About psiLynx

Built by people who understand how websites break.

psiLynx was created by a team with hands-on experience in software development, technical SEO, web performance, product development, and website operations.

We have worked with complex websites where a seemingly harmless release could affect hundreds of pages, where a current Lighthouse score explained almost nothing, and where finding the source of a regression took longer than fixing it.

So we built the website performance monitoring platform we wanted to use ourselves.

Software Development

Technical SEO

Web Performance

Product Operations

One platform for what happens to a website after release.

Background

The experience behind psiLynx

psiLynx brings together experience from several disciplines that rarely fit neatly inside one department. Our background covers how websites are developed, deployed, optimised, monitored, and maintained after they go live.

That combination matters because performance regressions are rarely just a development problem or just an SEO problem. They appear where code, content, infrastructure, third-party services, releases, and real website operations meet.

Software Development

We understand how modern websites are built and how their complexity grows over time. This allows us to look beyond a single score and focus on the technical changes behind it.

Technical SEO

Our experience includes crawling, rendering, redirects, indexation, page templates, Core Web Vitals, and technical changes that can affect large groups of pages.

Web Performance

We know the difference between running an occasional speed test and maintaining performance across repeated releases. psiLynx was designed around scheduled audits, comparable results, and historical data.

Product and Website Operations

Performance work involves developers, SEO specialists, agencies, product teams, and website owners. We designed psiLynx around the way these teams actually investigate changes and report results.

What we bring together

Four perspectives on the same problem

Performance rarely fails inside one discipline, so the platform was designed by people who have worked in all four.

Area	What it means in the product
Development	We understand how changes reach production, and how a small release can affect a large group of pages.
Technical SEO	We understand rendering, redirects, templates, and indexability, and how they interact with performance.
Performance	We separate lab data, field data, and the normal variability between test runs.
Operations	We understand how results are used between releases, investigations, and client reports.

Why we built it

We kept seeing the same problem

On every project the pattern repeated. A site launched in good shape. Releases continued. Scripts, components, integrations, and content were added for perfectly reasonable reasons. Months later the same pages were measurably slower, and nobody could say when it started.

The tools available answered the wrong question. They reported how one page performed right now, on one device, in one moment. What teams actually needed to know was whether the result was normal, when it changed, and how many other pages were affected.

Without that history, every investigation began with archaeology: digging through releases, comparing screenshots, and arguing about whether the site had "always been like that."

The questions that had no good answer

Is this score normal for this page, or is it new?
When did it start changing?
Is it one URL, or the whole template?
Does it affect mobile more than desktop?
Did the fix we shipped last week actually work?

From experience to product

Our experience shaped the product

Most decisions in psiLynx exist because the alternative did not work in practice.

Audits run across an imported URL list, because a sample of ten pages hides the template that is failing.
Mobile and desktop are stored separately, because they do not move together.
Every run is kept, because the useful question is what changed, not what the number is today.

URLs can be grouped by page type, because regressions usually belong to a template rather than a page.
Lab results and available CrUX field data are shown side by side, but never merged.
Reports can be shared without an account, because the people who need them rarely have one.

Principles

How we build psiLynx

Keep lab and field data separate

Lighthouse audits and CrUX field data answer different questions. We present them as distinct sources instead of merging them into one reassuring number.

Store every run

A single result rarely explains anything. History is what turns a score into evidence, so every completed audit is kept and remains comparable.

Report what changed, not who is to blame

The platform shows the affected pages, the changed results, and the run where a decline first appeared. Confirming the cause is still an investigation, and we do not pretend otherwise.

Where the platform is going

We are building a clearer history of website change

Most performance tools are built around the present moment: run a test, read a score, move on. We think the more valuable record is the one that accumulates — what a page looked like last month, which run changed it, and whether the change survived the next release.

That is the direction psiLynx keeps moving in: making the history easier to read, the comparisons easier to trust, and the affected pages easier to find, across sites large enough that nobody can check them by hand.

We would rather be precise about what the data shows than impressive about what it might mean. If you have found something the platform explains badly, we would like to hear about it — support@psilynx.com.

See what we built

Import your URLs, run Lighthouse audits on mobile and desktop, and start building a performance history for your own site.