Google AI Developers ✓

@googleaidevs · joined 18 Apr 2024

AI for every developer. So what will you build?

117 365Followers

51Following

1 974Posts total

246.7KViews on collected posts

Últimas publicaciones

Google AI Developers ✓@googleaidevs3 Sep

@googleaidevs @GoogleAIStudio 😊😊😊 571 views · 7 likes · 1 reposts · 0 replies Open on X →

Google AI Developers ✓@googleaidevs2 Sep

Gemini 3.8 Flash is hardwired for complex reasoning. ⚙️ To test its skills, we built an interactive 3D visualizer with 3.8 Flash and @ThreeJS in @GoogleAIStudio. Watch the model generate realistic, physically-proportioned teardowns for hardware devices. It automatically https://

0:33

38.8K views · 629 likes · 67 reposts · 22 replies Open on X →

Google AI Developers ✓@googleaidevs2 Sep

Learn more about how you can start building with 3.8 Flash: https://t.co/w0NdguVvg8 3.2K views · 22 likes · 1 reposts · 0 replies Open on X →

Google AI Developers ✓@googleaidevs1 Sep

@googleaidevs Does this mean @antigravity finally supports videos? 685 views · 3 likes · 0 reposts · 0 replies Open on X →

Google AI Developers ✓@googleaidevs1 Sep

Agentic video understanding is supported by Gemini 3.7 Flash, 3.6 Flash and 3.5 Flash-Lite and is available today for video uploads and @YouTube videos via the Gemini API on @GoogleAIStudio and Gemini Enterprise Agent Platform. More details in the blog: https://t.co/NcZoZYCA84 4.8K views · 34 likes · 4 reposts · 1 replies Open on X →

Google AI Developers ✓@googleaidevs1 Sep

Can Gemini count the number of claps? 👏 Accurately counting rapid movements is a notoriously tricky task for AI. Because static processing ingests video at a fixed 1 FPS by default, split-second movements like a clap easily get missed entirely or get confused with a snap or http

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132.9K views · 848 likes · 86 reposts · 22 replies Open on X →

Google AI Developers ✓@googleaidevs26 Aug

🗣️💬 Say hello to Gemini 3.5 Transcribe, a speech-to-text model that actually understands your codebase. Watch how this latest model filters out spoken hesitation while grounding technical terms, file names, and code variables precisely against the active context while building h

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14K views · 169 likes · 27 reposts · 7 replies Open on X →

Google AI Developers ✓@googleaidevs18 Aug

From a single prompt to a fully animated parallax landing page. 🤯 See how Gemini 3.7 Flash, combined with Nano Banana and Omni, builds interactive websites in one shot. Under the hood, 3.7 Flash calls the right tools to generate the copy, image references, and render https://t.c

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16K views · 221 likes · 31 reposts · 12 replies Open on X →

Google AI Developers ✓@googleaidevs18 Aug

Turn the web into an interactive visual encyclopedia with Nano Banana and Gemini Omni. 🌐✨ We built a Chrome Extension in @Antigravity with Gemini 3.7 Flash that lets you highlight any text to quickly generate rich, visual definitions while you browse for deeper learning. https:/

1:12

35.9K views · 630 likes · 81 reposts · 22 replies Open on X →

Frente a cuentas del mismo tamaño

9 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 medianas13 953esta cuenta5 983mediana de 100K–1M

Alcance, %11.89%esta cuenta1.49%mediana de 100K–1M

Interacción, %1.40%esta cuenta0.93%mediana de 100K–1M

Métrica	Esta cuenta	Mediana de 100K–1M	Proporción
Visualizaciones medianas por publicación	13 953	5 983	2.33×
Alcance (visualizaciones ÷ seguidores)	11.89%	1.49%	7.98×
Tasa de interacción	1.40%	0.93%	1.51×

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

35.9K18 Aug

16K

14K26 Aug

132.9K1 Sep

4.8K

685

3.2K2 Sep

38.8K

5713 Sep

Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

2.04%18 Aug

1.65%

1.45%26 Aug

0.72%1 Sep

0.82%

0.44%

0.72%2 Sep

1.85%

1.40%3 Sep

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

What the audience does

Likes65.4%2 563 in total

Reposts7.6%298 in total

Replies2.2%86 in total

Bookmarks24.8%970 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.

Últimas publicaciones

Frente a cuentas del mismo tamaño

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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