[{"_1":2,"_134":-5,"_135":-5},"loaderData",{"_3":4,"_10":11},"root",{"_5":-5,"_6":7,"_8":9},"user","appId","cm7twdhs6009l11ml868xhxld","wsEndpoint","https://dev.fun","routes/app.$appId",{"_12":13},"appDetail",{"_14":15,"_16":17,"_18":19,"_20":21,"_22":23,"_24":25,"_26":25,"_27":28,"_30":31,"_32":33,"_34":35,"_36":37,"_38":39,"_40":41,"_42":43,"_5":44,"_56":57,"_58":59,"_60":41,"_61":62,"_63":59,"_64":59,"_65":59,"_66":67,"_68":59,"_69":59,"_70":17,"_71":25,"_72":73,"_74":75,"_76":77,"_78":79,"_80":81,"_96":-5,"_97":17,"_98":99,"_130":31,"_131":132,"_133":17},"id","6c79f35f160337440d20","isMyApp",false,"name","Sculptor NGC-253 AI","description","Dive into the cosmic frontier of AI trading with this mind-bending interface for Sculptor NGC-253 AI. 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Our AI adapts to market conditions in real-time.\",\n icon: ,\n codeSnippet: `async function connectSolana() {\n const connection = new Connection(MAINNET);\n await wallet.connect();\n console.log(\"Connected to Solana\");\n return connection;\n}`\n }, {\n title: \"AI Agent Utility\",\n description: \"Advanced neural networks continuously monitor market conditions, predict trends, and execute strategies with superhuman precision.\",\n icon: ,\n codeSnippet: `class AIAgent {\n constructor(params) {\n this.model = loadNeuralNetwork();\n this.threshold = params.threshold;\n }\n \n async analyze(marketData) {\n return this.model.predict(marketData);\n }\n}`\n }, {\n title: \"Token Sniping\",\n description: \"Identify and capitalize on emerging tokens before they hit mainstream. Our AI detects patterns invisible to the human eye.\",\n icon: ,\n codeSnippet: `function snipeToken(tokenAddress) {\n if (aiScore > 85) {\n const tx = buildTransaction({\n target: tokenAddress,\n amount: optimalAmount,\n slippage: 1.5\n });\n return wallet.sendTransaction(tx);\n }\n}`\n }, {\n title: \"X Filter\",\n description: \"Filter the noise and focus on signals from verified crypto influencers and projects with our X (Twitter) integration.\",\n icon: ,\n codeSnippet: `async function filterXFeed() {\n const tweets = await fetchTimeline();\n return tweets\n .filter(t => sentimentScore(t) > 0.7)\n .sort(byEngagementScore);\n}`\n }, {\n title: \"Telegram Filter\",\n description: \"Stay ahead of the curve by monitoring Telegram channels for breaking news and trending tokens with our intelligent filtering.\",\n icon: ,\n codeSnippet: `function monitorTelegramChannels() {\n channels.forEach(async channel => {\n const messages = await getLatestMessages(channel);\n const filtered = tokenDetectionAlgorithm(messages);\n if (filtered.length > 0) notifyUser(filtered);\n });\n}`\n }, {\n title: \"Token Scanner\",\n description: \"Automatically scan and evaluate thousands of tokens against our proprietary algorithm to find hidden gems with massive potential.\",\n icon: ,\n codeSnippet: `function scanTokens() {\n const tokens = getAllTokens();\n const analyzedTokens = tokens.map(t => {\n return {\n address: t.address,\n score: calculateTokenScore(t),\n risk: assessRiskLevel(t)\n };\n });\n return analyzedTokens.filter(t => t.score > 80);\n}`\n }];\n const generateBinaryCode = () => {\n return Array.from({\n length: 100\n }, () => Math.random() > 0.5 ? '1' : '0').join('');\n };\n const CodeBackground = ({\n children\n }) => {\n const [binaryLines, setBinaryLines] = useState([]);\n useEffect(() => {\n const lines = Array.from({\n length: 15\n }, () => generateBinaryCode());\n setBinaryLines(lines);\n const interval = setInterval(() => {\n setBinaryLines(prev => {\n const newLines = [...prev];\n const randomIndex = Math.floor(Math.random() * newLines.length);\n newLines[randomIndex] = generateBinaryCode();\n return newLines;\n });\n }, 500);\n return () => clearInterval(interval);\n }, []);\n return

\n {binaryLines.map((line, i) =>

\n {line}\n

)}\n

\n {children}\n

;\n };\n const ParticleBackground = () => {\n const canvasRef = useRef(null);\n useEffect(() => {\n const canvas = canvasRef.current;\n const ctx = canvas.getContext('2d');\n canvas.width = window.innerWidth;\n canvas.height = window.innerHeight;\n const particles = [];\n const particleCount = 80;\n for (let i = 0; i < particleCount; i++) {\n particles.push({\n x: Math.random() * canvas.width,\n y: Math.random() * canvas.height,\n radius: Math.random() * 1.5 + 0.5,\n color: `rgba(0, ${Math.floor(Math.random() * 155) + 100}, 0, ${Math.random() * 0.5 + 0.2})`,\n vx: Math.random() * 0.2 - 0.1,\n vy: Math.random() * 0.2 - 0.1\n });\n }\n const animate = () => {\n requestAnimationFrame(animate);\n ctx.clearRect(0, 0, canvas.width, canvas.height);\n particles.forEach(particle => {\n ctx.beginPath();\n ctx.arc(particle.x, particle.y, particle.radius, 0, Math.PI * 2);\n ctx.fillStyle = particle.color;\n ctx.fill();\n particle.x += particle.vx;\n particle.y += particle.vy;\n if (particle.x < 0) particle.x = canvas.width;\n if (particle.x > canvas.width) particle.x = 0;\n if (particle.y < 0) particle.y = canvas.height;\n if (particle.y > canvas.height) particle.y = 0;\n });\n };\n animate();\n const handleResize = () => {\n canvas.width = window.innerWidth;\n canvas.height = window.innerHeight;\n };\n window.addEventListener('resize', handleResize);\n return () => window.removeEventListener('resize', handleResize);\n }, []);\n return

\n Sculptor NGC-253 AI\n

Real-time Signals

Early Detection

Auto-Execute

\n Data Sources\n

\n GMGN Data\n

\n PumpFun\n

\n X Trackers\n

\n Trading Tools\n

\n {feature.title}\n

\n About Sculptor NGC-253\n

How to use NGC-253 AI:

Secure

Fast

Intelligent

\n Ready to revolutionize your trading?\n

Trade Smarter

Trade Faster

Trade Safer

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