
CodecFlow CN retweeted
We had a great time at gm AI v2. Thank you to everyone who attended and stopped by to connect with us.
Still around @TOKEN2049 with @machinedotfun. If you’re here, let’s meet!
machine.fun on the ground at TOKEN2049 Singapore.
Live at gm AI v2 with our partner @codecopenflow, connecting with teams building robots, physical AI, and simulations.
We’re here to bring more machines onchain.
CodecFlow CN retweeted
We're co-hosting gm AI v2 on October 8, bringing founders and builders together for product showcases and an inside look at what's next for the agentic economy.
@unmoyai will cover how we're scaling robotics training through simulation and data. Attendees get early alpha on █ █ █ █.
luma.com/xkjrrfhe
CodecFlow CN retweeted
Monday update.
Since last week, we've reworked the launch setup on Raydium's LaunchLab and fixed the remaining issues we found in testing.
The fee system is now working and has been tested on-chain. We've put a lot of thought into how it's designed, and we'll share a full breakdown after launch. Holding it until then keeps the launch clean and fair for everyone.
We're very close. You'll get at least 12 hours' notice before going live.
Appreciate everyone sticking with us through this.
CodecFlow CN retweeted
Martin from @peaq remembers the first time he met us.
A robotics team that launched on @pumpfun, with no VC backing.
That's where @machinedotfun started.
CodecFlow CN retweeted
Software is being commoditized. The value is moving into hardware - the hardest thing in the world to fund.
Crypto is the only place where you can build in public, prove you're doing something real, and raise the capital to build it without a pedigree, without permission. The ICO era proved it. Memes proved it in their own way - and every idea is a meme, until it is not
Now hardware and its enablers get the same rails
We built @machinedotfun to replicate this for builders
Because three things changed at once:
- Crypto VC pulled back. The capital that was there a year ago isn't today
- Hardware was never the easy bet - harder, slower, and for two decades the upside sat in software
- Private rounds quietly work against the project. Vesting overhangs, unlock schedules, round after round - the price ends up set by when funds need to take profit, not by what the team ships
A new type of builder needs a new mechanism
So what belongs here:
- Anything that touches hardware - robots, sensors, cameras, DePIN devices
- Software built to advance the machine economy - training data, annotation, robotics tooling
- The wider hardware realm - EV charging, drones, mobility, wearables
And what we won't pretend: this is very early-stage exposure. Many projects launching here will fail. That's venture
We're not endorsing Foundry projects on day one. We support them in the background, and the brand goes behind a token only once it's earned
The trade we're offering is the chance to see something like a Unitree in the first inches of its formation
Both sides of that come together
What Machine.fun is, can be and should become View article
CodecFlow CN retweeted
Unitree started with a $30k loan.
Now it's one of the biggest names in robotics.
@unmoyai on why we exist:
Fund the next one before anyone else sees it.
CodecFlow CN retweeted
Sim, fund, build, repeat.
Robots used to be trained on real hardware, so every mistake broke something. Now that part happens in a browser tab.
SimArena is the first step, @machinedotfun is the next, and between them a machine becomes a business instead of a hobby.
CodecFlow CN retweeted
The machines are coming to the trenches.
@machinedotfun.
Replying to @unmoyai @pollenrobotics
CodecFlow CN retweeted
"If wheels can get the job done, do we really need two legs?"
The biggest crowd at World Robot Conference was watching humanoids fight.
The machine doing real work was two arms next to a conveyor belt. 10,000 parcels, five hours, no break.
The humanoid is the shape that gets filmed.
CodecFlow CN retweeted
We were on the ground at TAIROS 2026 (Taiwan Automation Intelligence & Robot Show)
- scouting foundry applicants
- meeting later-stage robotics teams
- watching what builders ship
Robots are eating the supply chain.
CodecFlow CN retweeted
"Large language models learn from the internet, but robots don’t have an internet-scale dataset of physical experience. What’s the equivalent for robotics, and how do we get it?"
Here’s what @chelseabfinn, co-founder of @physical_int, has to say.















