Latency Ripple
show delay, loading, sync, and distributed system response as waves
Running the actual recipe live via applyRecipe() — not a mock.
"Latency Ripple" — show delay, loading, sync, and distributed system response as waves. It has a propagate layer (travelling waves through the medium), a diffuse layer (spread a quantity over the medium), a fieldflow layer (solar prominences, aurora, plasma streams, guided matter), and a memory layer (a decaying trail / hysteresis). Matter follows the field geometry because of fieldflow, not the field-owning force itself. The active render stack is streamlines, field-lines, particles, trails.
A signal propagates outward and fieldflow carries it to affected regions; diffuse damps slow or blocked areas so delay reads as distance, not a spinner.
Copy this recipe
<field-root></field-root>
<div data-body="propagate" data-strength="1" data-range="400" data-feedback></div>
<div data-body="diffuse" data-strength="0.7" data-range="320"></div>
<div data-body="fieldflow" data-strength="0.6" data-range="0"></div>
<div data-body="memory" data-strength="0.5" data-range="280"></div> See also
- Signal Path show information flowing through citations, dependencies, or routes
- Evidence Field show how sources support, weaken, or contradict a claim
- Guided Flow move particles or attention along field lines, relationships, or paths
- Navigation Current make routes, breadcrumbs, and likely next paths feel connected
- Citation Thread bind citations, footnotes, evidence, references into visible relationships
- Trust Gradient show confidence, verification, and unsupported claims