profile in the dating graph to reveal their social capital rating, neighborhood, and connection likelihoods.

Subculture: — Enclave: —
Perceived Attractiveness 0.0
Tech / Industry Status Capital 0.0
Top Match Affinities: None active

Subculture Interaction Matrix

From \ To AI Creatives Bio/Fit Founders
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