Proof of Work
Here's what happens when the right audience sees your technology — told the right way.
Distribution gets you in front of the room. Storytelling makes them stay. Real campaigns. Real numbers. Click to verify.
People who've never set foot in a factory will never understand... I watched this three times.
For decades, robotics simulation has promised faster deployment. But factories still had to build the real cell to see if it actually worked.
Some assembly steps are still too messy for classic robot programming.
AUDI AG is now working with Zurich-based mimic to change that.
Instead of scripting every motion, mimic uses an end-to-end pixel-to-action model. Cameras observe the scene, and the system directly generates coordinated robot movements. No long rule trees. No hand-crafted trajectories for every variation.
The uncomfortable truth in robotics:
Better tech does not win.
Execution does.
A small French team raised $20M and deployed in 100+ factories with ZERO hardware or manufacturing background.
Here is how they did it 👇
[If you build robotics, save this thread. 🧵]
Benjamin joined me for a quick pre-launch chat to get the story in front of my audience.
You've never heard of them.
But next week, they're shipping your first personal robot. Costs $8,999.
Built for developers.
This isn't just a demo. It ships next week.
Here's why K-Scale Labs might change robotics forever 🧵
Robotics has an unwritten rule:
Hardware first. Deployment later.
A tiny team in Brooklyn ignored that rule & shipped a robot in months. 🧵
While everyone's chasing $100k+ humanoids, this YC S24 team is quietly proving that the real bottleneck isn't the hardware... it's the software.
You need $100 Billion to solve self-driving? Wrong!
A small team in San Diego is doing it with a smartphone chip and a few cameras... for $999. 🧵
Waymo spent $10 Billion. comma.ai spent $18 Million. Who won?
I've been following this team for a while now, and if you've been tracking the buzz around Physical AI, you know the biggest hurdle is moving from a polished simulation to a messy, real-world factory floor.
At HANNOVER MESSE this week, Franka Robotics is showing exactly how they're solving that. It's not just about cool hardware; it's about how these systems actually learn.
Robotics has a billion-dollar failure problem: DATA. I sat down with three founders 🧵👇
Every robot you see is a data firehose generating terabytes of chaos.
This hidden crisis is the #1 reason robots fail, and it's costing the industry billions.
In the traditional factory world, every adjustment means downtime. Every change is a risk.
But after a full day at KUKA in Augsburg with the team from Visual Components, the message is clear:
The future of robotics isn't about the hardware. It's about the Bridge.
If you think Physical AI is "just train a policy and ship it," you're about to waste months.
If you work on robotics, this one is worth bookmarking‼️
The bottleneck is not the robot. It's the world.
You do not fail because your model is dumb. You fail because the real world is infinite, messy, and full of edge cases.
That's why NVIDIA's new Cosmos and GR00T updates are interesting.
