SaaS built in public
I am building small SaaS products and documenting the process: technical choices, mistakes, iterations, and lessons learned without pretending to be more senior than I am.
Indie Hacker · Building SaaS in Public · AI Engineering Student
Computer Engineering student interested in software, industrial automation, and AI. I publicly document the process of building small SaaS products, software experiments, and operational tools inspired by real warehouse and production problems.

What I Build
I build and document small, concrete software experiments connected to real operational problems.
I am building small SaaS products and documenting the process: technical choices, mistakes, iterations, and lessons learned without pretending to be more senior than I am.
I care about simple tools for warehouses, production, QR workflows, tracking, and daily operations where software can remove manual friction.
I keep Arduino, ESP32, and basic embedded systems close because they connect code, sensors, modules, and real problems outside the screen.
How I Work
I am learning seriously by building in public: fewer claims, more practice, more clarity about what I can really do.
I do not use complexity to impress. I remove it until the project breathes better.
I prefer showing real progress, prototypes, and development notes instead of presenting myself as an expert in things I am still consolidating.
I choose tools I understand and can maintain. If Flask, Quart, or HTML/CSS are enough, I start there and add complexity only when it is needed.
I work best where software, automation, logistics, and physical systems meet: warehouse, production, monitoring, and small daily inefficiencies.
Selected Projects
A selection of projects showing what I am building and learning across product, automation, and real systems.
I am not interested in filling a portfolio with disconnected experiments. I would rather show a few projects that genuinely represent how I build software.
Each project points in a clear direction: small SaaS, automation, AI/LLM tooling, or operational software.
Technical Focus
No stack flexing: these are the areas I am using, studying, and consolidating through actual projects.
I am building backend applications with Flask and Quart, plus simple and maintainable HTML/CSS interfaces
C, systems fundamentals, data structures, application logic, and disciplined code reading
AI/LLM tooling, API automations, small agents, assisted workflows, and AI engineering study
Arduino, ESP32, Raspberry Pi, sensors, QR workflows, basic embedded prototypes, and physical operations
Let's talk
If you want to follow the process, discuss a real operational problem, or exchange ideas about automation, AI, and physical systems, send me a message.