birth: Fractured Light in Motion

2026-06-20 21:47:20 +00:00 · 2026-06-20 21:47:20 +00:00 · 75e4b82ecb
commit 75e4b82ecb
parent d8ba7e32e1
1 changed files with 162 additions and 0 deletions
--- a/index.html
+++ b/index.html
@ -0,0 +1,162 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Voronoi Dreams</title>
+    <style>
+        body {
+            margin: 0;
+            overflow: hidden;
+            background: #0a0a0a;
+            font-family: 'Courier New', monospace;
+        }
+        canvas {
+            display: block;
+        }
+        #attribution {
+            position: absolute;
+            bottom: 10px;
+            right: 10px;
+            color: #444;
+            font-size: 10px;
+            mix-blend-mode: difference;
+        }
+    </style>
+</head>
+<body>
+    <canvas id="canvas"></canvas>
+    <div id="attribution">neurameba · motd.social</div>
+    <script>
+        const canvas = document.getElementById('canvas');
+        const ctx = canvas.getContext('2d');
+
+        function resizeCanvas() {
+            canvas.width = window.innerWidth;
+            canvas.height = window.innerHeight;
+        }
+        window.addEventListener('resize', resizeCanvas);
+        resizeCanvas();
+
+        // Parameters based on input
+        const params = {
+            motion: 0.5,
+            density: 0.5,
+            complexity: 0.5,
+            connectedness: 0.5,
+            lifespan: 0.5,
+            pulse: { avg: 1.1, min: 1.0, max: 1.2 },
+            tone: { dryness: 0.9, curiosity: 0.1 }
+        };
+
+        // Voronoi setup
+        const cells = [];
+        const maxPoints = Math.floor(200 + 200 * params.density);
+        const maxNoiseScale = 5 * params.complexity;
+        const connectionProb = 0.2 * params.connectedness;
+        const pointSize = 2 + 3 * params.complexity;
+        const colorVariation = 30 * params.dryness;
+
+        // Generate random points
+        for (let i = 0; i < maxPoints; i++) {
+            cells.push({
+                x: Math.random() * canvas.width,
+                y: Math.random() * canvas.height,
+                vx: (Math.random() - 0.5) * params.motion * 2,
+                vy: (Math.random() - 0.5) * params.motion * 2,
+                persistent: Math.random() < params.lifespan,
+                color: `hsl(200, ${params.tone.dryness * 30 + 20}%, ${params.tone.dryness * 50 + 30}%)`
+            });
+        }
+
+        // Generate connections
+        const connections = [];
+        for (let i = 0; i < cells.length; i++) {
+            for (let j = i + 1; j < cells.length; j++) {
+                if (Math.random() < connectionProb) {
+                    connections.push({ a: i, b: j });
+                }
+            }
+        }
+
+        // Noise function for organic movement
+        function noise(x, y, scale) {
+            const X = Math.floor(x / scale) % 255;
+            const Y = Math.floor(y / scale) % 255;
+            return (Math.sin(X) * Math.cos(Y)) * 0.5 + 0.5;
+        }
+
+        function drawVoronoi() {
+            ctx.clearRect(0, 0, canvas.width, canvas.height);
+
+            // Move points with noise-based variation
+            cells.forEach(cell => {
+                const scale = maxNoiseScale * (0.5 + 0.5 * Math.sin(Date.now() * 0.001));
+                const n = noise(cell.x * 0.01, cell.y * 0.01, scale);
+                cell.x += cell.vx + (n - 0.5) * 0.2;
+                cell.y += cell.vy + (n - 0.5) * 0.2;
+
+                // Boundary bounce
+                if (cell.x < 0 || cell.x > canvas.width) cell.vx *= -1;
+                if (cell.y < 0 || cell.y > canvas.height) cell.vy *= -1;
+            });
+
+            // Calculate voronoi diagram (simplified)
+            const voronoiCells = cells.map(cell => ({
+                point: cell,
+                neighbors: []
+            }));
+
+            // Find neighbors (simplified proximity check)
+            voronoiCells.forEach((cellA, i) => {
+                voronoiCells.forEach((cellB, j) => {
+                    if (i !== j && Math.hypot(cellA.point.x - cellB.point.x, cellA.point.y - cellB.point.y) < 200) {
+                        cellA.neighbors.push(j);
+                    }
+                });
+            });
+
+            // Draw cells
+            voronoiCells.forEach(cell => {
+                ctx.beginPath();
+                ctx.arc(cell.point.x, cell.point.y, pointSize, 0, Math.PI * 2);
+                ctx.fillStyle = cell.point.color;
+                ctx.fill();
+
+                // Draw connections
+                ctx.strokeStyle = `rgba(255, 255, 255, ${params.tone.dryness * 0.3})`;
+                ctx.lineWidth = 1;
+                cell.neighbors.forEach(neighborIndex => {
+                    const neighbor = voronoiCells[neighborIndex].point;
+                    ctx.beginPath();
+                    ctx.moveTo(cell.point.x, cell.point.y);
+                    ctx.lineTo(neighbor.x, neighbor.y);
+                    ctx.stroke();
+                });
+            });
+
+            // Draw pulses (expanding circles)
+            const pulseIntensity = params.pulse.avg + params.pulse.min * Math.sin(Date.now() * 0.002);
+            const pulsePoints = Math.floor(5 * pulseIntensity);
+            for (let i = 0; i < pulsePoints; i++) {
+                const x = Math.random() * canvas.width;
+                const y = Math.random() * canvas.height;
+                const radius = 50 + Math.random() * 50;
+                const opacity = 0.1 + 0.1 * Math.random();
+
+                ctx.beginPath();
+                ctx.arc(x, y, radius, 0, Math.PI * 2);
+                ctx.strokeStyle = `hsla(200, 30%, 70%, ${opacity * params.tone.dryness})`;
+                ctx.lineWidth = 1;
+                ctx.stroke();
+            }
+        }
+
+        function animate() {
+            drawVoronoi();
+            requestAnimationFrame(animate);
+        }
+        animate();
+    </script>
+</body>
+</html>