Hi, I'm Antoine PedrettiFounder of Helmo Solutions
Cloud/DevOps engineer with scale-up DNA, now building AI products and content in public. Infrastructure, product, and indie hacking — all at once.
I'm a cloud engineer with 3+ years working in the startup ecosystem — shipping production infrastructure at fast-growing companies. One of the platforms I helped scale grew from 0 to 100+ cities in 18 months, processing millions of real-time data points and contributing to a €15M fundraising round.
Working that close to fast scale made me want to be closer to the product itself. So in parallel, I started building my own: AI products, experiments, a content studio, a freelance agency. The empire model — each one teaches me something the next one needs.
I'm also always learning. This year I'm deepening AI engineering, product management, and shipping cadence. I share what I learn as I go.
Active in:
Scale-up DNA, product mindset
Posture stats — the experience without naming employers. Credentials that travel with me, not with the companies I happened to work at.
How I work
Six principles that shape what I build and how I ship. The stack is a consequence of the problem, not the other way around.
Ship first, optimize later
MVPs over polish. Public revision beats private perfection. A shipped B+ ships a week, a perfect A ships never.
AI-native development
AI is infrastructure now, not a feature. Claude Code runs alongside me every day — it's part of the stack, not a gimmick.
Scale-up pragmatism
Production scaling taught me what actually breaks. Overengineering kills more startups than underengineering — I ship for the load I have, not the load I imagine.
Breadth over depth
I'd rather be strong across infra, AI, web, and product than deep in one. The problem picks the stack — currently Terraform, AWS, LangGraph, Next.js, Python.
Product-owner mindset
I don't just execute, I decide what to build. A DevOps background means I also know what the ops-cost of a decision will be — and scope accordingly.
Always learning, always shipping
Courses run while projects are live. Both at once, forever. Learning in public means every course I take shows up in the next thing I build.
Projects
Each card is a bet and a lesson. Thesis first, stack second, what I learned third. The story lives on the blog.
DIGEST
AI research digest for arXiv
The daily flood of research is a distribution problem, not a discovery problem. Personalization solves it.
Multi-agent pipelines break in interesting ways at scale. Cache aggressively. Stream everything. Tiered pricing forces architectural decisions.
Stampo
Digital loyalty cards for small businesses
Paper stamp cards work. They also get lost, smudged, and left in the wrong jacket. Loyalty belongs in the phone wallet, next to the boarding pass.
The product is one screen. The platform integrations are most of the build. Apple PassKit and Google Wallet each have their own publishing review and their own way of refusing to talk to you when you skip a step. Pre-launch pentest caught more than the first week of real users did.
From the blog
Build stories, scale-up lessons, and indie hacker notes. What I think as I ship.