HiBob vs Ever Gauzy
Side-by-side trajectory, velocity, and editorial themes.
HiBob is methodically turning Bob into a programmable system of record for HR.
HiBob is in a sustained API-expansion phase, opening nearly every part of Bob — hiring, attendance, time off, goals, learning, and employee data — to programmatic access. Recent releases add full-lifecycle attendance management, new hiring endpoints, and an OAuth-based MCP server for connecting AI tools. The consistent goal is to make Bob the authoritative, integrable HR data layer.
The direction is developer- and integration-first: each release either fills an API gap or hardens access controls, and the newer MCP and field-level-permission work points toward secure AI-agent access to HR data. HiBob is building the plumbing for Bob to sit at the center of a customer's HR tech stack rather than as an endpoint. The surface is likely to keep widening endpoint by endpoint.
The OAuth MCP server and field-level permissions suggest a more secure, agent-ready API surface is coming next, likely extending MCP tool coverage across the same domains the Public API already spans.
Ever Gauzy ships a burst of CI and Docker plumbing; the product itself stays offscreen
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.
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.
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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