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AITECH CLOUD NETWORK ✓

@AITECHio · joined 12 Aug 2021

Enterprise-grade AI infrastructure ecosystem enabling autonomous AI systems at scale.

449 343Followers
823Following
10 068Posts total
424KViews on collected posts

Últimas publicaciones

Security reviews take longer than model evaluations now. Picking a model used to be the slow part of an enterprise AI decision. Now it's often the fastest step. What actually stalls a deal is the security review: data handling, access controls, audit trails, compliance https:/ 28.9K views · 411 likes · 117 reposts · 11 replies Open on X →
An agent's idle time still shows up in the budget. An agent that's deployed but rarely triggered isn't free just because it's not actively running a task. Depending on how it's provisioned, idle agents can still carry infrastructure costs, licensing fees, or maintenance https:/ 36.8K views · 342 likes · 111 reposts · 10 replies Open on X →
https://t.co/2prvoh8vlD 38.2K views · 331 likes · 115 reposts · 11 replies Open on X →
Staking turns a passive holding into an active role. Holding a token means owning exposure to its price. That's it. No further participation is required, and none is offered. Staking changes that relationship. Locked tokens are put to work securing the network, and in exchange, 31.2K views · 404 likes · 116 reposts · 14 replies Open on X →
@AITECHio $ACN great one! <3 11 views · 1 likes · 0 reposts · 0 replies Open on X →
@AITECHio Pakistan in the AI agent game lesgooo 32 views · 1 likes · 0 reposts · 0 replies Open on X →
@AITECHio Pakistan showing up strong 🚀 50 views · 0 likes · 0 reposts · 0 replies Open on X →
Agent Forge 🤝🏻 🇵🇰 38.7K views · 371 likes · 121 reposts · 9 replies Open on X →
The AI race isn't about models anymore. A year ago, the model was the differentiator. Now most serious teams have access to models that are good enough. What separates them is everything around the model: the compute behind it, the agents built on top of it, the workflows that 36.5K views · 369 likes · 124 reposts · 10 replies Open on X →
Introducing a new trust layer for the Agentic Economy. by AITECH Cloud Network & @Concordium We’ve partnered with Concordium to bring privacy-preserving human verification to AI agents on our conversational AI workflow platform - Agent Forge. Creators can now prove a https:/ 37.9K views · 355 likes · 130 reposts · 15 replies Open on X →
@AITECHio Big Move 242 views · 4 likes · 0 reposts · 0 replies Open on X →
@AITECHio $ACN This is promising! Thank you, team! <3 <3 <3 286 views · 4 likes · 0 reposts · 0 replies Open on X →
@AITECHio Wow! 👏 👏 Great move! We hope for the best 396 views · 5 likes · 0 reposts · 0 replies Open on X →
@AITECHio Will my $AITECH tokens on the Solana network be automatically converted to $ACN? If not, what should I do? 1.8K views · 4 likes · 0 reposts · 2 replies Open on X →
@AITECHio My AItech tokens in gateio are missing? What happened? 2.5K views · 7 likes · 1 reposts · 8 replies Open on X →
@AITECHio 🔥🔥 932 views · 6 likes · 0 reposts · 0 replies Open on X →
Solidus Ai Tech is evolving into the AITECH Cloud Network (ACN). ACN brings it all together into one system: - Compute Layer - AI Agent Orchestration Layer. - Economic Layer Check it out: https://t.co/deXIVDTJ80 https://t.co/IsiXhPJVR3 169.5K views · 534 likes · 98 reposts · 60 replies Open on X →

Frente a cuentas del mismo tamaño

13 publicaciones de los últimos 90 días, junto al rango de 100K–1M seguidores. llega mucho más allá de su propia audiencia, y esa audiencia responde.

Visualizaciones medianas28 935esta cuenta5 983mediana de 100K–1M
Alcance, %6.44%esta cuenta1.49%mediana de 100K–1M
Interacción, %1.38%esta cuenta0.93%mediana de 100K–1M
MétricaEsta cuentaMediana de 100K–1MProporción
Visualizaciones medianas por publicación28 9355 9834.84×
Alcance (visualizaciones ÷ seguidores)6.44%1.49%4.32×
Tasa de interacción1.38%0.93%1.48×

Otras cuentas de este rango →   Comparar con otra cuenta →   Cómo se construyen estas referencias →

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

1.8K29 Apr
3961 Sep
286
242
37.9K3 Sep
36.5K
38.7K
50
32
114 Sep
31.2K
38.2K
36.8K
28.9K5 Sep

Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.73%29 Apr
1.26%1 Sep
1.40%
1.65%
1.32%3 Sep
1.38%
1.30%
0.00%
3.12%
9.09%4 Sep
1.71%
1.20%
1.26%
1.86%5 Sep

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

What the audience does

Likes70.4%3 149 in total
Reposts20.9%933 in total
Replies3.4%150 in total
Quotes1.7%76 in total
Bookmarks3.7%164 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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