/* OpenHero source by Cristian Olivera Chávez. MIT License Copyright (c) 2026 Cristian Olivera Chávez Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. */ "use client"; import { useEffect, useRef } from "react"; import { Icon } from "@iconify/react"; const telemetryCards = [ { icon: "mdi:satellite-variant", kicker: "Module 01 · Apex Telemetry", name: "Solar GPS Collar System", desc: "Sub-20g solar-harvesting collars with dual-frequency GNSS. Sends location pings every 4 seconds. Waterproof to 30m. Operates across -40°C to 65°C biome ranges.", metrics: [ { value: "4s", label: "Ping Interval" }, { value: "99.1%", label: "Accuracy" }, { value: "18mo", label: "Lifespan" }, ], }, { icon: "mdi:leaf", kicker: "Module 02 · Biome Sync", name: "Serengeti Habitat Mesh", desc: "900-node IoT environmental mesh measuring soil moisture, canopy density, prey density indices, and fire-risk thermoclines. Feeds predictive migration AI.", metrics: [ { value: "900", label: "Mesh Nodes" }, { value: "2hz", label: "Refresh Rate" }, { value: "14TB", label: "Daily Data" }, ], }, { icon: "mdi:dna", kicker: "Module 03 · Genomic", name: "Non-Invasive eDNA Sampling", desc: "Environmental DNA collection from water sources, scat, and hair snares. Full genetic profiles without tranquilization—preserving behavioral integrity across the study period.", metrics: [ { value: "0", label: "Captures" }, { value: "98.4%", label: "ID Accuracy" }, { value: "72h", label: "Turnaround" }, ], }, ]; const genomeCards = [ { code: "SPEC-001 · PANTHERA LEO", name: "African Lion", sci: "Panthera leo massaica", pct: 82 }, { code: "SPEC-002 · ACINONYX JUBATUS", name: "Cheetah", sci: "Acinonyx jubatus jubatus", pct: 91 }, { code: "SPEC-003 · LOXODONTA AFRICANA", name: "Bush Elephant", sci: "Loxodonta africana", pct: 67 }, { code: "SPEC-004 · PANTHERA PARDUS", name: "Leopard", sci: "Panthera pardus pardus", pct: 78 }, { code: "SPEC-005 · CROCUTA CROCUTA", name: "Spotted Hyena", sci: "Crocuta crocuta", pct: 55 }, { code: "SPEC-006 · LYCAON PICTUS", name: "African Wild Dog", sci: "Lycaon pictus lupinus", pct: 93 }, ]; const acousticBars = Array.from({ length: 32 }, (_, i) => { const h = 18 + ((i * 9) % 42); const h2 = 26 + ((i * 11) % 48); const duration = 0.9 + ((i % 5) * 0.13); return { h, h2, duration, delay: i * 0.04 }; }); export default function Page() { const cursorRingRef = useRef(null); const cursorDotRef = useRef(null); const dustFieldRef = useRef(null); const acousticBarsRef = useRef(null); const navRef = useRef(null); const videoRef = useRef(null); const fallbackRef = useRef(null); useEffect(() => { const isFinePointer = window.matchMedia("(pointer: fine)").matches; if (!isFinePointer) { if (cursorRingRef.current) cursorRingRef.current.style.display = "none"; if (cursorDotRef.current) cursorDotRef.current.style.display = "none"; return; } let mx = 0; let my = 0; let rx = 0; let ry = 0; let raf = 0; const onMove = (e: globalThis.MouseEvent) => { mx = e.clientX; my = e.clientY; }; const animate = () => { rx += (mx - rx) * 0.12; ry += (my - ry) * 0.12; if (cursorRingRef.current) { cursorRingRef.current.style.left = `${rx}px`; cursorRingRef.current.style.top = `${ry}px`; } if (cursorDotRef.current) { cursorDotRef.current.style.left = `${mx}px`; cursorDotRef.current.style.top = `${my}px`; } raf = requestAnimationFrame(animate); }; window.addEventListener("mousemove", onMove); raf = requestAnimationFrame(animate); return () => { window.removeEventListener("mousemove", onMove); cancelAnimationFrame(raf); }; }, []); useEffect(() => { const dustField = dustFieldRef.current; if (!dustField) return; const spawnDust = () => { const d = document.createElement("span"); const x = Math.random() * 100; const dur = 8 + Math.random() * 12; const driftX = (Math.random() - 0.5) * 120; const size = 1 + Math.random() * 2; d.style.cssText = ` left:${x}%; --drift-x:${driftX}px; animation-duration:${dur}s; animation-delay:${Math.random() * dur}s; width:${size}px; height:${size}px; opacity:0; `; dustField.appendChild(d); window.setTimeout(() => d.remove(), (dur + 3) * 1000); }; for (let i = 0; i < 30; i++) spawnDust(); const interval = window.setInterval(spawnDust, 400); return () => window.clearInterval(interval); }, []); useEffect(() => { const barsContainer = acousticBarsRef.current; if (!barsContainer) return; const bars = Array.from( barsContainer.querySelectorAll(".acoustic-bar") ); bars.forEach((b, i) => { const h = 15 + Math.sin(i * 0.6) * 25 + Math.random() * 30; const h2 = 20 + Math.sin(i * 0.8 + 1) * 30 + Math.random() * 35; b.style.setProperty("--bar-h", `${h}%`); b.style.setProperty("--bar-h2", `${h2}%`); b.style.animationDelay = `${i * 0.04}s`; b.style.animationDuration = `${0.9 + Math.random() * 0.8}s`; }); const barsInterval = window.setInterval(() => { bars.forEach((bar) => { const h = 10 + Math.random() * 70; const h2 = 10 + Math.random() * 80; bar.style.setProperty("--bar-h", `${h}%`); bar.style.setProperty("--bar-h2", `${h2}%`); }); }, 1800); return () => { window.clearInterval(barsInterval); }; }, []); useEffect(() => { const nav = navRef.current; if (!nav) return; const onScroll = () => { const opacity = Math.min(0.85, 0.4 + window.scrollY / 400); nav.style.background = `oklch(12% 0.03 40 / ${opacity})`; }; onScroll(); window.addEventListener("scroll", onScroll, { passive: true }); return () => window.removeEventListener("scroll", onScroll); }, []); useEffect(() => { const video = videoRef.current; const fallback = fallbackRef.current; if (!video || !fallback) return; const onError = () => { video.style.display = "none"; fallback.style.display = "block"; }; video.addEventListener("error", onError); const timeout = window.setTimeout(() => { if (video.readyState === 0) { video.style.display = "none"; fallback.style.display = "block"; } }, 2500); return () => { video.removeEventListener("error", onError); window.clearTimeout(timeout); }; }, []); useEffect(() => { const stalkEls = Array.from(document.querySelectorAll(".stalk")); const observer = new IntersectionObserver( entries => { entries.forEach(entry => { if (entry.isIntersecting) entry.target.classList.add("in-view"); }); }, { threshold: 0.08, rootMargin: "0px 0px -40px 0px" } ); stalkEls.forEach(el => observer.observe(el)); return () => observer.disconnect(); }, []); return (
Apex-Predator Telemetry · Field System v4.2

The Wild Never Sleeps.

Serengeti biome-sync technology meets real-time ethological intelligence. We track, map, and protect the apex predators of our age—through acoustic monitoring arrays, non-invasive genomic sampling, and satellite telemetry at 120-frame fidelity.

LAT -2.3304° S LONG 34.8332° E
SUBJECT LION♀ ID:447 TEMP 38.6°C
SIGNAL STRONG PING 4s AGO
Scroll to explore
1,847 Animals Tagged
94.2% Signal Uptime
3.2M km² Monitored
48 Acoustic Arrays
0.0% Invasive Sampling
Core Technology Systems

Intelligence
born from silence.

{telemetryCards.map(card => (
{card.kicker}
{card.name}

{card.desc}

{card.metrics.map(metric => (
{metric.value} {metric.label}
))}
))}
Serengeti Biome-Sync

The land
breathes
data.

Our biome-synchronization platform integrates satellite multispectral imagery, ground-truth sensor arrays, and machine-learning habitat models into a living cartographic intelligence. Updated every 2 hours. Predictive horizon: 72 hours.

  • Vegetation NDVI Index 0.74 Optimal
  • Prey Density (km²) 142 wildebeest
  • Water Source Status 16 / 18 Active
  • Predator Corridors 7 mapped
  • Biome Sync Latency 1.8s avg
PRIDE TERRITORY A
GRAZING ZONE
Acoustic Monitoring Arrays

Listen to the
frequency
of life.

Passive acoustic networks capture 24/7 bioacoustic signatures. AI classifies 4,200+ species calls, detects poaching events, and monitors stress vocalizations as behavioral health indicators.

Live Signal · Array 07 · Serengeti North
{acousticBars.map((bar, i) => (
))}
20Hz 500Hz 4kHz 16kHz 40kHz
Detection
4,213
Species Classified
Response
1.2s
Threat Alert Latency
Uptime
99.7%
Array Availability
Range
8km
Hydrophone Radius
Non-Invasive Genomic Sampling

DNA reveals
what eyes
cannot.

{genomeCards.map((item, index) => (
{item.code}
{item.name}
{item.sci}
{item.pct}% genome mapped
))}
); }