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)?
Some tech leaders have called for a pause on the development of advanced AI systems like GPT-4.5 and GPT-5.
What do you think? Sources:
- https://twitter.com/GaryMarcus/s...
- https://www.bloomberg.com/news/a...
There are tons of stories about founders launching SaaS products without an existing audience. No Twitter following, no newsletter, no community, nothing. Yet some still manage to get early traction and even hit real MRR.
If you have started from zero, I would love to hear:
How you got your first users
What channels brought the earliest traction
Whether cold outreach works or not
If content played a role or if you focused mainly on building
What you would do differently if you had to start again
Cubicle, Agent Activity, Singularity and bmux are all, underneath the framing, a place to sit and watch agents do things.
That isn't a category forming, it's a symptom. You only build a cockpit when you don't trust the thing to fly itself. Nobody ever shipped a dashboard for watching their compiler.
I added logging. The log line didn't appear. I assumed the code wasn't executing. I restructured the function, added more logs, restructured again.
Four hours later I found it. The log line was there. It was being written to a file I wasn't tailing because the path had changed two deploys ago and I was looking at the old one.
The AI researchers at Andon Labs, the people who gave Anthropic Claude an office vending machine to run, and hilarity ensued, have published the results of a new AI experiment.
They wanted to see if LLMs were technically capable of functioning as a robot s brain, that is, connecting their thinking (textual decision-making) with real sensors and movement.
