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Analyzed AI as a source of economic and strategic power, examining US–China competition in semiconductors, cloud infrastructure, digital finance, and technology controls. The research explores how AI shapes global economic security, technological sovereignty, and the emerging international order.
The network for creativity
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Every element feels perfectly placed! 👏
I Built an AI-Powered Quiz Platform in 3 Day Using Only My Phone. The Odds Were (and are) Against Me.
Meet Aicai Quizzes by CFMoon, a quiz creation and exploration platform I built in just three days.
🔗 Try it here: https://aicai.cfmoon.net
Aicai lets you generate quizzes with AI, share them with others, and automatically grade answers using AI, especially useful for open-ended and paragraph-length responses.
But the interesting part isn't just what I built. It's how I built it, and under what circumstances.
1. Building from outside the usual startup ecosystem
I'm not based in the US or another major tech hub. That means dealing with a different set of constraints, from limited access to payment infrastructure like Stripe to fewer opportunities, no access to GoFundMe, Kickstarter, or startup funding and other resources that developers in more privileged ecosystems often take for granted.
Building software is global. Access to the infrastructure surrounding it isn't always so convenient.
2. One person, one laptop, one phone, and AI
I did this entirely on my own.
No co-founder, no team of developers, no marketing department, and no established professional network to lean on. Just my experience as a software engineer, AI tools, and the hardware I already had: an aging laptop and a smartphone.
3. I built Aicai using only my phone. Yeah, why not use my computer? With the little time I have each day, it is hard to sit down and code, so I built it on the go, while on the street, connecting to public WiFi, all while running my already strenuous life.
AI didn't replace my engineering experience. It amplified what I could do with the resources available to me, and it really made the whole thing easier.
4. Almost no runway
I had very little money left to work with. This wasn't a project backed by investment or a comfortable financial cushion.
The Lovable free trial, made possible through Contra Challenges and Lovable, gave me the opportunity to build and ship the product without spending money I couldn't afford to spend.
A big thank-you to both for making that possible.
5. Building while technically homeless
There's one more detail worth mentioning: I'm currently living in a hotel and paying for accommodation by the day.
In other words, I built and shipped a software product while dealing with housing insecurity and the uncertainty that comes with it.
It's very difficult, and I wouldn't recommend it.
Why I'm proud of Aicai
The platform was built with proper software engineering practices and attention to code quality, maintainability, and reliability. Whop, a great platform, handles payments checkout, and Lovable Cloud handles users, registrations and AI features, which I hope to get enough runway to keep it online.
Three days is a short development window, but shipping something meaningful in that time takes more than prompting an AI to generate an application. It takes knowing what to build, making architectural decisions, evaluating the output, and getting the product ready for users, all while dealing with an already difficult life.
Aicai is a small product, but it's also a demonstration of what's possible when willpower beats the odds. That's where my experience as an engineer and tinkerer mattered, I could do it under pressure, under actual constrains and difficulties, and no degree will ever teach you that, only life.
No funding round. No team. No fancy setup. No rich uncle. Just an idea, the skills to execute it, and the willingness to make something with what I had.
This is what I'm building at CFMoon: useful software, built with professional expertise and quality in mind, always.
Explore Aicai: https://aicai.cfmoon.net
Your own secure AI workforce, built on your own data.
Most SMEs pay for one expensive, generalist AI that knows nothing about their business. We're flipping that: a small, focused AI assistant for each department (HR, Accounts, Marketing, Sales, and Operations), each trained on your own business data.
How we build it:
The result is lower cost, higher accuracy, and an AI that actually understands how your business runs.
We're piloting this internally at Indigloo first. If you run an SME and want to see a department assistant in action, DM me. 🚀
For the internal pilot, I'd keep a held-out question set per department and compare RAG alone with RAG plus fine-tuning. Which department do you expect to benefit most from tuning, and what errors would you want it to reduce?