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See it work

Concrete artifacts you can read in under a minute — no install required for the static examples; offline CLI for a live receipt.

Source: examples/receipts/golden/brainrot-aura.json

Human-readable summary

Field Value
Query (ingest) brainrot aura farming mid cooked
Lineage family brainrot-aura
Matched terms brainrot, aura, aura farming, mid, cooked, let him cook
Confidence 0.98 · provenance INFERRED
Receipt integrity e8e43b010371
Brier null (open analysis — not settled)

Observed (excerpt): Mock memetic channel on brainrot / aura farming vocabulary with status-radiation payload (content degradation + identity signaling).

What you may claim: this query matches the brainrot-aura lineage family with high lexical confidence under the offline registry.

What you must not claim: a numeric Brier or “50% chance this goes viral” from the open receipt alone.

Lineage on the map

Open constellation · family brainrot-aura →

JSON (collapsible)

Open golden receipt JSON (excerpt)

Full file in the repo. Core shape:

{
  "ingest": { "query": "brainrot aura farming mid cooked" },
  "analysis": {
    "lineage": {
      "family_id": "brainrot-aura",
      "matched_terms": ["brainrot", "aura", "aura farming", "mid", "cooked", "let him cook"],
      "confidence": 0.98,
      "provenance": "INFERRED"
    }
  },
  "provenance": { "brier": null },
  "receipt": { "integrity": "e8e43b010371" }
}

Archive: YTD analysis snapshot

backfill-ytd-2026-analysis — 16 receipt summaries, multi-family distribution, publish-safe Pages history.

Live offline (one minute)

python3 scripts/hyperlex.py demo --query "rizz"

Writes a receipt and prints a compact result packet with brier: null.

Case study walkthrough

Case studies · e2e mock scan under examples/case-studies/.