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Domain > cernunno.com
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AlienVault OTX
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Date
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2019-06-10
104.28.8.242
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ClassC
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2025-08-25
216.58.208.208
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ClassC
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Port 80
HTTP/1.1 200 OKX-GUploader-UploadID: ABgVH89OXN-eC5tYgT4O5N9HKO2ywJbyY2OuHFiMOdS3K0FLaQnAFjlZOu5dFtywoIqm584XIM6SR6Yx-goog-generation: 1749869612711677x-goog-metageneration: 1x-goog-stored-content-encoding: identityx-goog-stored-content-length: 29093x-goog-hash: crc32cmLH9VQx-goog-hash: md5UQfmSz0VzYRlZ5qTnug5UQx-goog-storage-class: STANDARDAccept-Ranges: bytesContent-Length: 29093Server: UploadServerDate: Mon, 25 Aug 2025 18:27:33 GMTExpires: Mon, 25 Aug 2025 19:27:33 GMTCache-Control: public, max-age3600Last-Modified: Sat, 14 Jun 2025 02:53:32 GMTETag: 5107e64b3d15cd8465679a939ee83951Content-Type: text/htmlAge: 0 !DOCTYPE html>html langen classscroll-smooth>head> meta charsetUTF-8> meta nameviewport contentwidthdevice-width, initial-scale1.0> title>Project Helios: The Predictive Talent Sourcing Platform/title> script srchttps://cdn.tailwindcss.com>/script> script srchttps://cdn.jsdelivr.net/npm/chart.js>/script> link relpreconnect hrefhttps://fonts.googleapis.com> link relpreconnect hrefhttps://fonts.gstatic.com crossorigin> link hrefhttps://fonts.googleapis.com/css2?familyInter:wght@400;500;600;700&displayswap relstylesheet> !-- Chosen Palette: Warm Neutral with teal and slate accents --> !-- Application Structure Plan: A thematic, top-down narrative SPA that guides the user through the four layers of the Helios platform. The structure mirrors the reports logic (Foundation -> Interface -> Intelligence -> Accelerator) to build a clear mental model. Key interactions include a mock semantic search, interactive scoring visualizations, and a generative outreach demo. This user flow was chosen to transform the static report into a compelling product story, demonstrating the value of each layer interactively rather than just describing it. --> !-- Visualization & Content Choices: - Report Info: Platform Architecture -> Goal: Organize -> Viz: Interactive HTML/CSS Diagram -> Interaction: Click-to-scroll -> Justification: Provides an immediate, high-level overview and navigation hub. - Report Info: AI-Powered Enrichment -> Goal: Inform -> Viz: Before/After Text Blocks -> Interaction: Button click to simulate enrichment -> Justification: Clearly demonstrates the value of data processing. - Report Info: Vector-Based Search -> Goal: Demonstrate -> Viz: Mock Search Interface -> Interaction: Typing triggers display of pre-canned results -> Justification: Makes the abstract semantic search concept tangible. - Report Info: Predictive Matching -> Goal: Compare/Inform -> Viz: Donut Charts (Chart.js) -> Interaction: Select candidate to update charts; toggle for DEI mode -> Justification: Effectively visualizes quantitative scores and platform features. - Report Info: Generative Outreach -> Goal: Demonstrate -> Viz: Textarea with button -> Interaction: Click to populate with personalized text -> Justification: Shows the time-saving automation feature clearly. - Library/Method: Chart.js for visualizations. All other visuals are structured HTML/CSS with Tailwind. --> !-- CONFIRMATION: NO SVG graphics used. NO Mermaid JS used. --> style> body { font-family: Inter, sans-serif; background-color: #F8F7F4; /* Warm neutral background */ color: #404040; } .nav-link { transition: color 0.3s ease; } .nav-link:hover, .nav-link.active { color: #0d9488; /* Teal accent */ } .card { background-color: #ffffff; border: 1px solid #e5e7eb; transition: transform 0.3s ease, box-shadow 0.3s ease; } .card:hover { transform: translateY(-5px); box-shadow: 0 10px 15px -3px rgb(0 0 0 / 0.07), 0 4px 6px -4px rgb(0 0 0 / 0.07); } .btn-primary { background-color: #0d9488; color: white; transition: background-color 0.3s ease; } .btn-primary:hover { background-color: #0f766e; } .btn-secondary { background-color: #475569; color: white; transition: background-color 0.3s ease; } .btn-secondary:hover { background-color: #334155; } .section-title { color: #1e293b; } .accent-text { color: #0d9488; } .chart-container { position: relative; width: 100%; max-width: 400px; margin-left: auto; margin-right: auto; height: 200px; } @media (min-width: 768px) { .chart-container { height: 250px; } } .tag { background-color: #e0f2f1; color: #00796b; font-size: 0.75rem; padding: 2px 8px; border-radius: 9999px; font-weight: 500; } /style>/head>body classantialiased> !-- Header & Navigation --> header classbg-white/80 backdrop-blur-md sticky top-0 z-50 border-b border-gray-200> nav classcontainer mx-auto px-4 sm:px-6 lg:px-8> div classflex items-center justify-between h-16> div classflex items-center> span classfont-bold text-xl text-slate-800>🚀 Project Helios/span> /div> div classhidden md:block> div classml-10 flex items-baseline space-x-4> a href#platform classnav-link px-3 py-2 rounded-md text-sm font-medium text-slate-600>Platform/a> a href#search classnav-link px-3 py-2 rounded-md text-sm font-medium text-slate-600>Search/a> a href#intelligence classnav-link px-3 py-2 rounded-md text-sm font-medium text-slate-600>Intelligence/a> a href#outreach classnav-link px-3 py-2 rounded-md text-sm font-medium text-slate-600>Outreach/a> a href#stack classnav-link px-3 py-2 rounded-md text-sm font-medium text-slate-600>Stack/a> /div> /div> /div> /nav> /header> main classcontainer mx-auto px-4 sm:px-6 lg:px-8 py-8 md:py-16> !-- Hero Section --> section classtext-center mb-16 md:mb-24> h1 classtext-4xl md:text-6xl font-bold tracking-tight section-title mb-4>The Predictive Talent Sourcing Platform/h1> p classmax-w-3xl mx-auto text-lg md:text-xl text-slate-600> Transforming talent sourcing from a reactive, manual process into a proactive, data-driven strategic function. We dont just find candidates; we identify and predict future top performers. /p> /section> !-- Platform Architecture Section --> section idplatform classmb-16 md:mb-24 scroll-mt-16> div classtext-center mb-12> h2 classtext-3xl md:text-4xl font-bold section-title>Platform Architecture/h2> p classmt-4 max-w-2xl mx-auto text-lg text-slate-600>Project Helios is built on a layered architecture. Each layer adds a new level of intelligence, creating a comprehensive system that moves from raw data to actionable insights. Click a layer to explore./p> /div> div classgrid grid-cols-1 md:grid-cols-2 lg:grid-cols-4 gap-8> a href#foundation classcard p-6 block text-center> div classtext-4xl mb-4>🌐/div> h3 classfont-bold text-xl text-slate-800>Layer 1: Foundation/h3> p classtext-slate-500 mt-2>The Unified Talent Graph aggregates and enriches data to create a single source of truth./p> /a> a href#search classcard p-6 block text-center> div classtext-4xl mb-4>🔍/div> h3 classfont-bold text-xl text-slate-800>Layer 2: Interface/h3> p classtext-slate-500 mt-2>Generative & Semantic Search understands intent, not just keywords./p> /a> a href#intelligence classcard p-6 block text-center> div classtext-4xl mb-4>💡/div> h3 classfont-bold text-xl text-slate-800>Layer 3: Intelligence/h3> p classtext-slate-500 mt-2>Predictive matching and insights provide actionable recommendations./p> /a> a href#outreach classcard p-6 block text-center> div classtext-4xl mb-4>📨/div> h3 classfont-bold text-xl text-slate-800>Layer 4: Accelerator/h3> p classtext-slate-500 mt-2>AI-assisted outreach automates personalization at scale./p> /a> /div> /section> !-- Layer 1: Foundation --> section idfoundation classmb-16 md:mb-24 scroll-mt-16> div classtext-center mb-12> h2 classtext-3xl md:text-4xl font-bold section-title>span classaccent-text>Layer 1:/span> The Unified Talent Graph/h2> p classmt-4 max-w-2xl mx-auto text-lg text-slate-600>The foundation of Helios is a dynamic Talent Graph. Instead of siloed data, we intelligently ingest public information from numerous sources, then use Natural Language Processing (NLP) to enrich and structure it into a holistic, queryable profile./p> /div> div classmax-w-4xl mx-auto grid grid-cols-1 md:grid-cols-3 gap-8 items-center> div classmd:col-span-1> div classcard p-6> h4 classfont-bold text-lg text-center mb-4>Omni-Source Aggregation/h4> ul classspace-y-3 text-slate-600> li classflex items-center>span classmr-3 text-xl>🔗/span> Professional Networks/li> li classflex items-center>span classmr-3 text-xl>💻/span> Code Repositories/li> li classflex items-center>span classmr-3 text-xl>🎨/span> Portfolio Hubs/li> li classflex items-center>span classmr-3 text-xl>🎓/span> Academic Portals/li> /ul> /div> /div> div classmd:col-span-2 card p-6> h4 classfont-bold text-lg text-center mb-4>AI-Powered Enrichment Demo/h4> p classtext-center text-slate-500 mb-4>Click the button to see how our NLP engine infers skills and identifies key achievements from raw text./p> div classgrid grid-cols-1 sm:grid-cols-2 gap-4> div classborder rounded-lg p-4 bg-gray-50> h5 classfont-semibold mb-2>Before Enrichment/h5> p idbefore-enrichment classtext-sm text-slate-600>Jane Doe. Senior Dev at Acme Inc. Worked on py-project using pandas. Led a team. Increased efficiency by 20%./p> /div> div classborder rounded-lg p-4 bg-teal-50> h5 classfont-semibold mb-2>After Enrichment/h5> div idafter-enrichment classtext-sm text-teal-800>.../div> /div> /div> div classtext-center mt-4> button idenrich-btn classbtn-secondary px-4 py-2 rounded-md text-sm font-semibold>Enrich Profile →/button> /div> /div> /div> /section> !-- Layer 2: Search --> section idsearch classmb-16 md:mb-24 scroll-mt-16> div classtext-center mb-12> h2 classtext-3xl md:text-4xl font-bold section-title>span classaccent-text>Layer 2:/span> Generative & Semantic Search/h2> p classmt-4 max-w-2xl mx-auto text-lg text-slate-600>Move beyond keywords. Helios uses vector-based search to understand the *meaning* and *context* of your query. Describe your ideal candidate in plain language, and our Ideal Candidate Persona (ICP) generator will find conceptually similar profiles./p> /div> div classmax-w-3xl mx-auto card p-6 md:p-8> div classrelative> span classabsolute left-3 top-3.5 text-slate-400>🔍/span> input typetext idsearch-input classw-full pl-10 pr-4 py-3 border-2 border-gray-200 rounded-lg focus:ring-2 focus:ring-teal-500 focus:border-teal-500 transition placeholderTry: senior developer to build our new mobile banking app> /div> div idsearch-results classmt-6 hidden> h4 classfont-semibold text-slate-700>Top Conceptual Matches:/h4> div classmt-4 space-y-4> !-- Candidate 1 --> div classp-4 border rounded-lg flex items-center gap-4> div classw-12 h-12 rounded-full bg-slate-200 flex items-center justify-center font-bold text-slate-500>AD/div> div> h5 classfont-bold text-slate-800>Aria DevOps/h5> p classtext-sm text-slate-500>Lead Mobile Engineer @ FinTech Corp/p> div classmt-1 flex flex-wrap gap-1> span classtag>Swift/span>span classtag>Kotlin/span>span classtag>API Security/span>span classtag>Fintech/span> /div> /div> /div> !-- Candidate 2 --> div classp-4 border rounded-lg flex items-center gap-4> div classw-12 h-12 rounded-full bg-slate-200 flex items-center justify-center font-bold text-slate-500>BK/div> div> h5 classfont-bold text-slate-800>Ben Koder/h5> p classtext-sm text-slate-500>Principal Engineer at SecurePay/p> div classmt-1 flex flex-wrap gap-1> span classtag>Java/span>span classtag>High-Traffic Systems/span>span classtag>Payments/span> /div> /div> /div> /div> /div> /div> /section> !-- Layer 3: Intelligence --> section idintelligence classmb-16 md:mb-24 scroll-mt-16> div classtext-center mb-12> h2 classtext-3xl md:text-4xl font-bold section-title>span classaccent-text>Layer 3:/span> Predictive Matching & Insights/h2> p classmt-4 max-w-2xl mx-auto text-lg text-slate-600>Helios moves from a search tool to a recommendation engine. We provide multi-factor scoring for candidate fit and predict their likelihood to engage, helping you prioritize your outreach effectively. Explore our DEI mode to see how we help mitigate unconscious bias./p> /div> div classmax-w-6xl mx-auto grid grid-cols-1 lg:grid-cols-3 gap-8> div classlg:col-span-1> h4 classfont-bold text-lg text-center mb-4>Select a Candidate/h4> div classspace-y-3> div classcandidate-card card p-4 cursor-pointer border-2 border-teal-500 data-id1> h5 classfont-bold text-slate-800>Chandra V./h5> p classtext-sm text-slate-500>Senior Data Scientist/p> /div> div classcandidate-card card p-4 cursor-pointer data-id2> h5 classfont-bold text-slate-800>Alex Ray/h5> p classtext-sm text-slate-500>Product Manager, Growth/p> /div> /div> div classmt-6 card p-4> div classflex items-center justify-between> label fordei-toggle classfont-semibold text-slate-700>DEI Sourcing Mode/label> div classrelative inline-block w-10 mr-2 align-middle select-none transition duration-200 ease-in> input typecheckbox iddei-toggle classtoggle-checkbox absolute block w-6 h-6 rounded-full bg-white border-4 appearance-none cursor-pointer/> label fordei-toggle classtoggle-label block overflow-hidden h-6 rounded-full bg-gray-300 cursor-pointer>/label> /div> /div> p classtext-xs text-slate-500 mt-2>Anonymizes profiles to help mitigate unconscious bias during initial review./p> /div> /div> div classlg:col-span-2 card p-6 md:p-8> div classgrid grid-cols-1 md:grid-cols-2 gap-8 items-center> div classtext-center> h4 idcandidate-name-display classfont-bold text-2xl text-slate-800 mb-1>Chandra V./h4> p idcandidate-title-display classtext-md text-slate-500>Senior Data Scientist/p> div classmt-8 grid grid-cols-2 gap-4> div> div classchart-container> canvas idfit-score-chart>/canvas> /div> h5 classfont-semibold mt-2>Multi-Factor Fit Score/h5> /div> div> div classchart-container> canvas idengagement-chart>/canvas> /div> h5 classfont-semibold mt-2>Engagement Likelihood/h5> /div> /div> /div> div iddei-view classhidden text-center p-8 bg-slate-50 rounded-lg> div classtext-6xl>👤/div> h4 classfont-bold text-xl mt-4>Profile Anonymized/h4> p classtext-slate-500 mt-2>DEI Mode is active. Review candidates based on skills and experience, not personal identifiers./p> /div> /div> /div> /div> /section> !-- Layer 4: Outreach --> section idoutreach classmb-16 md:mb-24 scroll-mt-16> div classtext-center mb-12> h2 classtext-3xl md:text-4xl font-bold section-title>span classaccent-text>Layer 4:/span> AI-Assisted Outreach/h2> p classmt-4 max-w-2xl mx-auto text-lg text-slate-600>Save hours of manual work. Once youve shortlisted a candidate, our generative AI composes a unique, personalized outreach message that references their specific skills and accomplishments, dramatically increasing response rates./p> /div> div classmax-w-3xl mx-auto card p-6 md:p-8> h4 classfont-bold text-lg mb-4>Generative Outreach Composer/h4> div classmb-4 p-4 border rounded-lg flex items-center gap-4 bg-gray-50> div classw-12 h-12 rounded-full bg-slate-200 flex items-center justify-center font-bold text-slate-500>CV/div> div> h5 classfont-bold text-slate-800>Chandra V./h5> p classtext-sm text-slate-500>Senior Data Scientist @ QuantumLeap AI/p> /div> /div> textarea idoutreach-message classw-full p-3 border rounded-lg bg-slate-50 h-48 readonly>Click the button below to generate a personalized message.../textarea> div classtext-center mt-4> button idgenerate-outreach-btn classbtn-primary px-6 py-2 rounded-md font-semibold>Generate Message 🤖/button> /div> /div> /section> !-- Tech Stack Section --> section idstack classscroll-mt-16> div classtext-center mb-12> h2 classtext-3xl md:text-4xl font-bold section-title>Suggested Technology Stack/h2> p classmt-4 max-w-2xl mx-auto text-lg text-slate-600>Built on a modern, scalable cloud infrastructure designed for high-performance AI applications./p> /div> div classmax-w-4xl mx-auto grid grid-cols-2 md:grid-cols-4 gap-8 text-center> div classcard p-6> h3 classfont-semibold text-lg text-slate-700>Cloud Provider/h3> p classtext-slate-500 mt-2>Google Cloud, AWS, or Azure/p> /div> div classcard p-6> h3 classfont-semibold text-lg text-slate-700>Generative Models/h3> p classtext-slate-500 mt-2>Gemini, Claude 3, etc./p> /div> div classcard p-6> h3 classfont-semibold text-lg text-slate-700>Vector Database/h3> p classtext-slate-500 mt-2>Pinecone, Weaviate, or Milvus/p> /div> div classcard p-6> h3 classfont-semibold text-lg text-slate-700>Integrations/h3> p classtext-slate-500 mt-2>API-first for ATS platforms/p> /div> /div> /section> /main> footer classborder-t border-gray-200 mt-16 md:mt-24> div classcontainer mx-auto px-4 sm:px-6 lg:px-8 py-6 text-center text-slate-500> p>© 2025 Project Helios Interactive Briefing. All rights reserved./p> /div> /footer>script>document.addEventListener(DOMContentLoaded, () > { // --- Navigation Highlighting --- const sections document.querySelectorAll(sectionid); const navLinks document.querySelectorAll(nav a); const observerOptions { root: null, rootMargin: 0px, threshold: 0.5 }; const observer new IntersectionObserver((entries) > { entries.forEach(entry > { if (entry.isIntersecting) { navLinks.forEach(link > { link.classList.toggle(active, link.getAttribute(href).substring(1) entry.target.id); }); } }); }, observerOptions); sections.forEach(section > { observer.observe(section); }); // --- Layer 1: Enrichment Demo --- const enrichBtn document.getElementById(enrich-btn); const afterEnrichmentEl document.getElementById(after-enrichment); afterEnrichmentEl.innerHTML ...; enrichBtn.addEventListener(click, () > { afterEnrichmentEl.innerHTML ` ul classspace-y-1> li>strong>Title:/strong> Senior Software Developer/li> li>strong>Inferred Skills:/strong> span classtag>Python/span> span classtag>Pandas/span> span classtag>Data Analysis/span>/li> li>strong>Accomplishments:/strong> span classtag>Team Leadership/span> span classtag>Efficiency Gains (20%)/span>/li> /ul> `; }); // --- Layer 2: Search Demo --- const searchInput document.getElementById(search-input); const searchResults document.getElementById(search-results); searchInput.addEventListener(keyup, () > { if (searchInput.value.length > 5) { searchResults.classList.remove(hidden); } else { searchResults.classList.add(hidden); } }); // --- Layer 3: Intelligence Demo --- let fitChart, engagementChart; const candidateData { 1: { name: Chandra V., title: Senior Data Scientist, fit: 92, engagement: 78 }, 2: { name: Alex Ray, title: Product Manager, Growth, fit: 85, engagement: 65 } }; const chartOptions { responsive: true, maintainAspectRatio: false, cutout: 70%, plugins: { legend: { display: false }, tooltip: { enabled: false }, }, }; function createChart(ctx, dataValue) { return new Chart(ctx, { type: doughnut, data: { datasets: { data: dataValue, 100 - dataValue, backgroundColor: #0d9488, #e5e7eb, borderColor: #ffffff, #ffffff, borderWidth: 2, borderRadius: 5, } }, options: chartOptions, plugins: { id: centerText, beforeDraw: function(chart) { const width chart.width, height chart.height, ctx chart.ctx; ctx.restore(); const fontSize (height / 114).toFixed(2); ctx.font `bold ${fontSize}em sans-serif`; ctx.textBaseline middle; const text `${dataValue}%`, textX Math.round((width - ctx.measureText(text).width) / 2), textY height / 2; ctx.fillStyle #1e293b; ctx.fillText(text, textX, textY); ctx.save(); } } }); } function updateCharts(candidateId) { const data candidateDatacandidateId; if (fitChart) fitChart.destroy(); if (engagementChart) engagementChart.destroy(); const fitCtx document.getElementById(fit-score-chart).getContext(2d); const engagementCtx document.getElementById(engagement-chart).getContext(2d); fitChart createChart(fitCtx, data.fit); engagementChart createChart(engagementCtx, data.engagement); const candidateNameDisplay document.getElementById(candidate-name-display); const candidateTitleDisplay document.getElementById(candidate-title-display); candidateNameDisplay.textContent data.name; candidateTitleDisplay.textContent data.title; } const candidateCards document.querySelectorAll(.candidate-card); candidateCards.forEach(card > { card.addEventListener(click, () > { candidateCards.forEach(c > c.classList.remove(border-teal-500, border-2)); card.classList.add(border-teal-500, border-2); updateCharts(card.dataset.id); }); }); const deiToggle document.getElementById(dei-toggle); const deiView document.getElementById(dei-view); const normalView deiView.previousElementSibling; deiToggle.addEventListener(change, (e) > { if (e.target.checked) { normalView.classList.add(hidden); deiView.classList.remove(hidden); } else { deiView.classList.add(hidden); normalView.classList.remove(hidden); } }); updateCharts(1); // Initial load // --- Layer 4: Outreach Demo --- const generateBtn document.getElementById(generate-outreach-btn); const outreachMsg document.getElementById(outreach-message); generateBtn.addEventListener(click, () > { outreachMsg.value `Subject: Exploring data science opportunitiesHi Chandra,I came across your profile and was particularly impressed by your work on scaling machine learning models at QuantumLeap AI. Your expertise in predictive analytics is exactly what we look for in senior members of our team.We are currently building out a new initiative focused on relevant project area and I believe your background could be a fantastic fit.Would you be open to a brief chat next week to discuss?Best,Recruiter Name`; });});/script>/body>/html>
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