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Comparison · HR

Zelt vs Ever Gauzy

Side-by-side trajectory, velocity, and editorial themes.

Z5.0

Zelt's crawled feed is its UK payroll blog, not a product changelog.

◆ Current state

Zelt is a UK HR and payroll platform for small businesses, but the feed SparkPulse crawls is its marketing blog rather than a release changelog. The recent entries are SEO content — payroll-software comparisons, HMRC compliance explainers, and pay calculators — aimed at UK small employers. None of it reflects an actual change to the product's capability surface.

◆ Where it's heading

On this feed we can only observe content-marketing cadence, which is steady and concentrated on UK payroll compliance and HR-software buying guides. That tells us where Zelt is aiming its demand generation, not where the product is heading. The product's actual direction is not observable from these entries.

◆ Prediction

The feed will likely keep producing UK payroll and HR SEO content; it does not support a confident prediction about the product's next release.

E7.5

Ever Gauzy ships a burst of CI and Docker plumbing; the product itself stays offscreen

◆ Current state

Every release in this window is build-system and CI work: patch-package fixes, a TypeORM refactor, slimmed Docker images to fit CI RAM-disk scratch, and a migration of Linux CI to sized self-hosted ARC runners. There is no user-visible feature here. The only hint of product surface is a Docker manifest referencing an AI chat plugin, but nothing about it ships in this window.

◆ Where it's heading

The pattern is infrastructure hardening: cutting cold-build times, tightening the e2e pipeline, and controlling CI resource use. This is engineering-velocity work that usually precedes a feature push rather than constituting one, so it says more about how the team builds than where the product is going.

◆ Prediction

Expect continued point-release churn on CI and Docker until the pipeline work settles; the AI chat plugin referenced in the image builds is the one thread to watch for an actual user-facing feature.

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