A mid-scale SaaS platform was struggling with increasing app delays due to outdated code and inefficient APIs. Read how we stepped in with a structured refactoring and optimization approach that significantly improved performance and stability.
As the platform scaled, its load time kept increasing, frustrating users and pushing the product team into constant firefighting. The internal developers had already optimized “what was possible,” yet the app continued to slow down during peak hours.
The results? End users were dropping, switching to the competitor’s app, and eventually the business was suffering revenue loss at macro level.
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To untangle performance issues, we followed a structured, phased plan. Before touching any line of code, we mapped the entire request-response flow, identified issues, and set realistic goals. This helped our team to work with clarity and improve performance without causing any disturbance to people who are already using the app.
We examined outdated packages, redundant logic blocks, and areas where the code was working harder than necessary.
Our team analyzed how data moved across services and removed overlapping endpoints that were slowing everything down.
Using non-intrusive monitoring tools, we tracked how the system behaved under real traffic to pinpoint exact pressure points.
Instead of performing risky big-bang changes, we rewrote critical components in smaller, controlled modules.
As the platform scaled, outdated code and overlapping APIs made the app increasingly slow and unstable. This directly affected user experience, reduced retention, and pushed customers toward competitors.
The app took 4–6 seconds to load key screens, leading to increased drop-offs and reduced session completion rates.
Multiple endpoints were overlapping, causing unnecessary server strain and inconsistent data fetch cycles.
The infrastructure was scaling unnecessarily, increasing monthly cloud spending without proportional performance gains.
Large chunks of code were tightly coupled, making even small changes risky and time-consuming.
After completing a deep technical audit and aligning the optimization roadmap, we shifted from analysis to action. This is where strategic refactoring, smarter API handling, and precise performance tuning came together to deliver tangible, measurable results.
Core screens that earlier took several seconds now loaded in under two, dramatically improving user flow.
Reduced API overhead and cleaner code cut down the infrastructure effort needed during high-traffic windows.
With cleaner, modular code, the team now saves nearly 10–12 hours every week previously spent debugging or rewriting unstable components.
A mid-scale SaaS platform was struggling with increasing app delays due to outdated code and inefficient APIs. Read how we stepped in with a structured refactoring and optimization approach that significantly improved performance and stability.
As the platform scaled, its load time kept increasing, frustrating users and pushing the product team into constant firefighting. The internal developers had already optimized “what was possible,” yet the app continued to slow down during peak hours.
The results? End users were dropping, switching to the competitor’s app, and eventually the business was suffering revenue loss at macro level.
