HiBob vs Flatchr
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.
Flatchr layers AI assessment and approval-workflow automation onto its French ATS.
Flatchr is building out three areas of its applicant tracking system: AI (a Flatchr Fit config page to toggle AI features and tune job-offer generation, plus the new Flatchr Skills assessment module), recruitment-authorization (DAR) workflow (external approvers without accounts, automatic reminders on pending requests), and account self-service (a redesigned Subscription page with autonomous seat management). Email deliverability and GDPR compliance get steady maintenance.
The center of gravity is AI-assisted recruiting — candidate assessment and generated job offers, with an admin config layer that Flatchr explicitly frames as foundations for future evolutions. Around it, approval flows and jobboard integrations (Hellowork, AssessFirst, Emploi Territorial) are being made more flexible for French recruiting processes.
Expect the AI configuration surface to grow into more assessment and generation controls, and the promised DAR auto-reminders and external-approval flows to mature. Continued jobboard and compliance work is likely in the background.
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