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Eitje Tech Stack

Team scheduling and communication platform for hospitality

Information Technology & Services Amsterdam, North Holland 2–10 employees Founded 2017 Self-Owned

Eitje is a small, engineer-heavy Dutch startup building scheduling and team-management tools for hospitality operators. The stack (React, React Native, Rails, AWS) is standard for consumer-grade SaaS, but their active projects reveal a shift toward AI: they're developing an automated scheduling system and building internal BI tooling—both addressing stated pain points around complex scheduling logic and analytics visibility.

Tech Stack 11 technologies

Core StackReact React Native Redux Ruby on Rails AWS CloudFront Netlify Route 53 Gatsby Bitrise Bash

What Eitje Is Building

◆Challenges

Lack of bi system
Lack of ai scheduling
Complex business logic

▲Active Projects

Bi platform
Developing our own bi system
Ai scheduling system
Automatically generate schedules

Hiring Activity

Accelerating5 roles · 3 in 30d

Department

Engineering

4

Support

1

Seniority

Senior

5

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About Eitje

Eitje provides a centralized platform for hospitality teams to manage schedules, internal communications, and operational guidelines. Founded in 2017 and based in Amsterdam, the company serves small-to-medium hospitality businesses (restaurants, bars, hotels) with a mobile-first interface (React Native) and web app (React). The product consolidates roster management, team messaging, and staff documentation into one interface. The team is small (2–10 employees) and engineering-focused, with recent hiring concentrated on backend and platform development.

HeadquartersAmsterdam, North Holland

Company Size2–10 employees

Founded2017

Hiring MarketsNetherlands

Frequently Asked Questions

What tech stack does Eitje use?

React, React Native, Redux, Ruby on Rails, AWS (CloudFront, Route 53), Gatsby, Bitrise, and Netlify. The stack supports both mobile and web clients on a Rails backend.

What is Eitje working on?

Eitje is building an AI scheduling system to automatically generate staff rosters, developing an internal BI platform for analytics, and addressing complex business logic in shift assignment. These projects address stated gaps in scheduling automation and reporting.