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@ionet · Manhattan, New York · joined 22 May 2018

The intelligent stack for powering AI workloads | https://t.co/hIYFLxle8l: decentralized GPUs | io.intelligence: inference & agents | https://t.co/EinR91I0wl

432 966Followers
176Following
9 362Posts total
9.9MViews on collected posts

Neueste Beiträge

$500B says GPUs are the new gold. But gold you can buy on any exchange. Not GPUs. 4 hyperscalers have next-gen capacity locked through 2027, and the rest of the market is left renting from landlords. The real AI bottleneck is access. Our Chief Growth Officer @jack_ionet ht 2.6K views · 6 likes · 2 reposts · 0 replies Open on X →
100,000+ GPUs. That's what it took to train @OpenAI's GPT-6 Astra. Meanwhile, most devs struggle to access or afford even a handful of GPUs. That's the big problem in AI today. At one end, clusters with effectively unlimited compute. At the other, startups, researchers, and 9.8K views · 120 likes · 19 reposts · 12 replies Open on X →
The UK's chief AI adviser was just hired by @AnthropicAI. But he's staying on as chair of the government body that funds AI research. Same person playing both sides. The people writing AI policy are now employed by the labs that policy is supposed to check. Compute 13.8K views · 77 likes · 11 reposts · 6 replies Open on X →
Cloud compute is easy to enter. Getting out is where it gets expensive. Egress fees, proprietary tooling, long-term commitments, rebuilding and revalidating workloads can cost tens of thousands of dollars. Vendor lock-in is the hidden tax on AI infrastructure. The alternative 11K views · 113 likes · 13 reposts · 12 replies Open on X →
@ionet @Gaurav_ionet Builders who do their job with love will succeed 29 views · 1 likes · 0 reposts · 0 replies Open on X →
https://t.co/q5sZZiZW7V 1.2K views · 10 likes · 0 reposts · 0 replies Open on X →
NVIDIA knows there’s a GPU access problem. But its solution won’t fix it. Giving startups compute in exchange for a cut of their future revenue just creates another gatekeeper AI doesn’t need. AI needs a market where nobody needs permission to build. @ionet CEO @Gaurav_ionet 13.6K views · 142 likes · 18 reposts · 14 replies Open on X →
$31.6 trillion. That's what the world will spend on data centres by 2050 to keep up with AI demand. And it's more than the combined GDP of 174 countries. The current model of build, borrow, repeat isn't sustainable. It prices out most of the world's developers. And it harms ht 12.2K views · 134 likes · 21 reposts · 12 replies Open on X →
@ionet the more the platform is used, the greater the amount of the tokens burned, this is bullish af! not even sky can be our limit 810 views · 8 likes · 0 reposts · 0 replies Open on X →
@ionet Utility drives adoption, not hype alone. 536 views · 6 likes · 0 reposts · 0 replies Open on X →
@ionet tokenomics that actually make sense, finally 💪 507 views · 6 likes · 0 reposts · 0 replies Open on X →
The future of AI compute doesn't run on hype. It runs on real utility, real burns, and a network that gets stronger every time it's used. The Incentive Dynamic Engine (IDE) is now live! https://t.co/ggOg5dBdZw https://t.co/Ylmj9jH0d0 9.8M views · 681 likes · 145 reposts · 73 replies Open on X →

Im Vergleich zu Konten gleicher Größe

8 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 100K–1M Follower. wird weit über das eigene Publikum hinaus gezeigt, und es reagiert.

Medianaufrufe10 374dieses Konto5 983Median für 100K–1M
Reichweite, %2.40%dieses Konto1.49%Median für 100K–1M
Interaktion, %1.31%dieses Konto0.93%Median für 100K–1M
KennzahlDieses KontoMedian für 100K–1MVerhältnis
Medianaufrufe pro Beitrag10 3745 9831.73×
Reichweite (Aufrufe ÷ Follower)2.40%1.49%1.61×
Interaktionsrate1.31%0.93%1.41×

Weitere Konten dieser Größe →   Mit einem anderen Konto vergleichen →   Wie diese Vergleichswerte entstehen →

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

9.8M11 Jun
507
536
810
12.2K2 Sep
13.6K
1.2K
293 Sep
11K
13.8K
9.8K4 Sep
2.6K5 Sep

Last 12 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.01%11 Jun
1.18%
1.12%
0.99%
1.41%2 Sep
1.32%
0.81%
3.45%3 Sep
1.30%
0.69%
1.59%4 Sep
0.31%5 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes73.4%1 304 in total
Reposts12.9%229 in total
Replies7.3%129 in total
Quotes2.8%49 in total
Bookmarks3.7%65 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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