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Android Developers

@AndroidDev · Mountain View, CA · joined 30 Nov 2009

Get the latest Android news, best practices, live videos, demonstrations, tutorials, and more!

2 055 371Followers
351Following
9 531Posts total
105.4KViews on collected posts

Ultimi post

Spend your time on innovation and not the boring bits. Let Gemini in @AndroidStudio handle the heavy lifting → https://t.co/WTJ9jcUNTe How Agent Mode assists your data layer: 📄 Ingests custom API documentation 🛠️ Generates thin Retrofit data sources 📐 Adheres strictly to https:
0:59
19.9K views · 48 likes · 17 reposts · 4 replies Open on X →
From flat screens to tabletop posture 📖 Foldable devices provide an opportunity for innovative app development and this begins with adaptive design. Learn how to make your UI fold-aware → https://t.co/MbPBUChlKq https://t.co/QiztMVGFWv
A foldable smartphone is partially unfolded in a tabletop position, showing a video player app
17.9K views · 80 likes · 11 reposts · 4 replies Open on X →
@AndroidDev And that's a deal breaker https://t.co/ELQvcO9iTx
41 views · 0 likes · 0 reposts · 1 replies Open on X →
Help shape the future of Android Bench. Android Bench provides you with transparency into AI coding assistance. You now have an opportunity to contribute your own tasks, or submit locally run evaluations. Read more to learn how → https://t.co/MX1qddNG1P https://t.co/vwvYgdjrCB
0:51
19K views · 59 likes · 9 reposts · 4 replies Open on X →
@AndroidDev The AICore route is nice until you need a model AICore doesn't ship. Then you're back to bundling weights yourself and fighting memory pressure. Does the GenAI API keep Nano resident across app switches, or does each call pay a cold load? 185 views · 1 likes · 0 reposts · 0 replies Open on X →
@AndroidDev What about SPM support on iOS for ML Kit? Has it been abandoned? 😭 253 views · 1 likes · 0 reposts · 0 replies Open on X →
Your apps can harness Gemini Nano through ML Kit's GenAI APIs → https://t.co/WfOEhzDwwr Built on Android's AICore, these tools enable on-device execution for popular use cases. You get out-of-the-box quality while keeping user data private and local.📱 23.9K views · 108 likes · 17 reposts · 6 replies Open on X →
@AndroidDev https://t.co/HNdoxnPewL
GIF
108 views · 0 likes · 0 reposts · 0 replies Open on X →
@AndroidDev Gemma models may not be the best choice to run locally for agentic coding 😅 144 views · 1 likes · 0 reposts · 0 replies Open on X →
@AndroidDev Wow. That's really smart. 149 views · 1 likes · 0 reposts · 0 replies Open on X →
Your code stays right here on your machine. 😎 Gemma 4 is now built-in to Android Studio, so you don’t need a third party provider to download. Using a local model lets agents run complex, multi-step code changes completely offline, with zero token quotas → https://t.co/Wsqabw5Yx
0:54
23.8K views · 117 likes · 19 reposts · 6 replies Open on X →

Rispetto ad account della stessa dimensione

11 post degli ultimi 90 giorni, accanto alla fascia di 1M–10M follower. sotto i pari sia per copertura sia per interazione.

Visualizzazioni mediane253questo account17 395mediana per 1M–10M
Copertura, %0.01%questo account0.80%mediana per 1M–10M
Interazione, %0.54%questo account1.04%mediana per 1M–10M
MetricaQuesto accountMediana per 1M–10MRapporto
Visualizzazioni mediane per post25317 3950.01×
Copertura (visualizzazioni ÷ follower)0.01%0.80%0.02×
Tasso di interazione0.54%1.04%0.52×

Altri account di questa fascia →   Confronta con un altro account →   Come sono costruiti questi parametri →

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

23.8K2 Sep
149
144
108
23.9K
253
185
19K3 Sep
41
17.9K
19.9K4 Sep

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.60%2 Sep
0.67%
0.69%
0.00%
0.55%
0.40%
0.54%
0.38%3 Sep
2.44%
0.53%
0.36%4 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 1M–10M accounts is 1.04%.

What the audience does

Likes66.6%416 in total
Reposts11.7%73 in total
Replies4.0%25 in total
Quotes0.6%4 in total
Bookmarks17.1%107 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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