Founder / CEO & CTO
Owns the business end to end — the strategy, the customer conversations, and the technical foundation everything runs on. Sets direction and stays hands-on with systems and infrastructure.
About us
A small team, learning in public, building with discipline
HOACH Systems was founded in September 2026 on one belief: the way to become real automation experts is to learn the fundamentals, build small things, and talk to real customers — in that order.
The team
Clear mandates, one shared foundation. Everyone understands the fundamentals.
Automation Engineer
Designs and builds the workflows, integrations, and safety controls at the heart of every project.
Operations / Marketing
Keeps the company running day to day and communicates honestly about what we do and how we work.
Our principles
These aren't poster slogans. They decide what we take on and what we turn down.
Learn before selling
We master the fundamentals of AI automation before we promise it to anyone.
Build small before building large
Focused experiments come first. Scale only what has been proven.
Speak to customers before building major products
Real conversations beat assumptions. Discovery drives what we build.
Don't automate everything for everyone
We choose one niche and one problem, and go deep instead of wide.
No SaaS before proving the problem
A product is only worth building after the underlying problem is validated.
Safeguards on high-risk automations
Anything risky runs with human review and explicit safety controls.
Everyone understands the fundamentals
Everyone on the team knows the basics — no single point of understanding.
Every principle above exists for one reason: automation should make a business safer and faster, not more fragile.
What we're doing right now
Week 1 — Learning & Foundation
We're at the start, and we're honest about it. Here is our exact priority list — nothing hidden, nothing embellished. When a problem you bring us matches what we're learning, you get our full attention.
Talk about a problem to solve- 01Finish our infrastructure
- 02Learn AI automation fundamentals
- 03Learn APIs, JSON, webhooks, and workflows
- 04Learn n8n
- 05Build small automation experiments
- 06Research industries and problems
- 07Choose one niche + one problem