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Reka

@RekaAILabs · San Francisco Bay Area · joined 20 Jun 2022

Research and development of foundational intelligence for the physical world.

20 435Followers
16Following
273Posts total
55.8KViews on collected posts

Against accounts of the same size

11 posts from the last 90 days, next to the 10K–100K follower range. ordinary reach for its size, weaker reaction than most.

Median views629this account949median for 10K–100K
Reach, %3.08%this account3.23%median for 10K–100K
Engagement, %0.80%this account2.00%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post6299490.66×
Reach (views ÷ followers)3.08%3.23%0.95×
Engagement rate0.80%2.00%0.40×

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

1.9K30 Jul
2.4K31 Jul
37.9K6 Aug
629
2317 Aug
58 Aug
2.2K13 Aug
10.3K3 Sep
182
154 Sep
8

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.33%30 Jul
1.35%31 Jul
0.53%6 Aug
0.79%
0.43%7 Aug
0.00%8 Aug
0.96%13 Aug
0.90%3 Sep
1.10%
0.00%4 Sep
0.00%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 2.00%.

What the audience does

Likes52.3%296 in total
Reposts9.5%54 in total
Replies3.4%19 in total
Quotes1.8%10 in total
Bookmarks33.0%187 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.

Latest posts

@RekaAILabs @nvidia Incredible progress in real-time AI video generation. This collaboration shows how innovation and advanced computing are shaping the future of creative technology 8 views · 0 likes · 0 reposts · 0 replies 04 Sep 2026 · Open on X →
@RekaAILabs @nvidia "Impressive progress in real-time video generation. The combination of advanced AI models and powerful infrastructure is pushing the boundaries of creative possibilities 15 views · 0 likes · 0 reposts · 0 replies 04 Sep 2026 · Open on X →
@RekaAILabs @nvidia Steerable 30B video at 24 fps on one H100 is a serious result. Does temporal consistency hold when a language intervention changes the intended action midway through a contact-rich rollout? 182 views · 2 likes · 0 reposts · 0 replies 03 Sep 2026 · Open on X →
Together with @nvidia , we've built a real-time version of our video generation model: 30B parameters, steerable mid-stream in natural language, 720p at 24fps. 11.8x faster on a single H100, no major quality drop in our blind eval. We're one step closer to World Language Action 10.3K views · 66 likes · 21 reposts · 4 replies 03 Sep 2026 · Open on X →
Enterprise data is multimodal. Most AI tools aren't. Reka + @HPE + @nvidia built a validated stack to close that gap, from pilot to production. Here's our solution: https://t.co/BMAzJmupnU #Reka 2.2K views · 15 likes · 2 reposts · 4 replies 13 Aug 2026 · Open on X →
@RekaAILabs This is the right direction. Real homes, real mess, first-person. Skilled trades work in occupied residential and commercial buildings is still almost completely missing from these datasets though. That’s the gap we’re focused on filling. https://t.co/FgMDTi9PTD 5 views · 0 likes · 0 reposts · 0 replies 08 Aug 2026 · Open on X →
@RekaAILabs I am collecting robotics datasets here https://t.co/NqeQm98GRv 231 views · 1 likes · 0 reposts · 0 replies 07 Aug 2026 · Open on X →
@RekaAILabs 10k hours of someone forgetting where they left their keys The real training data 629 views · 5 likes · 0 reposts · 0 replies 06 Aug 2026 · Open on X →
To train physical AI, synthetic environments and polished, tripod-mounted footage aren't enough. You need the actual mess of the real world. 🚀Releasing RekaDaily-10k: 10,312 hours of unscripted, first-person household footage as collected, recorded by paid collectors in real h 37.9K views · 161 likes · 23 reposts · 9 replies 06 Aug 2026 · Open on X →
Can AI actually reason about a video, or is it still just listing what's in frame? We gave our model a scenario: twenty competitors, nearly identical vehicles, fast-paced motorsport. It has to figure out who's who from pixels alone. Result: 90.9% accuracy, up from 39.6%. 📄 http 2.4K views · 25 likes · 4 reposts · 2 replies 31 Jul 2026 · Open on X →
A single camera frame might capture a thousand people on a train platform. It's not enough to recognize them. The model has to know which one matters. In our latest post, we share how our models reason about real-world video: spatial grounding, temporal tracking, identity, and 1.9K views · 21 likes · 4 reposts · 0 replies 30 Jul 2026 · Open on X →

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