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<title>Aperture - Predictive Intelligence through AI Agent Swarms</title>
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<span class="font-sans font-semibold text-xl text-white">Aperture</span>
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<a href="#research-section" class="nav-link text-sm text-gray-300 hover:text-white transition-colors">Research</a>
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Aperture
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"Next-Gen Economic AI Agents"
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<section id="research-section" class="mb-24 md:flex md:flex-row md:items-stretch md:gap-12 relative">
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<h2 class="text-4xl font-bold text-center text-white md:text-center">Macro & Micro Research<br>Customized For You</h2>
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<p class="text-lg text-gray-400 text-center md:text-center mb-12 md:mb-0 font-mono font-light">Our agent swarms deliver predictive intelligence tailored to your specific areas of interest, from ahead-of-day briefs to long-term scenario branching.</p>
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<span class="material-symbols-outlined text-5xl text-blue-300 mb-4">event_note</span>
<h3 class="text-base md:text-xl font-semibold text-white mb-3">Ahead-of-Day Plans</h3>
<p class="text-gray-300 text-xs md:text-sm font-mono font-light">Get a full predictive brief before premarket opens.</p>
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<span class="material-symbols-outlined text-5xl text-blue-300 mb-4">assessment</span>
<h3 class="text-base md:text-xl font-semibold text-white mb-3">Weekly / Monthly Scenarios</h3>
<p class="text-gray-300 text-xs md:text-sm font-mono font-light">Forward insights into your personal tracked areas.</p>
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<span class="material-symbols-outlined text-5xl text-blue-300 mb-4">psychology</span>
<h3 class="text-base md:text-xl font-semibold text-white mb-3">Causal Reasoning</h3>
<p class="text-gray-300 text-xs md:text-sm font-mono font-light">Predictions with clear, explainable causal links and forward analysis.</p>
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<span class="material-symbols-outlined text-5xl text-blue-300 mb-4">account_tree</span>
<h3 class="text-base md:text-xl font-semibold text-white mb-3">Scenario Trees</h3>
<p class="text-gray-300 text-xs md:text-sm font-mono font-light">Short, intermediate, & long term outlook with branching predictions.</p>
</div>
<div class="glass-card rounded-2xl p-6 flex flex-col items-center text-center">
<span class="material-symbols-outlined text-5xl text-blue-300 mb-4">radar</span>
<h3 class="text-base md:text-xl font-semibold text-white mb-3">Micro & Macro Signals</h3>
<p class="text-gray-300 text-xs md:text-sm font-mono font-light">Realtime agent analysis of micro and macro signals as they happen.</p>
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</section>
<section id="data-section" class="mb-24 md:flex md:flex-row md:items-stretch md:gap-12 relative">
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<h2 class="text-4xl font-bold text-center text-white md:text-center">Extensive Real-Time Data</h2>
</div>
<div class="md:flex-1 md:flex md:items-start md:justify-center pt-3">
<p class="text-lg text-gray-400 text-center md:text-center mb-12 md:mb-0 font-mono font-light">Aperture's agents continuously analyze a vast, real-time data ecosystem, synthesizing signals from financial markets, economic reports, and alternative sources.</p>
</div>
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<div class="flex items-center gap-3 mb-4">
<span class="material-symbols-outlined text-3xl text-blue-300" title="US Bonds">account_balance</span>
<span class="material-symbols-outlined text-3xl text-blue-300" title="US Stocks">trending_up</span>
<span class="material-symbols-outlined text-3xl text-blue-300" title="Gold">paid</span>
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<h3 class="text-base md:text-xl font-semibold text-white mb-3">US Bonds, US Stocks, Gold, Crypto</h3>
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News, Prices, Events, Earnings, Filings
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<h3 class="text-base md:text-xl font-semibold text-white mb-3">Economy, Labor, Growth Signals</h3>
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FED, BEA, BLS, FRED, OECD
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Large Scale Positions, Real-Time Orderbook Tracking
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Disclosed Trades, Contract Filings, Gov. Decisions
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<h2 class="text-4xl font-bold text-center text-white md:text-center">Multi-Agent AI Core</h2>
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<p class="text-lg text-gray-400 text-center md:text-center mb-12 md:mb-0 font-mono font-light">The core is a multi-agent system designed for deep research, persistent memory, and swarm consensus, enabling autonomous analysis and continuous learning.</p>
</div>
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<h3 class="text-base md:text-xl font-semibold text-white">Record and Search<br>Persistent Memories</h3>
<p class="text-gray-300 text-xs md:text-sm mt-2 flex-grow font-mono font-light">Agents build a persistent knowledge base from observations and research.</p>
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<h3 class="text-base md:text-xl font-semibold text-white">Deep Research<br>with Agent Threads</h3>
<p class="text-gray-300 text-xs md:text-sm mt-2 flex-grow font-mono font-light">Delegate parallel tasks to specialized agents for comprehensive analysis.</p>
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<h3 class="text-base md:text-xl font-semibold text-white">Swarm Consesus<br>for Critical Decisions</h3>
<p class="text-gray-300 text-xs md:text-sm mt-2 flex-grow font-mono font-light">Agents challenge, refine, and merge hypotheses to reach consensus.</p>
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<h3 class="text-base md:text-xl font-semibold text-white">Auto Improve from<br>Reasoning Traces</h3>
<p class="text-gray-300 text-xs md:text-sm mt-2 flex-grow font-mono font-light">Continuously learn from historical outcomes and future projections.</p>
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<p class="text-lg text-gray-300 mb-3 font-mono font-light">Delivered via our:</p>
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AI <span class="text-transparent bg-clip-text bg-gradient-to-r from-blue-300 to-purple-300">Terminal</span>
•
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•
Telegram <span class="text-transparent bg-clip-text bg-gradient-to-r from-blue-300 to-purple-300">Agent</span>
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<h3 class="text-lg font-semibold text-white mb-1">Projecting Market Shifts with Swarm Debates</h3>
<p class="text-gray-400 text-sm font-mono font-light">How our agents argue to find the most probable outcome.</p>
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<p class="text-gray-400 text-sm font-mono font-light">Moving beyond correlation to understand true market drivers.</p>
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<h3 class="text-lg font-semibold text-white mb-1">The 'Aperture' Memory Core</h3>
<p class="text-gray-400 text-sm font-mono font-light">Building persistent, searchable knowledge for AI agents.</p>
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<h3 class="text-lg font-semibold text-white mb-1">Real-time Anomaly Detection</h3>
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const breathingFactor = Math.sin(time * 0.5) * 0.2 + 1.0;
for (let row = 0; row < gridSize; row++) {
for (let col = 0; col < gridSize; col++) {
if (row === Math.floor(gridSize / 2) && col === Math.floor(gridSize / 2)) continue;
const baseX = (col - (gridSize - 1) / 2) * spacing;
const baseY = (row - (gridSize - 1) / 2) * spacing;
const distance = Math.sqrt(baseX * baseX + baseY * baseY);
const maxDistance = (spacing * Math.sqrt(2) * (gridSize - 1)) / 2;
const normalizedDistance = distance / maxDistance;
const breathingX = baseX * breathingFactor;
const breathingY = baseY * breathingFactor;
const waveX = centerX + breathingX;
const waveY = centerY + breathingY;
const baseSize = 1.5 + (1 - normalizedDistance) * 1.5;
const pulseFactor = Math.sin(time * 2 + normalizedDistance * 5) * 0.6 + 1;
const size = baseSize * pulseFactor;
const opacity = 0.5 + Math.sin(time * 1.5 + distance * 0.1) * 0.2 + normalizedDistance * 0.3;
ctx.beginPath();
ctx.arc(waveX, waveY, size, 0, Math.PI * 2);
ctx.fillStyle = MONOCHROME_FILL(opacity);
ctx.fill();
}
}
ctx.beginPath();
ctx.arc(centerX, centerY, 3, 0, Math.PI * 2);
ctx.fillStyle = MONOCHROME_FILL(0.9);
ctx.fill();
requestAnimationFrame(animate);
}
requestAnimationFrame(animate);
}
// --- MODIFIED: Scroll-triggered Animations for Sections ---
function setupSectionAnimations() {
const sections = [
document.querySelector("#research-section"),
document.querySelector("#data-section"),
document.querySelector("#core-section")
];
sections.forEach(section => {
if (!section) return;
const titleDesc = section.querySelector(".section-intro");
const cards = gsap.utils.toArray(section.querySelectorAll(".glass-card"));
if (!titleDesc || !cards.length) return;
gsap.set(titleDesc, {
opacity: 0,
y: 30
});
gsap.set(cards, {
opacity: 0
});
const tl = gsap.timeline({
scrollTrigger: {
trigger: section,
start: "top 60%",
toggleActions: "play none none none" // Changed 'reset' to 'none'
}
});
tl.to(titleDesc, {
opacity: 1,
y: 0,
duration: 0.8,
ease: "power2.out"
});
// --- MODIFIED THIS TWEEN ---
tl.to(cards, {
opacity: 1,
duration: 2.5, // CHANGED: from 0.6 to 2
ease: "linear",
stagger: 0.3 // CHANGED: from 0.15 to 0.5
}, ">"); // CHANGED: from "+=0.2" to ">" to start after title finishes
});
}
// --- MODIFIED: Scroll-triggered Animation for CTA Section ---
function setupCtaAnimation() {
const section = document.querySelector("#cta-section");
if (!section) return;
const title = section.querySelector("h2");
const buttonGroup = section.querySelector(".flex-col.sm\\:flex-row");
const socialIcons = section.querySelector(".flex.items-center.justify-center.gap-8");
if (!title || !buttonGroup || !socialIcons) return;
// Set initial state (with y-transform for the 'jump in')
gsap.set([title, buttonGroup, socialIcons], {
opacity: 0,
y: 20 // Start 20px down
});
const tl = gsap.timeline({
scrollTrigger: {
trigger: section,
start: "top 80%",
toggleActions: "play none none none"
}
});
// 1. Fade in Title
tl.to(title, {
opacity: 1,
y: 0, // Animate to original position
duration: 1.2, // Slower duration
ease: "linear"
});
// 2. Fade in Buttons (with overlap)
tl.to(buttonGroup, {
opacity: 1,
// y: 0,
duration: 1.5, // Slower duration
ease: "linear",
}, "-=0.5"); // Start 0.5s before the *end* of the title animation
// 3. Fade in Socials (with overlap)
tl.to(socialIcons, {
opacity: 1,
// y: 0,
duration: 1.2, // Slower duration
ease: "linear",
}, "-=1.2"); // Start 1.2s before the *end* of the button animation
}
// --- Run All Animations ---
setupCapabilitiesAnimation();
setupPulsatingCirclesAnimation(); // This is for anim-understand ("Auto Improve")
setupConnectAnimation();
setupHarmonizeAnimation();
setupImproveAnimation(); // This is for anim-improve ("Record and Search")
setupSectionAnimations();
setupCtaAnimation();
});
</script>
<script></script>
<script src="https://huggingface.co/deepsite/deepsite-badge.js"></script>
</body>
</html> |