Make.com vs N8N: Which Should You Use?

Hosted by Aki Wijesundara, PhD and Manu Jayawardana

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AI Automations Bootcamp
Manu Jayawardana and Aki Wijesundara, PhD
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What you'll learn

The core differences between Make.com and n8n

Understand architecture, flexibility, hosting models, and technical depth.

When Make.com is the right choice

Identify use cases suited for speed, simplicity, and low-code workflows.

When n8n makes more sense

Recognize scenarios that require deeper customization, self-hosting, or complex logic.

How to evaluate tradeoffs as a product team

Think through cost, security, scalability, maintainability, and ownership.

A practical decision framework you can reuse

Leave with a structured way to choose tools for different workflow types.

Why this topic matters

Teams often choose automation tools based on familiarity or hype rather than long-term fit. The wrong choice can create scaling issues, security concerns, or technical debt. This session focuses on practical decision-making — helping product and engineering teams select the right tool for their stage, complexity, and operational needs.

You'll learn from

Aki Wijesundara, PhD

AI Founder | Educator | Google AI Accelerator Alum

Aki Wijesundara is an AI leader with a PhD in Machine Learning and extensive experience mentoring startups at Google’s AI Accelerator. With a career spanning both research and applied AI, Aki has taught 5,000+ students worldwide how to design and deploy production-ready AI systems.

He has worked across cutting-edge areas of applied AI, from LangChain and RAG pipelines to observability and large-scale deployment. As a researcher and educator, Aki bridges the gap between theory and practice, making complex systems approachable and actionable for engineers, founders, and product leaders.

Aki is also a frequent speaker and advisor to organizations adopting AI, helping them transition from experimentation to production at scale.

Career highlights

  • Ex–Google AI Accelerator researcher focused on responsible AI and applied ML.
  • PhD in AI & Cognitive Systems with published research across top universities.
  • Former researcher with teams affiliated with MIT, University of Oxford, & King’s College London.
  • Co-founder of Snapdrum — delivered AI systems for finance, education, and healthcare.
  • Built and deployed AI product pipelines used by PMs, startups, and enterprise teams.
  • Instructor for multiple AI builder programs, helping 500+ professionals ship AI features fast.

Manu Jayawardana

Exited AI Founder (Rise AI: 35k Users) | Co-Founder of Krybe and Snapdrum.com

Manu Jayawardana is a serial entrepreneur with multiple AI startup successes. He exited Rise AI, a fintech app with over 35,000 users, to a private investor, demonstrating his ability to build and scale impactful products.

He co-founded Snapdrum, delivering enterprise AI systems and scaling paid acquisition engines that drove 5,000+ premium customers.

He is also Co-Founder & CEO of Krybe, a London-based Voice AI startup serving 1,000+ users and part of the NVIDIA Inception ecosystem. With a background in quant finance and AI engineering, he operates at the intersection of AI, distribution, and execution.

Career highlights

  • Exited Founder, Rise AI — Built an AI investment copilot (35,000+ users) trained on 1,300+ financial sources; exited to a private investor.
  • Co-Founder, Snapdrum — Delivered enterprise AI agents and high-ticket growth systems; scaled funnels to 5,000+ customers.
  • Co-Founder & CEO, Krybe — Built a production-grade Voice AI platform serving 1,000+ users; part of NVIDIA Inception.
  • Creator of the #1 ranked Investment GPT on the OpenAI Store with 30,000+ users.
  • B2B SaaS Analytics CEO — Scaled revenue 10× in one year, serving 5,000+ users.
  • Entrepreneur First Unlock Fellow (2024) — Selected for high-potential deep-tech founders.
  • AI Systems & Growth Architect — Built and scaled 10+ ventures across AI and SaaS.


Previous Students from

Google
Boston Consulting Group (BCG)
OpenAI
NVIDIA
Meta

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