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Patrick Loeber

@patloeber · berlin · joined 03 May 2019

member of technical staff @GoogleDeepMind • gemini api & ai studio • my views

75 476Followers
1 268Following
10 182Posts total
120.7KViews on collected posts

Últimas publicaciones

Last week we launched agentic video understanding in Gemini! It navigates timelines dynamically instead of ingesting every frame, cutting tokens by up to 88% and costs by up to 66%! it also supports YouTube links. you can test it in @GoogleAIStudio (toggle it on in settings): h
0:24
27.8K views · 528 likes · 31 reposts · 36 replies Open on X →
thanks team for all the feedback on Gemini and ~1k replies! echoing Ali's note, we take your input seriously and are actively analyzing it! 18K views · 257 likes · 2 reposts · 49 replies Open on X →
it's a fun game :) here's my best score https://t.co/2AcHJqu3N1 https://t.co/8SlzRUlf82
6.5K views · 32 likes · 2 reposts · 10 replies Open on X →
Damn, this is amazing! I shared my game under @patloeber’s tweet, and so many new people discovered my game. 🥹 Thanks, everyone, who tried my game! If you haven’t yet, here’s the link: https://t.co/z5uR0Bw57b Share your score in the comments. Right now, the high score is https
7.8K views · 11 likes · 1 reposts · 2 replies Open on X →
@patloeber that thing can play some chess! https://t.co/lPd8cnXQEh https://t.co/SQ1WSJIML4
15K views · 125 likes · 3 reposts · 4 replies Open on X →
@patloeber the one thing ive noticed is that i really likes to invert controls for some reason. Other than that just from what Ive seen on benchmarks that the token efficiency has lots of room to improve 15.5K views · 52 likes · 2 reposts · 1 replies Open on X →
@patloeber High thinking mode consumes a lot of tokens and time, at similar performance to medium thinking, which uses significantly lower tokens. But, otherwise great job on this release. 12.4K views · 47 likes · 0 reposts · 1 replies Open on X →
Introducing Gemini 3.8 Flash, bringing significant improvements in agentic + coding capabilities from 3.7 Flash, available at the same price. https://t.co/Y8QVKzGgFF
17.8K views · 445 likes · 17 reposts · 33 replies Open on X →

Frente a cuentas del mismo tamaño

8 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. llega a mucha gente, pero pocos de esos espectadores reaccionan.

Visualizaciones medianas15 232esta cuenta1 070mediana de 10K–100K
Alcance, %20.18%esta cuenta3.77%mediana de 10K–100K
Interacción, %0.78%esta cuenta1.65%mediana de 10K–100K
MétricaEsta cuentaMediana de 10K–100KProporción
Visualizaciones medianas por publicación15 2321 07014.2×
Alcance (visualizaciones ÷ seguidores)20.18%3.77%5.35×
Tasa de interacción0.78%1.65%0.48×

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

17.8K2 Sep
12.4K3 Sep
15.5K
15K
7.8K
6.5K
18K4 Sep
27.8K7 Sep

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

2.82%2 Sep
0.39%3 Sep
0.36%
0.89%
0.19%
0.68%
1.71%4 Sep
2.15%7 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.65%.

What the audience does

Likes74.3%1 497 in total
Reposts2.9%58 in total
Replies6.8%136 in total
Quotes0.5%10 in total
Bookmarks15.5%313 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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