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

Derniers posts

Android Developers ✓@AndroidDev4 Sep

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 →

Android Developers ✓@AndroidDev3 Sep

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

17.9K views · 80 likes · 11 reposts · 4 replies Open on X →

Android Developers ✓@AndroidDev3 Sep

@AndroidDev And that's a deal breaker https://t.co/ELQvcO9iTx

41 views · 0 likes · 0 reposts · 1 replies Open on X →

Android Developers ✓@AndroidDev3 Sep

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 →

Android Developers ✓@AndroidDev2 Sep

@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 →

Android Developers ✓@AndroidDev2 Sep

@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 →

Android Developers ✓@AndroidDev2 Sep

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 →

Android Developers ✓@AndroidDev2 Sep

@AndroidDev https://t.co/HNdoxnPewL

GIF

108 views · 0 likes · 0 reposts · 0 replies Open on X →

Android Developers ✓@AndroidDev2 Sep

@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 →

Android Developers ✓@AndroidDev2 Sep

@AndroidDev Wow. That's really smart. 149 views · 1 likes · 0 reposts · 0 replies Open on X →

Android Developers ✓@AndroidDev2 Sep

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 →

Face aux comptes de taille comparable

11 posts des 90 derniers jours, à côté de la tranche de 1M–10M abonnés. en dessous de ses pairs à la fois en portée et en engagement.

Vues médianes253ce compte17 395médiane pour 1M–10M

Portée, %0.01%ce compte0.80%médiane pour 1M–10M

Engagement, %0.54%ce compte1.04%médiane pour 1M–10M

Indicateur	Ce compte	Médiane pour 1M–10M	Rapport
Vues médianes par post	253	17 395	0.01×
Portée (vues ÷ abonnés)	0.01%	0.80%	0.02×
Taux d'engagement	0.54%	1.04%	0.52×

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

23.8K2 Sep

149

144

108

23.9K

253

185

19K3 Sep

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.

Derniers posts

Face aux comptes de taille comparable

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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