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Performance optimization: speed is revenue.

Faster loads, smaller bundles, higher scores, measured before and after, fixed in order of impact.

IN ONE ANSWER

Dev4ager makes web apps and sites fast, Core Web Vitals, bundle size, slow queries, caching, images, profiled first, fixed in order of impact, and verified with before/after numbers. Faster pages convert better and rank better; that's the business case.

What we optimize

Slowness always has a specific address: a query without an index, a 2MB JavaScript bundle, a hero image shipped at 4K to phones. We profile before touching anything, so effort goes where the milliseconds actually are.

  • Core Web Vitals: LCP, INP, CLS brought into the green
  • Bundle diet: code splitting, tree shaking, dependency audits
  • Database: slow-query analysis, indexes, N+1 elimination
  • Caching: CDN, HTTP, and application-layer strategies
  • Images and fonts: modern formats, sizing, loading discipline
  • Third-party script audit, the analytics tag eating your LCP

How we work

  1. Measure. Lighthouse, real-user data, query profiles. Baseline recorded.
  2. Rank. Fixes ordered by milliseconds-per-hour-of-work.
  3. Fix + review. Changes land as reviewed PRs with no behavior changes.
  4. Prove. Same measurements, after. You get the before/after report.

Stack we reach for

Lighthouse Next.js Vercel Analytics PostgreSQL CDN WebPageTest

A great fit if…

  • Your app got slower every quarter and nobody owns "fast."
  • Ad traffic bounces before the page paints.
  • Google Search Console keeps flagging Core Web Vitals.

Performance FAQs

What exactly do you optimize?

In order of typical impact: server response times and database queries, render-blocking JavaScript and bundle size, images and fonts, caching layers, and third-party scripts. We profile first, every codebase hides its slowness somewhere different.

What improvement can we realistically expect?

Sites that have never had a performance pass typically see load times cut by half or more, and Lighthouse scores move from the 40s–60s into the 90s. We commit to specific targets after profiling, not before.

Do Core Web Vitals really affect SEO and conversion?

Yes on both: Google uses Core Web Vitals as a ranking signal, and conversion studies consistently show measurable drops per 100ms of added load time. Speed is UX, and UX is revenue.

Is this a one-off fix or ongoing work?

Both work. A one-off sprint fixes accumulated debt; performance budgets in CI keep it from creeping back. Most clients do the sprint, then fold monitoring into a maintenance plan.

Related

Database Architecture Bug Fixing DevOps Guide: Our AI workflow

How slow is slow?

Send your URL. We'll run the numbers and quote the sprint that fixes them.

Make It Fast