feat: add traihard.de — AI cycling routes onepager
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sites/traihard.de/index.html
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285
sites/traihard.de/index.html
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<!DOCTYPE html>
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<html lang="de">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>traihard.de — Trai Hard</title>
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<meta name="description" content="Trai Hard — KI-gestützte Fahrradrouten. Modulare Segmente. Dein Terrain, dein Gedächtnis.">
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<link rel="preconnect" href="https://fonts.googleapis.com">
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<link href="https://fonts.googleapis.com/css2?family=Space+Grotesk:wght@400;600;700&display=swap" rel="stylesheet">
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<style>
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*, *::before, *::after { margin: 0; padding: 0; box-sizing: border-box; }
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:root {
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--bg: #0a0b0d;
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--surface: #12141a;
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--border: #1e2028;
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--text: #e8e8ec;
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--muted: #8888a0;
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--accent: #f97316;
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--accent-glow: rgba(249, 115, 22, 0.15);
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--trail: #22c55e;
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}
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html { scroll-behavior: smooth; }
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body {
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font-family: 'Space Grotesk', system-ui, sans-serif;
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background: var(--bg);
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color: var(--text);
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-webkit-font-smoothing: antialiased;
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overflow-x: hidden;
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}
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.grain {
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position: fixed; inset: 0; z-index: 9999; pointer-events: none; opacity: 0.03;
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background-image: url("data:image/svg+xml,%3Csvg viewBox='0 0 256 256' xmlns='http://www.w3.org/2000/svg'%3E%3Cfilter id='n'%3E%3CfeTurbulence type='fractalNoise' baseFrequency='.9' numOctaves='4' stitchTiles='stitch'/%3E%3C/filter%3E%3Crect width='100%25' height='100%25' filter='url(%23n)'/%3E%3C/svg%3E");
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}
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.container { max-width: 960px; margin: 0 auto; padding: 0 24px; }
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/* Hero */
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.hero {
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min-height: 100vh;
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display: flex;
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flex-direction: column;
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justify-content: center;
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align-items: center;
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text-align: center;
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position: relative;
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}
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.hero::before {
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content: '';
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position: absolute;
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top: -20%;
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left: 50%;
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transform: translateX(-50%);
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width: 600px;
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height: 600px;
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background: radial-gradient(circle, var(--accent-glow) 0%, transparent 70%);
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pointer-events: none;
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}
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.logo {
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font-size: clamp(3.5rem, 10vw, 7rem);
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font-weight: 700;
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letter-spacing: -0.03em;
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line-height: 1;
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margin-bottom: 8px;
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}
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.logo .ai { color: var(--accent); }
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.tagline {
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font-size: clamp(1rem, 2.5vw, 1.3rem);
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color: var(--muted);
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margin-bottom: 48px;
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max-width: 500px;
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}
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.route-viz {
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display: flex;
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align-items: center;
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gap: 6px;
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margin-bottom: 48px;
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opacity: 0.6;
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}
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.route-dot {
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width: 8px;
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height: 8px;
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border-radius: 50%;
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background: var(--trail);
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animation: pulse 2s ease-in-out infinite;
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}
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.route-line {
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width: 40px;
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height: 2px;
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background: linear-gradient(90deg, var(--trail), var(--accent));
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border-radius: 1px;
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}
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.route-dot:nth-child(3) { animation-delay: 0.3s; }
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.route-dot:nth-child(5) { animation-delay: 0.6s; }
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.route-dot:nth-child(7) { animation-delay: 0.9s; background: var(--accent); }
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@keyframes pulse {
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0%, 100% { opacity: 0.4; transform: scale(1); }
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50% { opacity: 1; transform: scale(1.4); }
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}
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/* Features */
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.features {
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padding: 80px 0;
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}
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.features-grid {
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display: grid;
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grid-template-columns: repeat(2, 1fr);
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gap: 20px;
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}
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.feature-card {
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background: var(--surface);
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border: 1px solid var(--border);
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border-radius: 14px;
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padding: 32px;
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transition: border-color 0.2s;
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}
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.feature-card:hover {
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border-color: var(--accent);
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}
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.feature-icon {
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font-size: 2rem;
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margin-bottom: 16px;
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}
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.feature-card h3 {
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font-size: 1.1rem;
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font-weight: 600;
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margin-bottom: 8px;
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}
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.feature-card p {
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color: var(--muted);
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font-size: 0.9rem;
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line-height: 1.6;
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}
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/* Terminal */
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.terminal-section {
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padding: 40px 0 100px;
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}
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.terminal {
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background: var(--surface);
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border: 1px solid var(--border);
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border-radius: 14px;
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overflow: hidden;
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max-width: 640px;
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margin: 0 auto;
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}
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.terminal-bar {
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display: flex;
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align-items: center;
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gap: 8px;
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padding: 12px 16px;
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border-bottom: 1px solid var(--border);
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}
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.terminal-dot {
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width: 12px;
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height: 12px;
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border-radius: 50%;
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}
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.terminal-dot:nth-child(1) { background: #ff5f57; }
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.terminal-dot:nth-child(2) { background: #febc2e; }
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.terminal-dot:nth-child(3) { background: #28c840; }
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.terminal-body {
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padding: 20px;
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font-family: 'SF Mono', 'Fira Code', monospace;
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font-size: 0.85rem;
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line-height: 1.8;
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color: var(--muted);
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}
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.terminal-body .prompt { color: var(--trail); }
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.terminal-body .cmd { color: var(--text); }
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.terminal-body .result { color: var(--accent); }
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/* Footer */
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footer {
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text-align: center;
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padding: 40px 0;
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color: var(--muted);
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font-size: 0.8rem;
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border-top: 1px solid var(--border);
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}
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footer a { color: var(--accent); text-decoration: none; }
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@media (max-width: 640px) {
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.features-grid { grid-template-columns: 1fr; }
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.hero { min-height: 80vh; padding: 60px 0; }
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}
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</style>
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</head>
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<body>
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<div class="grain"></div>
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<section class="hero">
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<div class="route-viz">
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<div class="route-dot"></div>
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<div class="route-line"></div>
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<div class="route-dot"></div>
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<div class="route-line"></div>
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<div class="route-dot"></div>
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<div class="route-line"></div>
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<div class="route-dot"></div>
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</div>
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<div class="logo">tr<span class="ai">ai</span>hard</div>
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<p class="tagline">KI-gestützte Fahrradrouten. Modulare Segmente. Dein Terrain, dein Gedächtnis.</p>
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</section>
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<section class="features">
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<div class="container">
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<div class="features-grid">
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<div class="feature-card">
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<div class="feature-icon">🧩</div>
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<h3>Modulare Segmente</h3>
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<p>Strecken aus bewerteten Bausteinen zusammensetzen. Jedes Segment lernt mit jeder Fahrt.</p>
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</div>
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<div class="feature-card">
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<div class="feature-icon">🔄</div>
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<h3>Rundtouren ab zuhause</h3>
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<p>50 km flach oder 90 km hügelig — die Route passt sich deinem Tag an. Immer hin und zurück.</p>
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</div>
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<div class="feature-card">
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<div class="feature-icon">📊</div>
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<h3>Workout-Feedback</h3>
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<p>Deine GPS-Daten bewerten automatisch jedes Segment: Ampeln, Speed, Stops, Elevation.</p>
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</div>
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<div class="feature-card">
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<div class="feature-icon">📍</div>
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<h3>Ra(n)dnotizen</h3>
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<p>Unterwegs kurz was notieren — wird per GPS dem Segment zugeordnet. Die Strecke merkt sich alles.</p>
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</div>
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</div>
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</div>
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</section>
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<section class="terminal-section">
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<div class="container">
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<div class="terminal">
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<div class="terminal-bar">
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<div class="terminal-dot"></div>
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<div class="terminal-dot"></div>
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<div class="terminal-dot"></div>
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</div>
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<div class="terminal-body">
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<span class="prompt">$</span> <span class="cmd">anjin route --distance 60km --surface asphalt --avoid traffic-lights</span><br>
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<br>
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<span class="result">→ Rheinufer Nord (12km) + Kaiserswerth Loop (18km) + Wald Ost (15km) + Retour Süd (15km)</span><br>
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<span style="color: var(--muted);"> Total: 60.2 km · ↑ 180m · ~2h15 · Score: 8.4/10</span><br>
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<br>
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<span class="prompt">$</span> <span class="cmd">anjin note "Neuer Radweg am Kanal — super Belag"</span><br>
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<span class="result">→ Segment #47 (Kanal Süd) aktualisiert. Rating: ★★★★☆</span>
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</div>
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</div>
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</div>
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</section>
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<footer>
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<div class="container">
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<p>traihard.de — ein <a href="https://msbls.de">msbls</a> Projekt</p>
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</div>
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</footer>
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</body>
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</html>
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