Case Studies

Proof from shipped product and infrastructure work

Case studies show the business problem, the system we built, and measurable results around speed, search, cost, uptime, and scale.

300%

organic growth case study

72%

API cost reduction case

99.99%

uptime target outcomes

Healthcare

12 weeks

How We Built a Doctor Directory with 50,000+ Listings

Problem

HealthConnect BD needed a scalable doctor directory platform that could handle millions of monthly visitors with fast search across 50,000+ doctor profiles. Their existing WordPress site was slow, crashed during peak hours, and ranked poorly in search results.

Solution

We built a completely new platform using Next.js for the frontend and Cloudflare Workers with D1 for the backend. The edge-native architecture ensures every page loads in under 200ms regardless of the user's location. We implemented programmatic SEO to generate optimized pages for every doctor, specialty, and location combination.

Key Results

1M+ monthly visitors
50K+ doctor listings
Sub-200ms page loads
300% organic traffic growth

SaaS

3 weeks

How We Reduced API Costs by 72% Using Cloudflare Workers

Problem

DataFlow Analytics was spending $2,400/month on AWS Lambda and API Gateway for their analytics API processing 500K daily requests. Cold starts were causing 800ms-2s delays, and costs were growing 15% month-over-month as their user base expanded.

Solution

We migrated their entire API layer from AWS Lambda to Cloudflare Workers with Hono.js. Database queries were moved from RDS to Cloudflare D1, and frequently accessed data was cached in KV. The migration eliminated cold starts entirely and reduced costs by 72%.

Key Results

72% cost reduction ($2,400 to $680/month)
3x faster response times
Zero cold starts
99.99% uptime

SaaS

8 weeks

How We Scaled a SaaS Platform to 1 Million Requests/Day

Problem

ProjectHub's project management SaaS was hitting performance limits at 100K daily requests. The monolithic Node.js backend on a single server experienced frequent downtime during peak hours, slow database queries, and a growing queue of user complaints about performance.

Solution

We re-architected the platform with edge computing, database optimization, and intelligent caching. The backend was split into microservices running on Cloudflare Workers, the database was optimized with proper indexing and read replicas, and a multi-layer caching strategy was implemented.

Key Results

10x traffic capacity (100K to 1M+ daily requests)
99.99% uptime (was 97%)
60% faster database queries
$50K/year infrastructure savings

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