Justin Griffin
Founder & Software Engineer, Patternwise
LinkedIn"I'm passionate about building tools that help people make sense of themselves, and the world around them."
I'm building Patternwise because I have experienced firsthand the benefits of AI systems providing unique insights for personal and professional challenges in my life. I believe this new type of software, which can provide personalized guidance and insights, will change how we understand ourselves. And I wanted to point that capability at the hardest problem there is: making sense of your own patterns.
I've been building for the web since 2012, and I’ve spent years in reliability and software engineering, learning the discipline of making systems people can actually trust. It taught me to care about the things that never show up in a demo. You can't always predict what happens at scale, what happens when something breaks, and the exact moment someone decides whether a tool is worth their trust. With something this personal, that moment is everything.
So that's what Patternwise is! It’s that same rigor brought to inner work. Privacy by design, encryption that creates a safe space, and a tool built to help you understand why you show up the way you do, or just to learn a little about yourself.
The engineering behind
Patternwise
Years of building secure, observable, and resilient systems at scale now shape every layer of this platform.
Site Reliability & Infrastructure
- •Bare-metal and cloud Kubernetes deployments using Kubespray and managed services
- •Prometheus and Grafana observability stacks for monitoring and alerting at scale
- •Incident management, postmortems, and production reliability across distributed systems
Security & Encryption
- •Personal encryption architecture with client-side key management
- •Privacy-by-design systems where user data stays user-owned
- •Secure distributed workflows for sensitive data environments
Platform Engineering
- •Full-stack system design spanning web, mobile, and cloud-native backends
- •CI/CD automation, Terraform infrastructure as code, and Kubernetes operators
- •Data management, migrations and enterprise tooling at scale
AI & Data Systems
- •AI agent development and agentic workflow orchestration
- •Knowledge infrastructure including vector, graph, and retrieval systems
- •Structured reasoning pipelines for complex decision-making environments
You can't always see the pattern from inside it.
Patternwise reflects your own history back to you, so the throughlines finally surface.
Get Started