Gata ✓

@Gata_xyz · 𝐃𝐚𝐭𝐚 𝐖𝐨𝐫𝐥𝐝 · joined 26 May 2023

Accelerate AI through decentralization. Backed by @yzilabs. Join us: https://t.co/ZoWJbykni6

157 004Followers

33Following

931Posts total

30KViews on collected posts

Derniers posts

Gata ✓@Gata_xyz4 Sep

Least known Gata Inference fact: your existing OpenAI code already works here. Two lines. Base URL, key. That's the migration. Quickstart → https://t.co/xYfo8UNRG0 https://t.co/m0L3FEJpmj 3.1K views · 5 likes · 0 reposts · 0 replies Open on X →

Gata ✓@Gata_xyz3 Sep

Imagine AI compute worked more like a network than a warehouse. GPUs distributed across the world. Capacity available when it’s needed. Different workloads running where they make the most sense. AI is becoming decentralized. Compute should too. https://t.co/QVNj0BQBfH https:// 3.5K views · 5 likes · 0 reposts · 0 replies Open on X →

Gata ✓@Gata_xyz2 Sep

You can’t fully own your agent if you don’t have a choice over the infrastructure it runs on. Open models. Open tools. Open agents. Open compute. That’s the stack. Run your agent on Gata ↓ https://t.co/Qtx08vddIe 3.8K views · 6 likes · 0 reposts · 0 replies Open on X →

Gata ✓@Gata_xyz1 Sep

Cloud infrastructure was designed for apps. The next infrastructure stack will increasingly be designed for agents. Agents that run continuously. Agents that switch between models. Agents that consume live data. Agents that need compute on demand. That’s the world Gata is 3.8K views · 13 likes · 0 reposts · 0 replies Open on X →

Gata ✓@Gata_xyz24 Jul

@Gata_xyz 一行代码切换提供商——AI界的万能插座，以前是模型打架，现在是模型开会。集成挺好，就是别把选择困难也集成进去了。 47 views · 0 likes · 0 reposts · 0 replies Open on X →

Gata ✓@Gata_xyz21 Jul

@Gata_xyz The future isn't one model. It's millions of AI agents interacting across open infrastructure. Identity will be the layer that ties it all together. 30 views · 0 likes · 0 reposts · 0 replies Open on X →

Gata ✓@Gata_xyz21 Jul

Intelligence should not have a gatekeeper. Today, 40+ frontier and open models stand behind a single endpoint. Gata Inference is live. https://t.co/EKt0WmbmkQ https://t.co/q62Tb2ozSr 15.7K views · 23 likes · 2 reposts · 5 replies Open on X →

Face aux comptes de taille comparable

7 posts des 90 derniers jours, à côté de la tranche de 100K–1M abonnés. diffusé largement, mais peu de ces spectateurs réagissent.

Vues médianes3 533ce compte4 799médiane pour 100K–1M

Portée, %2.25%ce compte1.76%médiane pour 100K–1M

Engagement, %0.16%ce compte1.30%médiane pour 100K–1M

Indicateur	Ce compte	Médiane pour 100K–1M	Rapport
Vues médianes par post	3 533	4 799	0.74×
Portée (vues ÷ abonnés)	2.25%	1.76%	1.28×
Taux d'engagement	0.16%	1.30%	0.12×

Autres comptes de cette tranche → Comparer avec un autre compte → Comment ces repères sont établis →

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

15.7K21 Jul

4724 Jul

3.8K1 Sep

3.8K2 Sep

3.5K3 Sep

3.1K4 Sep

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.20%21 Jul

0.00%

0.00%24 Jul

0.34%1 Sep

0.16%2 Sep

0.14%3 Sep

0.16%4 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.30%.

What the audience does

Likes81.2%52 in total

Reposts3.1%2 in total

Replies7.8%5 in total

Quotes1.6%1 in total

Bookmarks6.2%4 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.