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How I Built an SEO-First AI Career Platform That Actually Ranks (And How I Can Do It For You) - Case study
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The challenge: HiringMessage (AI resume/cover letter platform) competing against Enhancv, Resume.io, Zety, Jobscan.
They had:
• Years of backlinks
• Massive marketing budgets  
• Established brand authority
We had: better architecture.
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Avg SaaS SEO is broken:
- React SPAs = invisible to crawlers
- SSR adds latency
- Monolithic = slow loads
- Poor Core Web Vitals = ranking penalties
So I built the "Traffic Cop Pattern" - a split-architecture system that changed everything.
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The Architecture:
Edge Layer (Cloudflare Workers) → Astro SSG for landing pages → 50-300ms TTFB globally → Lighthouse scores: 95-100
Origin Layer (Fly.io) → Wasp (React/Node) for app logic → Auth, payments, complex features
Router routes intelligently between them.
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Result: ONE unified domain.
Users experience seamless navigation.
Google sees lightning-fast static pages (sub-300ms loads vs competitors' 2-3s).
Competitors are on bloated WordPress/Next.js. We're on the edge.
Speed = rankings. Rankings = traffic. that's it!
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Creatives on Contra have earned over $150M and we are just getting started