Inference marketplace for @spettrotoken will go live in August
that is the catalyst I am looking forward to the most
ApplePay ➡️ $SPETTRO ➡️ inference
dev has 10 years of experience and is most skilled at optimization and mobile
once $spettro is available on iOS, Android, and @solanamobile app stores, imo it’s ggs
I am not even being delulu when I say that solana:C3fawupKrXdn3X7KPTmmnkwzJQ9qycMNag55ZzQ8pump has billion dollar potential
study @spettrotoken and @cesp2099
Automation with Spettro doesn’t stop on your local machine.
It extends all the way to your deployment pipeline.
I just asked Spettro to handle its own auto-deployments on GitHub, so that anyone can download the latest compiled version without having to build it manually from the source code.
It executed flawlessly.
It wrote the CI/CD workflows, configured the GitHub Actions, and set up the entire release architecture from scratch.
Now, whenever a new version is ready, I simply push a new tag and the system handles the rest.
Spettro isn't just building itself anymore.
It is releasing itself.
Still building.
part of me wants to full port solana:C3fawupKrXdn3X7KPTmmnkwzJQ9qycMNag55ZzQ8pump and log off for a couple months
(Don’t EVER full port)
• Spettro (9 concurrent sessions):
220 MB RAM | 0.9% GPU
• Claude Code (9 concurrent sessions):
2.3+ GB RAM | 46%+ CPU
^ read this, then read it again
9-10 fig potential here
• Spettro (9 concurrent sessions):
220 MB RAM | 0.9% GPU
• Claude Code (9 concurrent sessions):
2.3+ GB RAM | 46%+ CPU
There is a reason for this massive performance gap.
Claude Code is built using frameworks that are easy to develop with, but by definition, they are heavy and bloated.
They drain your system resources almost immediately.
Spettro took the harder path.
It is heavily optimized from the ground up specifically for concurrent, decentralized execution.
It is engineered to be fast, lightweight, and relentlessly reliable.
If your tools fry your hardware, they aren't built to scale.
Still building.
• Spettro (9 concurrent sessions):
220 MB RAM | 0.9% GPU
• Claude Code (9 concurrent sessions):
2.3+ GB RAM | 46%+ CPU
There is a reason for this massive performance gap.
Claude Code is built using frameworks that are easy to develop with, but by definition, they are heavy and bloated.
They drain your system resources almost immediately.
Spettro took the harder path.
It is heavily optimized from the ground up specifically for concurrent, decentralized execution.
It is engineered to be fast, lightweight, and relentlessly reliable.
If your tools fry your hardware, they aren't built to scale.
Still building.
That's all for today's live development session.
We made solid progress, tested live, you all seen no issue at all, and pushed Kairos one step closer.
But this was just the warm-up.
Tomorrow is where things get interesting.
I'm planning to launch the first version of the Kairos website, where anyone will be able to interact with the system, explore its capabilities, and become part of the journey.
Today's stream was about building.
Tomorrow is about opening the doors.
Get some rest.
We'll be back tomorrow with something much bigger.
again says to all of you hold you horses.
tomorrow is biggest day ever will share also some seminars, AMA and POD cast detail