Performance optimization built on evidence

I make your site measurably faster by fixing LCP, INP, caching, and bundle weight—without changing your design or functionality.

I diagnose and fix performance at the template level: LCP assets, interaction latency, caching, and script overhead. Every change is measured before and after, so stakeholders see clear results—not just promises.

You can see this approach in SaaS landing optimizations and e-commerce builds, where we tightened LCP, reduced blocking scripts, and preserved design fidelity. Explore more shipped work for examples across dashboards and marketing pages.

What you get

A focused engagement that delivers measurable speed and stability without redesigning your product.

Performance audit with baselines for LCP, INP, TTFB, and payload per route.
Image strategy: sizing, formats, priority usage, and correct `sizes` attributes.
Script discipline: defer/idle loading, dependency pruning, and client-surface scoping.
Caching and ISR guidance aligned to content cadence and personalization needs.
Accessibility and UX stability: CLS reduction, focus management, and predictable loading states.
Documentation of changes plus a checklist for your team to keep performance healthy.

Typical timeline

Performance work should move quickly and visibly. A two-to-four-week sprint is enough to ship improvements and create a sustainable plan.

Baseline (days 1–2): PSI/WebPageTest runs, asset and script inventory, KPI targets set.
Fixes (days 3–10): LCP assets, image sizing, caching, script loading, client boundary scoping.
Validation (days 11–14): Re-test, compare deltas, add monitoring hooks, and document safeguards.
Optional second sprint: deeper bundle trimming, third-party script cleanup, and ongoing telemetry.

Larger products follow the same pattern per template so improvements land without disrupting releases.

Stack, quality bar, and measurement

I use the platform first: Next.js primitives, modern browser APIs, and minimal dependencies. Success is defined by numbers, not by guesswork.

Explicit caching and revalidation rules per route and data source.
Bundle budgets and analysis to keep client JS lean.
Field and lab metrics review, with alerts for regressions.
Accessibility baked in: semantic structure, focus, contrast, and motion settings respected.
Analytics and error monitoring tied to releases for traceability.

For interaction-heavy products, I partner with your team to instrument events and validate changes against real user behavior. The goal: sustained speed, not one-off wins.

Proof and next steps

Performance improvements are only meaningful when they stick. I leave you with baselines, monitoring, and a playbook to maintain gains. To see how this looks in practice, review FocusFlow Dashboard or AI Expense Dashboard, where we shipped measurable gains without slowing down delivery.

Ready to make your site faster? Get in touch and we’ll map a plan that fits your release schedule while improving Core Web Vitals.

FAQs

Which metrics do you target?

I focus on Core Web Vitals (LCP, INP, TTFB, CLS) plus TBT and JavaScript payload per route. Each template gets explicit targets.

Do you optimize both marketing and app pages?

Yes. I tune marketing pages for first paint and SEO and tune app pages for interaction latency, scripting cost, and cache behavior.

Can you work with existing stacks?

Yes. I improve Next.js/React builds by sizing images, pruning scripts, scoping client components, and fixing caching and ISR issues.

How do you prove impact?

Baseline first, then changes with repeatable tests: PSI/WebPageTest, RUM (if available), and change logs tied to releases.

Will this hurt design or UX?

No. I preserve the current design and functionality. Optimizations respect the existing UX and improve perceived speed and stability.

Do you handle analytics and third-party scripts?

Yes. I audit scripts, defer or conditionally load them, and remove redundant trackers that slow the main thread.

Can you add monitoring?

Yes. I wire performance telemetry, error tracking, and alerting so regressions are caught early.