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OpenAI Developers

@OpenAIDevs · joined 09 Mar 2023

Official updates for developers building with Codex & the OpenAI Platform • Service status: https://t.co/kZwnwdYYEq

409 973Followers
1Following
2 344Posts total
5.1MViews on collected posts

Son gönderiler

@OpenAIDevs Wake up babe, new triple T generator just dropped. https://t.co/llfsyXQecx
2K views · 21 likes · 0 reposts · 0 replies Open on X →
@OpenAIDevs Nice. When is it coming to codex via sub? 1.2K views · 8 likes · 0 reposts · 0 replies Open on X →
Start with GPT-Image-2.5 Flare for most applications. Choose GPT-Image-2.5 Sunburst when you need extra precision and control across edits. https://t.co/ePM7bIuvvf 16.1K views · 108 likes · 8 reposts · 5 replies Open on X →
Build creative tools with more precise editing: • Image generators with greater realism and creative control • AI photo editors that change what users ask for and preserve the rest • Image-to-video workflows with more consistent characters and scenes • Design platforms https:
0:06
17.1K views · 112 likes · 3 reposts · 1 replies Open on X →
Edits you control: Change a jacket while keeping the subject in the same position. Update a background while preserving the product image. Revise copy without reworking the composition. GPT-Image-2.5 follows editing instructions more precisely, helping preserve the subject and h
0:03
17.4K views · 192 likes · 3 reposts · 6 replies Open on X →
Flare delivers higher-quality images at 50% lower latency than GPT-Image-2. Sunburst adds even more precision for detailed editing. More natural lighting, richer textures, and better handling of complex layouts and transparent backgrounds. https://t.co/mFqECU33LU
0:57
22.7K views · 205 likes · 5 reposts · 4 replies Open on X →
Meet GPT-Image-2.5 Flare and Sunburst. Introducing new image models in the API, with sharper detail, stronger style adherence, and more control over edits. https://t.co/dirY4ANhpr
1:01
521.9K views · 3.9K likes · 301 reposts · 163 replies Open on X →
Women founders at @foundherhouse are building with AI across scholarships, personal finance, and robotics, and we’re excited to see what they build next. https://t.co/tYguNLbAfR
0:45
56.7K views · 327 likes · 22 reposts · 28 replies Open on X →
@OpenAIDevs https://t.co/iR8YLUjD4o
49.2K views · 831 likes · 19 reposts · 15 replies Open on X →
@OpenAIDevs Astra helped me to improve significantly the quality of game still keeping 60FPS. Especially the grass and lighting. I just show it the concept art and asked „challenge accepted?” And it replied with „yes”. That’s the effect 1h 30m later https://t.co/lE0isAWfre
0:04
58.4K views · 564 likes · 11 reposts · 14 replies Open on X →
@OpenAIDevs 😅😅 https://t.co/AB28uVzZGq
50.8K views · 608 likes · 0 reposts · 6 replies Open on X →
What can you ship with GPT-6 Astra? Drop a demo or link below, plus one line on how Astra helped. Game on. You’ve got 24 hours. 1.3M views · 8.6K likes · 364 reposts · 1.7K replies Open on X →
GPT-6 is here. What will you build with it? We’re bringing GPT-6 hackathons to San Francisco and New York City for developers, technical founders, and product builders. 🌉 SF: Sept 8 🗽 NYC: Sept 10 https://t.co/kiLWFscJ0N
187.4K views · 4.1K likes · 210 reposts · 206 replies Open on X →
Our best model yet: GPT-6 Astra. – Build agents for complex long-running work. – Solve engineering problems with less rework. – Create well-designed functional interfaces. – Take on harder questions with confidence. GPT-6 Astra combines computer use, asynchronous tool calling,
3:23
240.4K views · 5K likes · 393 reposts · 181 replies Open on X →
@OpenAIDevs @awsdevelopers @cursor_ai @github @code @vercel Sounds familiar https://t.co/S3NwqZ39na https://t.co/ZmGNu0qKjS
17.5K views · 173 likes · 5 reposts · 4 replies Open on X →
Compatible agentic clients at launch: • Codex • @ChatGPT • @cursor_ai • @github Copilot • @kirodotdev • @code https://t.co/gRzzxkhVe8 92.4K views · 492 likes · 31 reposts · 28 replies Open on X →
Build a plugin once and use it across compatible agent clients. Introducing Agent Plugins, an open standard developed with @awsdevelopers, @cursor_ai, @github, @code, and @vercel that packages Agent Skills and supports MCP server configurations in a shared format. https://t.co/J
1:35
2.5M views · 7.4K likes · 688 reposts · 388 replies Open on X →

Aynı büyüklükteki hesaplara karşı

Son 90 güne ait 17 gönderi, 100K–1M takipçi aralığıyla yan yana. geniş kitleye gösteriliyor, ama izleyenlerin azı tepki veriyor.

Medyan görüntülenme50 801bu hesap4 119100K–1M için medyan
Erişim, %12.39%bu hesap1.60%100K–1M için medyan
Etkileşim, %0.95%bu hesap1.34%100K–1M için medyan
ÖlçütBu hesap100K–1M için medyanOran
Gönderi başına medyan görüntülenme50 8014 11912.3×
Erişim (görüntülenme ÷ takipçi)12.39%1.60%7.74×
Etkileşim oranı0.95%1.34%0.71×

Bu aralıktaki diğer hesaplar →   Başka bir hesapla karşılaştır →   Bu kıyas değerleri nasıl kuruluyor →

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

240.4K4 Sep
187.4K
1.3M5 Sep
50.8K
58.4K
49.2K
56.7K6 Sep
521.9K8 Sep
22.7K
17.4K
17.1K
16.1K
1.2K
2K

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

2.32%4 Sep
2.40%
0.83%5 Sep
1.21%
1.01%
1.77%
0.68%6 Sep
0.86%8 Sep
0.95%
1.18%
0.68%
0.76%
0.68%
1.06%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.34%.

What the audience does

Likes67.5%32 523 in total
Reposts4.3%2 063 in total
Replies5.7%2 751 in total
Quotes0.7%356 in total
Bookmarks21.8%10 494 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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