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RoboHub🤖 ✓

@XRoboHub · joined 12 Jul 2012

World’s largest AI × robotics channel. Direct access to 200+ robotics companies. Original, tech-grounded reporting. 500K+ followers. 📬 xrobohub@gmail.com

21 975Followers
1 051Following
2 366Posts total
141.4KViews on collected posts

Latest posts

There’s been a lot of talk lately about whether robotics’ GPT moment could be GPT itself. Astra can already use tools to control robots, build simulations and write control code. That still seems a long way from a GPT moment, but AI is already taking on parts of a robotics
1:06
9.3K views · 103 likes · 14 reposts · 8 replies Open on X →
Skild just crossed a $100M annual revenue run rate, ten months after its first commercial deployment. It now has 60+ paying customers and is working with NVIDIA and Foxconn to deploy robot arms for Blackwell system assembly. Those deployments helped shape S1. Customers keep 4.7K views · 42 likes · 8 reposts · 2 replies Open on X →
This is a way to capture whole-body skills for robots while people go about their work. @GenrobotAI uses vision alone to reconstruct full-body motion from first-person video, with capacity for 100K hours a month. People don’t keep their bodies neatly in view while working. http
1:14
30.7K views · 55 likes · 8 reposts · 7 replies Open on X →
What if a robot could take a goal and determine how to achieve it? Today, we’re introducing Auto-Engineering on GRID. Robotics has more models, simulators, and hardware than ever. Turning them into working deployments still takes specialized engineering. For two years, we’ve h
2:20
51.4K views · 266 likes · 56 reposts · 12 replies Open on X →
Just show it how, and this robot can learn these skills. In @deepakpathak’s clip, Skild’s S1 follows four different video prompts in the same kitchen, changing its behavior without fine-tuning. In just a few weeks, NVIDIA, Skild, Generalist and X Square have all shared work on
1:05
3.7K views · 33 likes · 4 reposts · 3 replies Open on X →
How do you scale whole-body data? 😜Start with Ego! Vision-only,whole body mesh! ≈3 cm whole-body error 100K hours/month. From real-world human behavior to policy-ready Whole-Body Manipulation Data—at scale. See the Whole Body. Learn the Whole Skill. #PhysicalAI #Robotics https://
1:14
13.5K views · 41 likes · 12 reposts · 6 replies Open on X →
S1 saw a human flip a pancake once. Then it did it itself. The crazy part: pancake flipping wasn’t even in its pre-training data. One video demo, then straight to real hardware. That’s S1, Skild AI’s general-purpose robotics foundation model. With the same model weights, it can
0:32
7.2K views · 25 likes · 3 reposts · 1 replies Open on X →
So glad we got to visit so many amazing robotics companies together. Hope you come back every year. This industry moves fast and never disappoints. There are so many great robotics companies here, and everyone is welcome to come see them. 20.9K views · 41 likes · 6 reposts · 4 replies Open on X →

Against accounts of the same size

7 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views9 277this account924median for 10K–100K
Reach, %42.22%this account3.62%median for 10K–100K
Engagement, %0.65%this account1.52%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post9 27792410.0×
Reach (views ÷ followers)42.22%3.62%11.7×
Engagement rate0.65%1.52%0.43×

Others in this range →   Compare with another account →   How these benchmarks are built →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

20.9K30 Jun
7.2K26 Aug
13.5K7 Sep
3.7K9 Sep
51.4K
30.7K10 Sep
4.7K11 Sep
9.3K

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.24%30 Jun
0.40%26 Aug
0.44%7 Sep
1.08%9 Sep
0.65%
0.23%10 Sep
1.11%11 Sep
1.35%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes72.6%606 in total
Reposts13.3%111 in total
Replies5.1%43 in total
Bookmarks9.0%75 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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