We fix the architectural foundation that makes every other optimization work.
You've done the optimization work. But the pages are still slow. These problems probably look familiar.
Images compressed. Bundles split. Lazy-loading everywhere. The rendering layer underneath, the foundation, hasn't been touched.
Stale when it should be fresh. Fresh when it should be cached. Your CDN, ISR, and data layers work against each other.
Your frontend is clean. But APIs take five seconds to respond. Your rendering strategy exposes every one of them.
Client-side rendering delays indexing. For sites with thousands of pages, Google prefers server-rendered content. Your pages exist. They just don't rank.
From chasing symptoms to fixing root cause. From optimization cycles that repeat to architectural change that lasts. Guessing becomes knowing.
We diagnose with field data, define the right rendering strategy for each page type, and implement caching that works together. No guesswork. No wasted optimization cycles.
We start with field data, not lab scores. Map your rendering strategy page by page. Fix what's broken.
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The problem changes from project to project. The process doesn't. Expand each step to see what it looks like in practice.
We map your current rendering approach page-by-page: PPR, SSR, SSG, ISR, CSR. We identify where it's costing you performance. Most enterprises have never audited this layer. The gaps compound over time.
Right strategy for each page type. Static where possible, ISR for dynamic content that tolerates staleness, PPR for selectively fresh regions and SSR only where freshness can't wait. Enterprises often default to SSR everywhere. Server costs spike.
CDN, ISR, and data layer caches aligned to work together. One misconfigured cache header is often the difference between a 3-second page and a 300ms page.
Caching configured to absorb traffic spikes so your slow APIs don't become slow pages. 80% of your traffic should hit cache. When it doesn't, the 20% hitting your backend defines your conversion rate.
We measure with real-user data, not Lighthouse. Lab scores look 30-50% better than what real users experience. That gap is where rankings and conversions decay.
Tag-based and time-based invalidation so content stays fresh without sacrificing cache hit rates. Updates publish when they should. Cached content serves when it should.
Fix the rendering and caching foundation, not the symptoms. We diagnose with field data, then pick the right rendering strategy per route – SSR, ISR, or PPR – and align your cache layers so content is served fast and fresh. LCP and INP are usually rendering and JavaScript problems, so that's where we start.
Repeated failures usually mean the rendering strategy or caching layer is wrong, not that you need another quick patch. We trace each failing metric to its cause with field data and fix it at the foundation – the same approach that took clients to 70% faster LCP.
Passing CWV means fixing what real users experience. We measure field data – the data Google actually uses – find why LCP, INP, or CLS are failing, and fix the rendering, caching, and script issues behind them. Then we confirm the pass in the same field metrics.
Client-side rendering hurts both speed and crawlability – content that depends on JavaScript can be less reliably discovered by some crawlers, so we render critical content in the initial HTML – fast to load and easy to index. That fixes the speed and the SEO at once.
A large share of infra cost is wasted compute – re-rendering pages that could be cached and shipping payloads that could be smaller. We align your caching strategy (ISR, cache-control, CDN) so you serve more from cache and compute less.
Describe your project and an architect will get back with a straight take on what's worth doing and where to start. 12-hour response time.
