OpenMind ✓

@openmind_agi · San Francisco, CA · joined 03 Jul 2024

The Brain and Infra for Robotics.

148 978Followers

41Following

516Posts total

81.1KViews on collected posts

Posts recentes

OpenMind ✓@openmind_agi8 Sep

It's official! OpenMind is hosting a Smart Fleet Meet & Greet with Bay Area Robotics Association on October 6th 5PM - 8PM during SF Tech Week @Techweek_ Come meet industry leaders in physical AI and our smart fleet powered by OM1. RSVP below via Partiful. https://t.co/xub7QMZ

12.6K views · 392 likes · 61 reposts · 8 replies Open on X →

OpenMind ✓@openmind_agi4 Sep

Phase Action Space for cross-embodiment Representation (PHASOR for short) introduces a universal action representation that maps different humanoid embodiments in a shared motion space, making robot behavior more transferable, interpretable, and scalable across platforms. At 11.4K views · 396 likes · 45 reposts · 5 replies Open on X →

OpenMind ✓@openmind_agi2 Sep

Making human-robot interaction easy. https://t.co/cMH9doxyFP

1:16

20.8K views · 596 likes · 110 reposts · 20 replies Open on X →

OpenMind ✓@openmind_agi31 Aug

@Business_AI reported on how our Physical AI Readiness Index (PAIRI) data suggests that China’s large gap is attributable to its massive manufacturing capacity. The United States scores 5th overall, sitting at just under half of China’s capabilities. That being said, the US http

13.6K views · 225 likes · 28 reposts · 5 replies Open on X →

OpenMind ✓@openmind_agi28 Aug

@openmind_agi @Forbes @JanLiphardt the readiness part is underrated. a country can have great demos and still be nowhere near ready to deploy robots at scale if the support, labor, and safety pieces aren’t there. 145 views · 1 likes · 0 reposts · 0 replies Open on X →

OpenMind ✓@openmind_agi27 Aug

Read the full research paper here: https://t.co/MUdsnwijT4 1.5K views · 21 likes · 5 reposts · 0 replies Open on X →

OpenMind ✓@openmind_agi27 Aug

Metro-level data indicates an even sharper gap. Eight of the top ten robot-building metro clusters in the index are located in East Asia. The Bay Area ranks at ninth, as America's only cluster in the top ten. The data from the PAIRI points to the supply chain density as the htt

2.5K views · 56 likes · 5 reposts · 1 replies Open on X →

OpenMind ✓@openmind_agi27 Aug

Our index places China first with a composite score of 82.9 out of 100. Japan follows with a gap at 69.6, while the United States is at third with a score of 69. The scatter plot mapping willingness to deploy and capacity to build suggests something worth noting: countries with

2.2K views · 52 likes · 5 reposts · 1 replies Open on X →

OpenMind ✓@openmind_agi27 Aug

@forbes interviewed OpenMind's CEO @JanLiphardt about the team's recent research report on Physical AI Readiness Index (PAIRI) to gain a clearer understanding of the global willingness & ability to deploy physical AI at scale. With the FCC's recent ban on foreign robotics 14.1K views · 388 likes · 49 reposts · 4 replies Open on X →

Em comparação com contas do mesmo porte

10 posts dos últimos 90 dias, ao lado da faixa de 100K–1M seguidores. aparece muito além do próprio público, e esse público reage.

Mediana de visualizações6 946esta conta5 898mediana para 100K–1M

Alcance, %4.66%esta conta1.59%mediana para 100K–1M

Engajamento, %2.55%esta conta1.04%mediana para 100K–1M

Métrica	Esta conta	Mediana para 100K–1M	Proporção
Mediana de visualizações por post	6 946	5 898	1.18×
Alcance (visualizações ÷ seguidores)	4.66%	1.59%	2.93×
Taxa de engajamento	2.55%	1.04%	2.45×

Outras contas desta faixa → Comparar com outra conta → Como estas referências são construídas →

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

14.1K27 Aug

2.2K

2.5K

1.5K

14528 Aug

13.6K31 Aug

20.8K2 Sep

2.3K

11.4K4 Sep

12.6K8 Sep

Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

3.14%27 Aug

2.60%

2.50%

1.76%

0.69%28 Aug

1.90%31 Aug

3.48%2 Sep

1.15%

3.91%4 Sep

3.67%8 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.04%.

What the audience does

Likes83.9%2 153 in total

Reposts12.0%309 in total

Replies1.7%44 in total

Bookmarks2.4%61 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.

Posts recentes

Em comparação com contas do mesmo porte

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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