io.net

@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

Latest posts

io.net@ionet5 Sep

$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 →

io.net@ionet4 Sep

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 →

io.net@ionet3 Sep

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 →

io.net@ionet3 Sep

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 →

io.net@ionet3 Sep

@ionet @Gaurav_ionet Builders who do their job with love will succeed 29 views · 1 likes · 0 reposts · 0 replies Open on X →

io.net@ionet2 Sep

https://t.co/q5sZZiZW7V 1.2K views · 10 likes · 0 reposts · 0 replies Open on X →

io.net@ionet2 Sep

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 →

io.net@ionet2 Sep

$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 →

io.net@ionet11 Jun

@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 →

io.net@ionet11 Jun

@ionet Utility drives adoption, not hype alone. 536 views · 6 likes · 0 reposts · 0 replies Open on X →

io.net@ionet11 Jun

@ionet tokenomics that actually make sense, finally 💪 507 views · 6 likes · 0 reposts · 0 replies Open on X →

io.net@ionet11 Jun

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 →

Against accounts of the same size

8 posts from the last 90 days, next to the 100K–1M follower range. shown far beyond its own audience, and the audience reacts.

Median views10 374this account5 983median for 100K–1M

Reach, %2.40%this account1.49%median for 100K–1M

Engagement, %1.31%this account0.93%median for 100K–1M

Metric	This account	Median for 100K–1M	Ratio
Median views per post	10 374	5 983	1.73×
Reach (views ÷ followers)	2.40%	1.49%	1.61×
Engagement rate	1.31%	0.93%	1.41×

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

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.

Latest posts

Against accounts of the same size

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Similar accounts