The Problem: As a nomad, I hated cashing out my USD/EUR only to see the rate jump 1% the next day. It s like taking a pay cut just for having bad timing.
The Solution: I built Payding a simple, privacy-first utility that tells you when to cash out.
You log your payment, and Payding benchmarks it. Instead of just "tracking rates," it tracks your profit.
It s the third week of working on my little side project, SimploMail.com, and to speed things up I ve been doing a lot of vibe coding. It s been fun, but a few things became obvious pretty quickly. I stopped using the auto model setting in the IDE. When it silently switches models, the quality drops fast. I can feel when the agent all of a sudden looses its intelligence . So now I just pick one model I trust and stick with it. I also try to keep each AI session focused on one small task. One feature, one change. After it writes the code, I go through everything myself. I check for hard coded config, make sure it didn't quietly delete a unit test to make something compile, and etc. Sometimes it does update unit test just to make it pass . And I never commit without reviewing. The AI is helpful, but it can also remove something important without telling you. I've seen it happen enough times now .
We ve worked in two other eco-systems (India & France), and each has clear strengths and trade-offs in terms of talent density, cost of building, access to capital, speed of decision-making, and openness to risk all vary a lot.
Curious to hear from founders and operators who ve built outside the US:
Which ecosystem punches the most above its weight today?
Where do you see the best balance between talent, capital, and customer access?
Are there cities/countries that are especially strong for specific stages (0 1 vs scaling) or specific verticals (AI, fintech, climate, SaaS, deep tech)?
