Case Studies

See how we've helped startups, SMBs, and internal product teams build and scale their software products.

Success Stories

Real Results, Real Impact

Discover how we've helped our clients transform their product ideas into successful software solutions that drive measurable business outcomes.

E-commerce
E-commerce Platform Modernization

Helped a mid-sized e-commerce company modernize their legacy platform and improve conversion rates.

Challenge

The client's legacy e-commerce platform was slow, hard to maintain, and had poor conversion rates. The codebase was outdated, and platform couldn't scale to handle peak traffic.

Solution

We rebuilt frontend using Next.js for better performance and SEO, implemented a modern checkout flow, and optimized backend for scalability. We also added real-time inventory management and improved search functionality.

Key Results

Page Load Time
Reduced by 60%
Conversion Rate
Increased by 35%
Lighthouse Score
Improved to 95+
Scalability
Handles 5x peak traffic
Technologies Used6 tools
Next.jsReactNode.js+3
SaaS
SaaS Product MVP Development

Built a complete SaaS product from scratch for a startup, taking them from concept to launch in 10 weeks.

Challenge

The startup had a vision for a project management tool but lacked the technical resources to build it. They needed a minimum viable product that could validate their market hypothesis quickly.

Solution

We collaborated closely with the founding team to define MVP scope, created wireframes and prototypes, and developed the product using modern technologies. We focused on core features like task management, team collaboration, and project tracking.

Key Results

Time to Market
Launched in 10 weeks
User Retention
45% after 3 months
Error Rate
Less than 0.1%
User Satisfaction
NPS score of 45
Technologies Used5 tools
ReactNode.jsMongoDB+2
DevOps
DevOps Pipeline Optimization

Optimized CI/CD pipelines for a fintech company, reducing deployment time and improving reliability.

Challenge

The client's CI/CD pipelines were slow and unreliable, causing delays in feature releases and increasing the risk of production issues. The deployment process was manual and error-prone.

Solution

We analyzed their existing pipeline architecture, implemented infrastructure as code, and optimized build and deployment processes. We added automated testing, monitoring, and rollback capabilities to improve reliability.

Key Results

Build Time
Reduced by 40%
Deployment Frequency
Increased by 200%
Mean Time to Recovery
Reduced by 50%
Production Incidents
Decreased by 70%
Technologies Used5 tools
AWSDockerKubernetes+2

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