Slang lineage map¶
Interactive 8 families · registry + YTD leaves Static export · not live DB Similarity / map ≠ Brier
One glance: hubs are families, size is term count, color is domain. Click a hub to open leaves. Search jumps to the family that owns a term.
Instant legend¶
| You see | Means |
|---|---|
| Center hub | All families (click to reset) |
| Ring of disks | One lineage family each |
| Disk size | Number of atomic terms in registry |
| Disk color | Domain hue (betting, crypto, AI, …) |
| Orbit labels | Atomic terms after you open a family |
| Dashed arc | Within-family hash-embed neighbor (INFERRED · not Brier) |
| Month chip | First seen in YTD backfill packs (if any) |
Deep links (share a view)¶
| URL | Opens |
|---|---|
?term=rizz |
Family + selected term + neighbor arcs |
?family=brainrot-aura |
Family expanded |
?family=ai-native |
AI-native hub |
?q=steam |
Search filter |
Use Copy link on the map toolbar after selecting a term.
From a pipeline receipt with lineage, open:
…/map/?term=<primary_term>
# or
…/map/?family=<family_id>
Why this shape¶
Slang is not a flat dictionary. Hyperlex stores phylogenetic families (root payload → trunk → branches → leaves). A radial constellation keeps:
- Global structure always visible (8 hubs)
- Local detail on demand (terms after click)
- No force-layout spaghetti on first paint
Static Mermaid family trees still live under examples/slang-families/.
This map is the overview instrument for researchers and operators.
Data source¶
| Field | Source |
|---|---|
| Families + terms | LINEAGE_REGISTRY in hyperlex.analysis |
| First-seen months | data/backfill/2026/*.json |
| Export | scripts/export_lineage_map.py → map/lineage-map.json |
python3 scripts/export_lineage_map.py
# commits docs/map/lineage-map.json for Pages
Machine graph: lineage-map.json