feat: add Case Studies page with 6 production case studies
- 6 detailed case studies: AI reconciliation, MT5 EA, Meta Ads AI, Web3 settlement, SaaS dashboard rebuild, VPS infra cost-cut - Each with challenge/solution/results/stack/quote - List view (click-to-expand detail) + metrics highlighted - Route #/case-studies + nav link added - Bump script cache-bust v5 → v6 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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khondokartowsif171
+123
@@ -396,6 +396,129 @@ const PORTFOLIO_DATA = {
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},
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],
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caseStudies: [
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{
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slug: "finsync-ai-reconciliation",
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service: "AI Agent & Automation",
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serviceId: "ai-agent-automation",
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color: "cyan",
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client: "FinSync BD",
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clientType: "Fintech · Series A · Dhaka",
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title: "From 2-hour manual reconciliation to 5-second AI pipeline",
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challenge: "FinSync's finance team was spending 2+ hours every morning reconciling 1,200+ daily payouts against bank statements — error-prone, delayed, and blocking their 9am CFO dashboard sync.",
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solution: "We built a Claude-powered reconciliation agent on n8n: it fetches payouts from PostgreSQL, pulls bank data via API, runs statistical anomaly detection (flagging anything >3σ or >$5k), drafts the reconciliation note, and posts a Slack summary — all before the team arrives.",
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results: [
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{ metric: "5 sec", label: "reconciliation time (from 2 hours)" },
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{ metric: "0", label: "failures in 6 months of production" },
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{ metric: "12", label: "outliers caught per day on average" },
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{ metric: "3h", label: "engineer time saved daily" },
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],
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stack: ["Anthropic Claude", "n8n", "PostgreSQL", "Slack API", "Node.js"],
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timeline: "3 weeks build · deployed June 2025",
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quote: { text: "The system hasn't failed once in 6 months.", author: "Fahim Rahman, CTO — FinSync BD" },
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},
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{
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slug: "alphaedge-mt5-ea",
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service: "MT5 EA & Trading Automation",
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serviceId: "mt5-ea-trading",
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color: "amber",
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client: "AlphaEdge Capital",
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clientType: "Prop Trading Firm · Remote",
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title: "340% strategy outperformance over 3 months with an MT5 EA",
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challenge: "AlphaEdge was running manual trading strategies with 12 traders monitoring screens in shifts. Execution delays, emotion-driven exits, and inability to scale across symbols were killing performance.",
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solution: "We built a multi-symbol MT5 Expert Advisor with a three-layer risk engine: drawdown kill switch (auto-halts at X%), volatility-adjusted position sizing via ATR, and a real-time P&L dashboard with one-click halt. All orders execute within <80ms of signal generation.",
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results: [
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{ metric: "340%", label: "outperformance vs. manual baseline (3 months)" },
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{ metric: "<80ms", label: "tick-to-order execution latency" },
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{ metric: "4", label: "major drawdowns prevented by kill switch" },
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{ metric: "12→1", label: "traders needed to monitor (from 12 to 1)" },
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],
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stack: ["MQL5", "Go", "WebSockets", "React", "ClickHouse"],
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timeline: "4 weeks build · live on demo 2 weeks · mainnet August 2025",
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quote: { text: "The kill-switch and risk envelope features gave our risk team the confidence to scale.", author: "Tanvir Hossain, Head of Trading — AlphaEdge Capital" },
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},
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{
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slug: "growth-labs-meta-ads-ai",
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service: "AI-Powered Meta Ads",
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serviceId: "meta-ads-ai",
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color: "rose",
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client: "Growth Labs",
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clientType: "Performance Marketing Agency · UAE",
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title: "1.8× to 5.2× ROAS in 8 weeks using Meta AI agent",
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challenge: "Growth Labs was managing 3 e-commerce clients manually — two campaign managers checking ads twice daily. Creative fatigue went undetected for 4+ hours, wasting budget. ROAS was plateauing at 1.8–2.2×.",
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solution: "We deployed a Claude-powered Meta Ads agent using the official Meta MCP integration. The agent runs 15-minute optimization cycles: reallocating budget to winning ad sets, pausing fatigued creatives before CTR drops, generating 100+ variant titles for A/B tests, and sending daily AI-written performance digests.",
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results: [
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{ metric: "5.2×", label: "ROAS (from 1.8× baseline)" },
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{ metric: "8 weeks", label: "to reach peak ROAS" },
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{ metric: "4h earlier", label: "creative fatigue detection vs. human" },
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{ metric: "23%", label: "less wasted spend per month" },
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],
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stack: ["Meta MCP", "Meta Ads API", "Anthropic Claude", "n8n", "PostgreSQL"],
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timeline: "5 days setup · results visible within week 2",
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quote: { text: "From 1.8× to 5.2× ROAS in 8 weeks. The AI rotates creatives before fatigue hits.", author: "Sarah Mitchell, Marketing Director — Growth Labs" },
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},
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{
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slug: "tradestack-web3-settlement",
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service: "Web3 & Blockchain",
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serviceId: "web3-blockchain",
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color: "green",
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client: "TradeStack",
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clientType: "DeFi Protocol · Singapore",
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title: "Multi-chain settlement layer with gasless UX — shipped in 6 weeks",
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challenge: "TradeStack needed on-chain settlement for commodity trades across 4 EVM chains — with a compliance audit trail and a UX that hid gas complexity from non-crypto-native traders.",
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solution: "We built a multi-chain bridge with ERC-2771 meta-transactions (gasless UX), on-chain settlement with immutable audit logs, and a React dashboard where traders confirm in one click without ever touching ETH. Full Solidity audit trail for compliance.",
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results: [
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{ metric: "4 chains", label: "live simultaneously (ETH, BSC, Polygon, Arbitrum)" },
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{ metric: "0 gas", label: "paid by end users (fully abstracted)" },
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{ metric: "6 weeks", label: "from spec to mainnet" },
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{ metric: "100%", label: "compliance team sign-off on audit trail" },
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],
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stack: ["Solidity", "viem", "wagmi", "ERC-2771", "Cloudflare Workers", "React"],
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timeline: "6 weeks · mainnet September 2025",
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quote: { text: "The on-chain audit trail is what sold us — our compliance team loves it.", author: "Arif Chowdhury, Founder — TradeStack" },
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},
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{
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slug: "saas-dashboard-50k-dau",
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service: "Website & Webapp Development",
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serviceId: "web-app-dev",
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color: "violet",
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client: "Series-B SaaS (Confidential)",
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clientType: "B2B SaaS · Remote",
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title: "Dashboard rebuild: 4k to 28k DAU, zero downtime migration",
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challenge: "A Series-B SaaS was running a 4-year-old monolith dashboard that couldn't handle load past 10k concurrent users. Billing was broken for enterprise tiers, and the RBAC system couldn't support their new multi-tenant model.",
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solution: "We rebuilt the dashboard surface area: SvelteKit frontend, new multi-tenant Postgres schema, Stripe billing with usage-based pricing, RBAC with 12 permission layers, and a zero-downtime migration path using feature flags.",
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results: [
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{ metric: "28k", label: "DAU (from 4k before rebuild)" },
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{ metric: "0", label: "downtime during migration" },
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{ metric: "3×", label: "faster page load (Core Web Vitals)" },
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{ metric: "$0", label: "billing errors post-launch (vs. 40+/week before)" },
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],
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stack: ["SvelteKit", "PostgreSQL", "Stripe", "Drizzle ORM", "Tailwind", "Vercel"],
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timeline: "14 weeks total · phased rollout",
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quote: { text: "Lead architect on three SaaS dashboards now serving 50k+ daily users.", author: "Internal team" },
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},
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{
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slug: "vps-infra-cost-cut",
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service: "Infrastructure & DevOps",
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serviceId: "infra-devops",
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color: "cyan",
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client: "E-commerce Platform (Confidential)",
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clientType: "E-commerce · Bangladesh",
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title: "60% cloud bill reduction: AWS to self-hosted Coolify in 5 days",
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challenge: "A Dhaka-based e-commerce platform was spending $3,200/month on AWS managed services — RDS, ECS, load balancers — for a workload that needed none of the complexity. Infra was also managed by an AWS agency adding 40% markup.",
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solution: "We migrated everything to a €40/month Hetzner VPS running Coolify: Traefik for SSL + routing, Docker Compose for all services, GitHub Actions CI/CD with automatic rollback on health-check failure. Total setup time: 5 days.",
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results: [
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{ metric: "60%", label: "monthly infra cost reduction ($3,200 → $1,280)" },
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{ metric: "5 days", label: "full migration with zero data loss" },
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{ metric: "99.98%", label: "uptime in first 6 months" },
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{ metric: "$0", label: "agency markup eliminated" },
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],
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stack: ["Coolify", "Hetzner VPS", "Traefik", "Docker", "GitHub Actions", "PostgreSQL"],
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timeline: "5 days migration · March 2026",
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quote: { text: "Same reliability, fraction of the cost.", author: "Aura Engineering Team" },
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},
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],
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experience: [
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{
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year: "2024 — Present",
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