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Good News. Tech Stack

Digital performance agency building automated platforms with AI and integrations

IT Services and IT Consulting Breda 11–50 employees Founded 2023 Public Company

Good News is a 11–50 person digital performance agency in Breda combining tech, data, and creative work. The stack—n8n, Make, Zapier, Python, JavaScript, Laravel, React, Next.js—reflects a no-code/low-code automation-first approach paired with lightweight custom backend and frontend work. The pain-point list signals internal tension around AI adoption velocity, and the project focus on automated content flows and new AI services suggests they're actively experimenting with LLM-powered offerings while building integration infrastructure for clients.

Tech Stack 11 technologies

What Good News. Is Building

Challenges

  • Accelerating ai adoption
  • Slow ai adoption

Active Projects

  • Automated content flows
  • Internal tools
  • New ai services
  • Integration scripts

Hiring Activity

Accelerating5 roles · 3 in 30d

Department

Engineering
5

Seniority

Mid
4
Senior
1
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About Good News.

Good News operates as a digital performance agency serving mid-market clients who need high-performing platforms and campaigns. They combine automation tools (n8n, Make, Zapier), backend languages (PHP, Laravel, Symfony, Python), and modern frontend frameworks (React, Next.js) to ship integrated solutions. A proprietary post-launch program called Beyond the Platform™ extends engagement beyond initial delivery. The team is currently engineering-focused with mid to senior-level hires, all based in the Netherlands, and hiring velocity is accelerating.

HeadquartersBreda
Company Size11–50 employees
Founded2023
Hiring MarketsNetherlands

Frequently Asked Questions

What tech stack does Good News use?

Good News uses n8n, Make, and Zapier for automation; Python and PHP/Laravel/Symfony for backend; and React and Next.js for frontend. They also work with JavaScript and Cursor for development.

What is Good News working on?

Active projects include automated content flows, internal tools, new AI services, and integration scripts. They are addressing internal challenges around accelerating AI adoption.

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