Google AI Studio
@GoogleAIStudio · It's time to build · joined 04 Jan 2024
The fastest path from prompt to prototype to production with Gemini
203 315Followers
2Following
228Posts total
1.4MViews on collected posts
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@GoogleAIStudio Why does this dogshit sound like it was trained exclusively on The Chainsmokers discography
9.5K views · 163 likes
· 1 reposts · 3 replies
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@GoogleAIStudio How long before a Lyria track charts and nobody notices for three weeks?
6.8K views · 35 likes
· 0 reposts · 0 replies
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@GoogleAIStudio You're releasing everything other than a model that can compete with frontier models like GPT 5.6 Sol, Claude Opus and Grok 4.6
Just release Gemini 4 Pro already....
12.7K views · 144 likes
· 0 reposts · 7 replies
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@GoogleAIStudio Someone commented this 😂 https://t.co/siucmUIiBd
2K views · 33 likes
· 0 reposts · 1 replies
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@GoogleAIStudio Google is releasing models at insane speed. They are in different world
9.2K views · 159 likes
· 5 reposts · 5 replies
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@GoogleAIStudio Probably get one more flash model before a pro after this one.
4.7K views · 16 likes
· 0 reposts · 1 replies
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Gemini guys are in different league 😁 https://t.co/a9w5uwRoCc
63.4K views · 443 likes
· 20 reposts · 42 replies
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Gemini 3.8 Flash is here⚡️
it's our most intelligent workhorse model, delivering significant improvements from 3.7 Flash across software engineering, agentic tasks, and critical, multi-step reasoning in specialized domains
available at the same introductory price as 3.7 Flash h
445K views · 4.8K likes
· 450 reposts · 191 replies
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@GoogleAIStudio A huge amount of useful information is trapped in video: meetings, podcasts, product demos, training, security footage, YouTube, sports, everything.
I think it’s interesting to see video moving from an unstructured pile of files to something an agent can underst
5.9K views · 52 likes
· 0 reposts · 4 replies
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get started with our developer guide for agentic video understanding here: https://t.co/c9gK35sZkA
23.3K views · 90 likes
· 7 reposts · 1 replies
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introducing agentic video understanding with Gemini
instead of using static processing (ingesting media at a fixed frame rate), the model can now take an active, goal-directed role in determining what to watch, at what speed, and through which modality (frames, audio, or https:/
485.5K views · 4K likes
· 328 reposts · 72 replies
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friendly reminder: you can connect to and build with the suite of @Google apps in AI Studio
get started today: https://t.co/shgEhF592p https://t.co/2uvvjPGg3P
118.2K views · 1.5K likes
· 123 reposts · 63 replies
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@GoogleAIStudio Good vibes from @ammaar 😎
You can just build things!
730 views · 4 likes
· 0 reposts · 0 replies
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@GoogleAIStudio not with gemini flash model, because it is not coding model
781 views · 5 likes
· 0 reposts · 0 replies
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if you can describe an app, you can build it in AI Studio
check out the new vibe coding course in the Google AI Professional Certificate and turn your ideas into custom, shareable apps. no coding experience needed.
enroll today at https://t.co/LxOJqlQZHY https://t.co/Ob1X77o1SF
96.9K views · 1.2K likes
· 135 reposts · 68 replies
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0:30
Face aux comptes de taille comparable
18 posts des 90 derniers jours, à côté de la tranche de 100K–1M abonnés. diffusé à plus de monde que les comptes de taille comparable.
Vues médianes11 093ce compte5 983médiane pour 100K–1M
Portée, %5.46%ce compte1.49%médiane pour 100K–1M
Engagement, %1.07%ce compte0.93%médiane pour 100K–1M
| Indicateur | Ce compte | Médiane pour 100K–1M | Rapport |
|---|---|---|---|
| Vues médianes par post | 11 093 | 5 983 | 1.85× |
| Portée (vues ÷ abonnés) | 5.46% | 1.49% | 3.66× |
| Taux d'engagement | 1.07% | 0.93% | 1.15× |
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
118.2K31 Aug
485.5K1 Sep
23.3K
62.6K
5.9K2 Sep
445K
63.4K
4.7K
9.2K
39.7K
2K
12.7K4 Sep
6.8K
9.5K
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
1.47%31 Aug
0.92%1 Sep
0.42%
1.55%
0.95%2 Sep
1.25%
0.81%
0.36%
1.84%
1.83%
1.71%
1.19%4 Sep
0.52%
1.75%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes67.0%14 125 in total
Reposts5.8%1 221 in total
Replies2.4%511 in total
Quotes1.4%285 in total
Bookmarks23.4%4 941 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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