Merge version_3 into main

Merge version_3 into main

src/app/layout.tsx

@@ -5,36 +5,22 @@ import { ServiceWrapper } from "@/components/ServiceWrapper";
 import Tag from "@/tag/Tag";
 
 const roboto = Roboto({
-  variable: "--font-roboto",
+  variable: "--font-roboto",  subsets: ["latin"],
-  subsets: ["latin"],
   weight: ["100", "300", "400", "500", "700", "900"],
 });
 
 export const metadata: Metadata = {
-  title: "PreFOMO - AI Attention Ignition Intelligence for Solana",
+  title: "PreFOMO - AI Attention Ignition Intelligence for Solana",  description: "Institutional-grade attention pattern analysis for Solana tokens. Detect early narrative acceleration before mainstream recognition using PreFOMO's proprietary AI model.",  keywords: "Solana, token analysis, attention patterns, AI model, market intelligence, narrative analysis",  metadataBase: new URL("https://prefomo.io"),
-  description: "Institutional-grade attention pattern analysis for Solana tokens. Detect early narrative acceleration before mainstream recognition using PreFOMO's proprietary AI model.",
-  keywords: "Solana, token analysis, attention patterns, AI model, market intelligence, narrative analysis",
-  metadataBase: new URL("https://prefomo.io"),
   alternates: {
-    canonical: "https://prefomo.io",
+    canonical: "https://prefomo.io"},
-  },
   openGraph: {
-    title: "PreFOMO - Detect Attention Before It Becomes Obvious",
+    title: "PreFOMO - Detect Attention Before It Becomes Obvious",    description: "AI-powered early attention detection for Solana ecosystems. Research tool for serious analysts.",    type: "website",    siteName: "PreFOMO",    images: [
-    description: "AI-powered early attention detection for Solana ecosystems. Research tool for serious analysts.",
-    type: "website",
-    siteName: "PreFOMO",
-    images: [
       {
-        url: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3ARmNDwTs0D2VRosYltPN2NQeeu/abstract-dark-digital-space-with-animate-1772563778711-7583cd68.png",
+        url: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3ARmNDwTs0D2VRosYltPN2NQeeu/abstract-dark-digital-space-with-animate-1772563778711-7583cd68.png",        alt: "PreFOMO - AI Attention Analysis"},
-        alt: "PreFOMO - AI Attention Analysis",
-      },
     ],
   },
   twitter: {
-    card: "summary_large_image",
+    card: "summary_large_image",    title: "PreFOMO - Attention Intelligence",    description: "Institutional AI analysis for Solana token attention patterns",    images: ["https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3ARmNDwTs0D2VRosYltPN2NQeeu/abstract-dark-digital-space-with-animate-1772563778711-7583cd68.png"],
-    title: "PreFOMO - Attention Intelligence",
-    description: "Institutional AI analysis for Solana token attention patterns",
-    images: ["https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3ARmNDwTs0D2VRosYltPN2NQeeu/abstract-dark-digital-space-with-animate-1772563778711-7583cd68.png"],
   },
   robots: {
     index: true,

src/app/page.tsx

@@ -67,9 +67,9 @@ export default function HomePage() {
       <div id="metrics" data-section="metrics">
         <MetricCardTwo
           metrics={[
-            { id: "1", value: "0-100", description: "PreFOMO Index Range" },
+            { id: "1", value: "0-100", description: "PreFOMO Index Range—unified scoring framework from dormant to ignition" },
-            { id: "2", value: "<2s", description: "Analysis Latency" },
+            { id: "2", value: "<2s", description: "<2s Analysis Latency—instant market intel at scale" },
-            { id: "3", value: "5+", description: "Signal Dimensions" },
+            { id: "3", value: "5+", description: "5+ Signal Dimensions—comprehensive attention pattern coverage" },
           ]}
           title="Core Capabilities"
           description="Real-time attention pattern analysis across multiple signal vectors"
@@ -86,19 +86,13 @@ export default function HomePage() {
           features={[
             {
               icon: Zap,
-              title: "PreFOMO Index",
+              title: "PreFOMO Index",              description: "Proprietary scoring model quantifying attention ignition intensity. Measures narrative momentum across social channels."},
-              description: "Proprietary scoring model quantifying attention ignition intensity. Measures narrative momentum across social channels.",
-            },
             {
               icon: Flame,
-              title: "Ignition Phase",
+              title: "Ignition Phase",              description: "Five-stage classification system. Dormant → Stirring → Accelerating → Early Ignition → Ignition Window."},
-              description: "Five-stage classification system. Dormant → Stirring → Accelerating → Early Ignition → Ignition Window.",
-            },
             {
               icon: TrendingUp,
-              title: "Narrative Velocity Curve",
+              title: "Narrative Velocity Curve",              description: "Real-time tracking of narrative acceleration. Identifies inflection points before mainstream adoption."},
-              description: "Real-time tracking of narrative acceleration. Identifies inflection points before mainstream adoption.",
-            },
           ]}
           title="What PreFOMO Measures"
           description="Advanced AI signals tracking early attention patterns in Solana ecosystems"
@@ -115,29 +109,19 @@ export default function HomePage() {
           features={[
             {
               icon: Target,
-              title: "Micro-mention Density",
+              title: "Micro-mention Density",              description: "Concentration of token references in discussions. Early indicator of emerging narrative penetration."},
-              description: "Concentration of token references in discussions. Early indicator of emerging narrative penetration.",
-            },
             {
               icon: Activity,
-              title: "Reply-to-Impression Anomalies",
+              title: "Reply-to-Impression Anomalies",              description: "Unusual engagement patterns suggesting organic discussion acceleration independent of artificial amplification."},
-              description: "Unusual engagement patterns suggesting organic discussion acceleration independent of artificial amplification.",
-            },
             {
               icon: Layers,
-              title: "Clustered Attention Bursts",
+              title: "Clustered Attention Bursts",              description: "Simultaneous spikes across independent discussion channels. Signals true community attention coalescence."},
-              description: "Simultaneous spikes across independent discussion channels. Signals true community attention coalescence.",
-            },
             {
               icon: Eye,
-              title: "Silent Accumulation Windows",
+              title: "Silent Accumulation Windows",              description: "Low-volume periods preceding attention explosions. Institutional accumulation detection framework."},
-              description: "Low-volume periods preceding attention explosions. Institutional accumulation detection framework.",
-            },
             {
               icon: Gauge,
-              title: "Narrative Acceleration",
+              title: "Narrative Acceleration",              description: "Rate of change in discourse intensity. Identifies exponential growth trajectories before recognition."},
-              description: "Rate of change in discourse intensity. Identifies exponential growth trajectories before recognition.",
-            },
           ]}
           title="Signal Architecture"
           description="Five-dimensional attention analysis framework for early pattern detection"
@@ -152,41 +136,17 @@ export default function HomePage() {
         <TestimonialCardThirteen
           testimonials={[
             {
-              id: "1",
+              id: "1",              name: "Marcus Chen",              handle: "@mchen_research",              testimonial: "PreFOMO identified the attention surge 2 weeks before mainstream recognition. The signal quality is institutional-grade.",              rating: 5,
-              name: "Marcus Chen",
+              imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3ARmNDwTs0D2VRosYltPN2NQeeu/professional-headshot-of-a-young-tech-en-1772563778085-37cf0eea.png?_wi=1",              imageAlt: "Marcus Chen"},
-              handle: "@mchen_research",
-              testimonial: "PreFOMO identified the attention surge 2 weeks before mainstream recognition. The signal quality is institutional-grade.",
-              rating: 5,
-              imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3ARmNDwTs0D2VRosYltPN2NQeeu/professional-headshot-of-a-young-tech-en-1772563778085-37cf0eea.png?_wi=1",
-              imageAlt: "Marcus Chen",
-            },
             {
-              id: "2",
+              id: "2",              name: "Sofia Rodriguez",              handle: "@sofiacrypto",              testimonial: "The narrative velocity analysis is unlike anything else. Real data-driven insights, no hype language.",              rating: 5,
-              name: "Sofia Rodriguez",
+              imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3ARmNDwTs0D2VRosYltPN2NQeeu/professional-headshot-of-a-financial-ana-1772563778494-08626fe4.png?_wi=1",              imageAlt: "Sofia Rodriguez"},
-              handle: "@sofiacrypto",
-              testimonial: "The narrative velocity analysis is unlike anything else. Real data-driven insights, no hype language.",
-              rating: 5,
-              imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3ARmNDwTs0D2VRosYltPN2NQeeu/professional-headshot-of-a-financial-ana-1772563778494-08626fe4.png?_wi=1",
-              imageAlt: "Sofia Rodriguez",
-            },
             {
-              id: "3",
+              id: "3",              name: "Alex Park",              handle: "@alexpark_dev",              testimonial: "As a builder, I use PreFOMO to understand community sentiment before protocol launches. Invaluable intelligence.",              rating: 5,
-              name: "Alex Park",
+              imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3ARmNDwTs0D2VRosYltPN2NQeeu/professional-headshot-of-a-blockchain-de-1772563778939-ed904e5e.png?_wi=1",              imageAlt: "Alex Park"},
-              handle: "@alexpark_dev",
-              testimonial: "As a builder, I use PreFOMO to understand community sentiment before protocol launches. Invaluable intelligence.",
-              rating: 5,
-              imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3ARmNDwTs0D2VRosYltPN2NQeeu/professional-headshot-of-a-blockchain-de-1772563778939-ed904e5e.png?_wi=1",
-              imageAlt: "Alex Park",
-            },
             {
-              id: "4",
+              id: "4",              name: "James Wilson",              handle: "@jwilson_trader",              testimonial: "The accuracy of early ignition detection is remarkable. This is the edge I've been looking for.",              rating: 5,
-              name: "James Wilson",
+              imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3ARmNDwTs0D2VRosYltPN2NQeeu/professional-headshot-of-a-trader-or-inv-1772563779028-becbc88c.png",              imageAlt: "James Wilson"},
-              handle: "@jwilson_trader",
-              testimonial: "The accuracy of early ignition detection is remarkable. This is the edge I've been looking for.",
-              rating: 5,
-              imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3ARmNDwTs0D2VRosYltPN2NQeeu/professional-headshot-of-a-trader-or-inv-1772563779028-becbc88c.png",
-              imageAlt: "James Wilson",
-            },
           ]}
           showRating={true}
           title="Trusted by Researchers & Builders"
@@ -202,45 +162,21 @@ export default function HomePage() {
         <FaqSplitText
           faqs={[
             {
-              id: "1",
+              id: "1",              title: "Is this real-time on-chain data?",              content: "PreFOMO analyzes multi-channel attention signals (social, discussion, engagement metrics). It is not an on-chain oracle. Outputs are model-based estimates derived from off-chain attention patterns."},
-              title: "Is this real-time on-chain data?",
-              content: "PreFOMO analyzes multi-channel attention signals (social, discussion, engagement metrics). It is not an on-chain oracle. Outputs are model-based estimates derived from off-chain attention patterns.",
-            },
             {
-              id: "2",
+              id: "2",              title: "Why do results remain stable for the same input?",              content: "The model is deterministic. Identical inputs generate identical outputs because the scoring algorithm is seeded by the token input. This ensures reproducibility and consistency."},
-              title: "Why do results remain stable for the same input?",
-              content: "The model is deterministic. Identical inputs generate identical outputs because the scoring algorithm is seeded by the token input. This ensures reproducibility and consistency.",
-            },
             {
-              id: "3",
+              id: "3",              title: "Can I trust the PreFOMO score?",              content: "PreFOMO is a research tool demonstrating attention-pattern analysis methodology. Scores are model-based estimates, not certainties. Use as one input among many analytical frameworks."},
-              title: "Can I trust the PreFOMO score?",
-              content: "PreFOMO is a research tool demonstrating attention-pattern analysis methodology. Scores are model-based estimates, not certainties. Use as one input among many analytical frameworks.",
-            },
             {
-              id: "4",
+              id: "4",              title: "What inputs work best?",              content: "Both token tickers (e.g., 'RAY') and contract addresses work. Standard Solana SPL tokens with established discussion channels return stronger signals."},
-              title: "What inputs work best?",
-              content: "Both token tickers (e.g., 'RAY') and contract addresses work. Standard Solana SPL tokens with established discussion channels return stronger signals.",
-            },
             {
-              id: "5",
+              id: "5",              title: "Does PreFOMO predict price?",              content: "No. PreFOMO measures attention acceleration, not price. Attention may precede price movement, but causation is not guaranteed. Price prediction requires different models."},
-              title: "Does PreFOMO predict price?",
-              content: "No. PreFOMO measures attention acceleration, not price. Attention may precede price movement, but causation is not guaranteed. Price prediction requires different models.",
-            },
             {
-              id: "6",
+              id: "6",              title: "Is this financial advice?",              content: "Absolutely not. PreFOMO outputs are informational only. Never base financial decisions solely on model outputs. Consult qualified advisors before trading."},
-              title: "Is this financial advice?",
-              content: "Absolutely not. PreFOMO outputs are informational only. Never base financial decisions solely on model outputs. Consult qualified advisors before trading.",
-            },
             {
-              id: "7",
+              id: "7",              title: "Will there be API integrations?",              content: "Future roadmap includes API access for qualified researchers and institutions. Early access program launching Q2 2025."},
-              title: "Will there be API integrations?",
-              content: "Future roadmap includes API access for qualified researchers and institutions. Early access program launching Q2 2025.",
-            },
             {
-              id: "8",
+              id: "8",              title: "How is the PreFOMO Index computed?",              content: "The index combines five signal dimensions: micro-mention density, engagement anomalies, attention clustering, accumulation patterns, and narrative acceleration. Weighted multi-factor model proprietary to PreFOMO."},
-              title: "How is the PreFOMO Index computed?",
-              content: "The index combines five signal dimensions: micro-mention density, engagement anomalies, attention clustering, accumulation patterns, and narrative acceleration. Weighted multi-factor model proprietary to PreFOMO.",
-            },
           ]}
           sideTitle="Questions Answered"
           sideDescription="Everything you need to know about PreFOMO capabilities, limitations, and proper usage."
@@ -253,14 +189,11 @@ export default function HomePage() {
       {/* Contact Section */}
       <div id="contact-section" data-section="contact-section">
         <ContactSplitForm
-          title="Try PreFOMO Scanner"
+          title="Analyze Your First Token"
           description="Enter a Solana token ticker or contract address to analyze its attention ignition patterns. Results are generated instantly using our proprietary model."
           inputs={[
             {
-              name: "token",
+              name: "token",              type: "text",              placeholder: "Token ticker or contract address",              required: true,
-              type: "text",
-              placeholder: "Token ticker or contract address",
-              required: true,
             },
           ]}
           useInvertedBackground={true}
@@ -268,7 +201,7 @@ export default function HomePage() {
           imageAlt="PreFOMO Scanner Dashboard"
           mediaAnimation="opacity"
           mediaPosition="right"
-          buttonText="Analyze PreFOMO"
+          buttonText="Get Insights Now"
           onSubmit={handleScannerSubmit}
         />
       </div>
@@ -278,8 +211,7 @@ export default function HomePage() {
         <FooterSimple
           columns={[
             {
-              title: "Platform",
+              title: "Platform",              items: [
-              items: [
                 { label: "Scanner", href: "/scan" },
                 { label: "Method", href: "/method" },
                 { label: "Docs", href: "/docs" },
@@ -287,8 +219,7 @@ export default function HomePage() {
               ],
             },
             {
-              title: "Resources",
+              title: "Resources",              items: [
-              items: [
                 { label: "Blog", href: "/blog" },
                 { label: "Research", href: "/research" },
                 { label: "API Docs", href: "/api-docs" },
@@ -296,8 +227,7 @@ export default function HomePage() {
               ],
             },
             {
-              title: "Legal",
+              title: "Legal",              items: [
-              items: [
                 { label: "Terms", href: "/terms" },
                 { label: "Privacy", href: "/privacy" },
                 { label: "Disclaimer", href: "/disclaimer" },
@@ -305,8 +235,7 @@ export default function HomePage() {
               ],
             },
             {
-              title: "Social",
+              title: "Social",              items: [
-              items: [
                 { label: "Twitter / X", href: "https://x.com/prefomo" },
                 { label: "Discord", href: "https://discord.gg/prefomo" },
                 { label: "GitHub", href: "https://github.com/prefomo" },