import React, { useState, useEffect, useRef, useCallback } from 'react'; import { useInView } from 'react-intersection-observer'; const TERMINAL_LINES = [ { text: '$ psql -d neuralvault', color: 'var(--text3)' }, { text: 'psql (17.2)', color: 'var(--text3)' }, { text: '', color: '' }, { text: "INSERT INTO reviews (text, customer_id)", color: '#569CD6' }, { text: "VALUES ('Product stopped working after 1 week', 'cust_8821');", color: '#569CD6' }, { text: '', color: '' }, { text: '-- [TRIGGER] ai_sentiment_analyzer FIRES', color: 'var(--amber)' }, { text: 'DistilBERT inference ............. 0.031ms ✓', color: 'var(--green)' }, { text: 'sentiment_score: -0.89 → stored', color: 'var(--green)' }, { text: '-- [TRIGGER] ai_embedder FIRES', color: 'var(--amber)' }, { text: 'text-embedding-3-small ........... 0.44ms ✓', color: 'var(--green)' }, { text: 'embedding: [0.231, -0.445, 0.882, ...+1533 dims] → pgvector', color: 'var(--purple-l)' }, { text: '-- [TRIGGER] xgboost_fraud_scorer FIRES', color: 'var(--amber)' }, { text: 'XGBoost inference ................. 0.008ms ✓', color: 'var(--green)' }, { text: 'fraud_score: 0.14 → stored', color: 'var(--green)' }, { text: '', color: '' }, { text: 'COMMIT — 3 AI models, 1 transaction, 0.48ms total ✓', color: 'var(--green)' }, { text: 'INSERT 1', color: 'var(--text)' }, ]; function CountUp({ end, suffix = '', duration = 1500 }) { const [value, setValue] = useState(0); const { ref, inView } = useInView({ triggerOnce: true, threshold: 0.5 }); const hasAnimated = useRef(false); useEffect(() => { if (inView && !hasAnimated.current) { hasAnimated.current = true; const startTime = performance.now(); const animate = (currentTime) => { const elapsed = currentTime - startTime; const progress = Math.min(elapsed / duration, 1); const eased = 1 - Math.pow(1 - progress, 3); // ease-out cubic setValue(Math.round(eased * end)); if (progress < 1) requestAnimationFrame(animate); }; requestAnimationFrame(animate); } }, [inView, end, duration]); return {value}{suffix}; } export default function Hero({ onLaunchDemo, onViewBenchmarks }) { const [displayedLines, setDisplayedLines] = useState([]); const [currentCharIndex, setCurrentCharIndex] = useState(0); const [currentLineIndex, setCurrentLineIndex] = useState(0); const [isTyping, setIsTyping] = useState(true); const timeoutRef = useRef(null); const resetTerminal = useCallback(() => { setDisplayedLines([]); setCurrentLineIndex(0); setCurrentCharIndex(0); setIsTyping(true); }, []); useEffect(() => { if (!isTyping) return; if (currentLineIndex >= TERMINAL_LINES.length) { setIsTyping(false); timeoutRef.current = setTimeout(resetTerminal, 4000); return; } const line = TERMINAL_LINES[currentLineIndex]; if (line.text === '') { setDisplayedLines((prev) => [...prev, { text: '', color: '' }]); setCurrentLineIndex((i) => i + 1); setCurrentCharIndex(0); return; } if (currentCharIndex === 0) { setDisplayedLines((prev) => [...prev, { text: '', color: line.color }]); } if (currentCharIndex < line.text.length) { timeoutRef.current = setTimeout(() => { setDisplayedLines((prev) => { const updated = [...prev]; const last = updated[updated.length - 1]; updated[updated.length - 1] = { ...last, text: line.text.substring(0, currentCharIndex + 1) }; return updated; }); setCurrentCharIndex((c) => c + 1); }, 18); } else { setCurrentLineIndex((i) => i + 1); setCurrentCharIndex(0); } return () => { if (timeoutRef.current) clearTimeout(timeoutRef.current); }; }, [currentLineIndex, currentCharIndex, isTyping, resetTerminal]); const stats = [ { number: 50, suffix: 'M+', label: 'vectors, sub-100ms p99', sub: 'pgvector + pgvectorscale benchmark' }, { number: 28, suffix: '×', label: 'lower p95 vs Pinecone', sub: 'at 99% recall, 75% lower cost' }, { number: 0.48, suffix: 'ms', label: '3 AI models per INSERT', sub: 'DistilBERT + embedding + XGBoost', isDecimal: true }, ]; return (
{/* Eyebrow badge */}
Production ML Infrastructure
{/* Headline */}

The Database That Thinks.

{/* Subheadline */}

PostgreSQL 17 + pgvector + AI triggers + LangGraph. One system. No separate vector DB. No separate graph DB. No separate search index. Real benchmark data. Real failure analysis.

{/* Animated Terminal */}
neuralvault — zsh — 80×24
{displayedLines.map((line, i) => (
{line.text}
))} {isTyping && }
{/* Stat cards */}
{stats.map((stat, i) => (
{stat.isDecimal ? ( 0.48ms ) : ( )}
{stat.label}
{stat.sub}
))}
{/* CTAs */}
); }