500 Global engagement report
@500GlobalVC - 648K followers on X
Measured over 20 original posts from a 30-day window, last computed on August 25, 2026.
Engagement
A typical post picks up 12 interactions against 648K followers, an engagement rate of 0.002%. Measured over 20 original posts, its engagement rate beats 15% of 3,791 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 5.8K times each, and 0.208% of those impressions turn into an interaction. That is about 0.89% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.1 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 15:00 UTC, and Monday is the busiest day of the week. Of the 20 posts sampled, 60% carry an image or video, 5% are part of a thread and 90% link out. The account's strongest tracked post pulled 872 interactions, about 73x its own typical post.
Measured over 20 original posts from a 30-day window, last computed on August 25, 2026.
Compared with accounts its own size
500 Global's engagement rate beats 15% of the tracked X accounts closest to it in follower count (3,791 accounts, accounts of similar size (decile 8 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.
On engagement per impression rather than per follower it beats 17% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.
Where this sits in the catalog
At 0.002%, 500 Global sits above the 10th percentile of the 36,759 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.08% |
| 75th percentile | 0.434% |
| 90th percentile | 2.10% |
| 99th percentile | 160.4% |
This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built
Posting timing
This account posts most often around 15:00 UTC, and Monday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 51K |
| 01:00 UTC | -2% | 52K |
| 02:00 UTC | -3% | 50K |
| 03:00 UTC | -4% | 54K |
| 04:00 UTC | -6% | 43K |
| 05:00 UTC | -4% | 42K |
| 06:00 UTC | -4% | 48K |
| 07:00 UTC | -5% | 52K |
| 08:00 UTC | -4% | 61K |
| 09:00 UTC | -3% | 70K |
| 10:00 UTC | -2% | 72K |
| 11:00 UTC | -3% | 79K |
| 12:00 UTC | -2% | 87K |
| 13:00 UTC | -3% | 95K |
| 14:00 UTC | -4% | 98K |
| 15:00 UTC | -2% | 101K |
| 16:00 UTC | -4% | 99K |
| 17:00 UTC | -2% | 91K |
| 18:00 UTC | -1% | 85K |
| 19:00 UTC | -1% | 80K |
| 20:00 UTC | -1% | 75K |
| 21:00 UTC | -1% | 66K |
| 22:00 UTC | -2% | 58K |
| 23:00 UTC | -2% | 52K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +4% | 232K |
| Monday | 0% | 290K |
| Tuesday | -2% | 281K |
| Wednesday | -1% | 252K |
| Thursday | -2% | 245K |
| Friday | -3% | 254K |
| Saturday | +3% | 228K |
Best tweets
- Jul 13, 202673x their median
We are pleased to share our latest research, now published in Nature Communications: “Smart Cellular Bricks: Physical Modules That Recognize Their Own Shape and Repair Themselves.” Blog: https://t.co/FMkbCv8mpP Paper: https://t.co/rxzbpU3zTu A long-running theme in our work is collective intelligence: the idea that sophisticated, robust behavior can emerge from many simple parts following local rules, with no central controller, as it does in a colony, a tissue, or a brain. We had mostly studied this in software and simulation. So this time we asked a simple question. Do the same decentralized principles hold up in the physical world, where communication is noisy and modules fail? To find out, we built a collection of simple cubic bricks. Each brick runs the same small neural network and talks only to the bricks it is physically connected to. No brick is told its position, or which shape it is part of. Yet from these purely local exchanges, the collective converges on the correct global shape, locates where modules are missing or damaged, and can even guide its own repair, inspired by how living tissue self-organizes and regenerates after injury. For us, this is a first step in a broader direction: taking the principles of collective intelligence we have studied in software and letting them emerge, decentralized and robust, in the physical world. In the future, we imagine smart materials that let structures sense and report damage on their own, and LEGO-like systems that recognize their own configuration and adapt in real time, pointing toward environments that are more robust, adaptive, and regenerative. This work is a collaboration between Sakana AI, IT University of Copenhagen and Autodesk.
- Jun 30, 202670x their median
NVIDIA inference software keeps driving down token costs, long after AI infrastructure is deployed. ⚡ In just one month on NVIDIA Blackwell, software optimizations improved DeepSeek V4 performance by up to 5×, reducing token costs to roughly one-fifth of previous levels. NVIDIA's integrated inference software stack compounds improvements across runtimes, kernels, networking, and hardware, delivering up to 20× higher throughput on the same GPU. Co-designed with NVIDIA GPUs, CPUs, networking, and systems, and powered by CUDA-native open source frameworks, NVIDIA's inference software stack ensures new model breakthroughs and optimizations run on NVIDIA from day zero, and keep improving throughput and lowering cost after deployment. See how @Baseten, @Cognition, @DeepInfra, @togethercompute, and @Cursor_ai are turning continuous software innovation into lower cost per token: https://t.co/jQquhFMR2m
- Jul 4, 202631x their median
"The next AI race will not be won by whoever builds the best model, but by whoever builds the best systems around it." Read the latest op-ed by our Co-Founder Ren Ito in The Japan News on why Japan is well positioned to lead this next wave. https://t.co/fCe7OQlKzX
- Aug 17, 202621x their median
Our summer fastest-growing vendors list just dropped, and the story is: infrastructure won. Turns out the real AI hype isn't the app, it's what's under it. https://t.co/ckI6f9FadO
- Jul 3, 202614x their median
Ren Ito, Co-Founder and Chairman of Sakana AI, has been appointed to the "AI for Good Global Commission", established by the United Nations and the ITU. As a Japanese AI company, we are honored to join global leaders, experts, and policymakers to actively contribute to building a trusted AI ecosystem, driving responsible innovation, and shaping the future of AI policy. Sakana AI 共同創業者の伊藤錬が、国連AI for Goodのグローバル委員会委員に就任しました。 日本のAI開発企業として本委員会へ参画し、信頼できるAIエコシステムの形成や責任あるイノベーションの支援に向けた国際的な議論に積極的に貢献していきます。 https://t.co/gz2CEonXWv
- Jul 31, 20269.8x their median
The FCC just banned new Chinese humanoids. Steel Bot has been working on a better, open American humanoid for months and now it's time to get these robots to American researchers, hobbyists, and entrepreneurs as fast as possible. Read our full Manifesto: https://t.co/aglzdfCwdP
- Jul 10, 20264.3x their median
As one of the world's oldest and premier AI research conferences, ICML brings together many of the researchers shaping the future of AI. That's why we were proud to co-host AI Super Night: ICML 2026 Edition alongside our portfolio companies @ElorianAI and humans&, bringing together first authors of accepted ICML 2026 papers alongside researchers from @nvidia, @AnthropicAI, @OpenAI, @Meta, @Apple, @GoogleDeepMind, and leading AI startups. Our lightning panel featured @AndrewDai (Elorian AI), @Niloofar Mireshghallah (humans&, @CarnegieMellon), @DZhang50 (@RicursiveAI), @albe_alfa (@axiommathai), and @meggmcnulty (Cosmic Labs), who shared their perspectives on where frontier AI research is heading. The conversations continued throughout the evening as researchers, founders, and builders connected in a closed-door setting. A big thank you to our collaborators Elorian AI, humans&, Cosmic Labs, @gmi_cloud, AttentionX, and @xiaohongshu for helping bring this community together. @christine_tsai @TonyW @vishalharnal @atxfrench @leoclee
- Aug 17, 20263.7x their median
Many American researchers and developers have relied on affordable, programmable humanoid platforms from abroad to experiment and build. Now, new U.S. restrictions are changing that equation, and @steelbot_ founder & CEO @randallmbriggs sees an opportunity to build a strong American alternative. He tells 500 Global Managing Partner @TonyW why he believes Steel Bot can fill that gap, and what it takes to build a robotics platform researchers will actually want to use. Watch the full conversation as part of our Global Resilience series: https://t.co/H1HqvE7VhT About the speakers: Randall Briggs is an MIT-trained roboticist building U.S.-made humanoid robots. Tony Wang is an experienced investor and adviser in the areas of AI, SaaS, healthcare, fintech and consumer internet. About the series: Global Resilience is an ongoing conversation series with the founders and leaders shaping the innovation economy. Drawing on 15+ years of experience, this series spotlights the strategies and ideas that unlock resilient, inclusive socio-economic growth. @christine_tsai @khailee @vishalharnal @atxfrench @leoclee
- Jun 23, 20262.8x their median
While much attention has been given to training frontier models, recent developments suggest that the economics of deploying AI is just as important as the models themselves. Why we co-led @DeepInfra's $107M Series B alongside Georges Harik w/ participation from @nvidia 🧵 https://t.co/2hd62esrzy
- Aug 11, 20262.5x their median
Randall Briggs makes a provocative case for why the biggest company in history could be a robotics company. His company @steelbot_ has the ambition of bringing robotics to a fundamentally different scale. And Randall brings deep experience to that mission: an MIT-trained mechanical engineer and roboticist, he worked on the MIT Cheetah Robot before becoming a founder. Today, he’s building Steel Bot around a vision that echoes what Henry Ford saw more than a century ago. As part of our Global Resilience series, our Managing Partner @TonyW sits down with @randallmbriggs to unpack that vision and what it could mean for the future of robotics. Watch the full conversation: https://t.co/bX7nsq62Ly @christine_tsai @khailee @vishalharnal @atxfrench @leoclee
Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.
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Reading these numbers
A typical post picks up 12 interactions against 648K followers, an engagement rate of 0.002%. Measured over 20 original posts, its engagement rate beats 15% of 3,791 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 5.8K times each, and 0.208% of those impressions turn into an interaction. That is about 0.89% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.1 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 15:00 UTC, and Monday is the busiest day of the week. Of the 20 posts sampled, 60% carry an image or video, 5% are part of a thread and 90% link out. The account's strongest tracked post pulled 872 interactions, about 73x its own typical post.
- What is 500 Global's engagement rate on X?
- 500 Global (@500GlobalVC) has an engagement rate of 0.002%, based on the median interactions across 20 original posts from the last 30 days against 647,696 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.002%, 500 Global sits above the 10th percentile of the 36,759 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
- Does @500GlobalVC have real engagement?
- Its engagement rate beats 15% of the tracked X accounts closest to it in follower count (3,791 accounts), which puts it in the bottom quarter for its size group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
- When does @500GlobalVC post?
- Most posts go out around 15:00 UTC, and Monday is its busiest day, at roughly 1.1 posts per day across the measured window.