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Presenter webcam

라이브러리에서 42프레임이 Presenter webcam에 해당하며 9개 브랜드의 영상 9편에 걸쳐 있습니다. 전부 설명글이 아니라 영상 자체에서 측정한 것이라, 스타일 가이드가 말하는 이상이 아니라 실제로 이 샷이 어떻게 쓰이는지를 보여줍니다.

이 페이지에 렌더 이미지도 장비 목록도 없습니다. 아래의 모든 스틸은 직접 찾아볼 수 있는 영상의 실제 1초이고, 모든 숫자는 표본 추정이 아니라 실제 프레임을 센 값입니다.

프레임
42
영상
9
브랜드
9
컷 간격 중앙값
15.8초

가장 많이 찍는 곳

각 브랜드가 이 구간에 넣은 프레임 수 순입니다.

Mobbin I Gave Claude 600,000 UI Screens… Then This Happened at 2:02corner inset
MobbinI Gave Claude 600,000 UI Screens… Then This Happened
2:02
Mobbin I Gave Claude 600,000 UI Screens… Then This Happened at 2:18corner inset
MobbinI Gave Claude 600,000 UI Screens… Then This Happened
2:18
Mobbin I Gave Claude 600,000 UI Screens… Then This Happened at 2:22corner inset
MobbinI Gave Claude 600,000 UI Screens… Then This Happened
2:22
Things Inc New features on desktop web at 1:30wide presenter
Things IncNew features on desktop web
1:30
Things Inc New features on desktop web at 1:34medium presenter
Things IncNew features on desktop web
1:34
Things Inc New features on desktop web at 1:38wide presenter
Things IncNew features on desktop web
1:38
Things Inc New features on desktop web at 1:42wide presenter
Things IncNew features on desktop web
1:42
Things Inc New features on desktop web at 1:46wide presenter
Things IncNew features on desktop web
1:46
Things Inc New features on desktop web at 1:50wide presenter
Things IncNew features on desktop web
1:50
Ammaar Reshi Introducing Gemini 3.5 Transcribe 🚀   Our most precise speech to text... at 1:34corner inset
Ammaar ReshiIntroducing Gemini 3.5 Transcribe 🚀 Our most precise speech to text...
1:34
Ammaar Reshi Introducing Gemini 3.5 Transcribe 🚀   Our most precise speech to text... at 1:38corner inset
Ammaar ReshiIntroducing Gemini 3.5 Transcribe 🚀 Our most precise speech to text...
1:38
Ammaar Reshi Introducing Gemini 3.5 Transcribe 🚀   Our most precise speech to text... at 1:42corner inset
Ammaar ReshiIntroducing Gemini 3.5 Transcribe 🚀 Our most precise speech to text...
1:42
Ammaar Reshi Introducing Gemini 3.5 Transcribe 🚀   Our most precise speech to text... at 1:46corner inset
Ammaar ReshiIntroducing Gemini 3.5 Transcribe 🚀 Our most precise speech to text...
1:46
Ammaar Reshi Introducing Gemini 3.5 Transcribe 🚀   Our most precise speech to text... at 1:50corner inset
Ammaar ReshiIntroducing Gemini 3.5 Transcribe 🚀 Our most precise speech to text...
1:50
Ammaar Reshi Introducing Gemini 3.5 Transcribe 🚀   Our most precise speech to text... at 1:54corner inset
Ammaar ReshiIntroducing Gemini 3.5 Transcribe 🚀 Our most precise speech to text...
1:54
Product Fit Quick introduction at 0:42corner inset
Product FitQuick introduction
0:42
Product Fit Quick introduction at 0:46corner inset
Product FitQuick introduction
0:46
Product Fit Quick introduction at 0:50corner inset
Product FitQuick introduction
0:50
Product Fit Quick introduction at 0:54corner inset
Product FitQuick introduction
0:54
Product Fit Quick introduction at 0:58corner inset
Product FitQuick introduction
0:58
Product Fit Quick introduction at 1:02corner inset
Product FitQuick introduction
1:02
Lobe Introducing Lobe  |  Build your first machine learning model in ten minutes. at 8:44corner inset
LobeIntroducing Lobe | Build your first machine learning model in ten minutes.
8:44
Lobe Introducing Lobe  |  Build your first machine learning model in ten minutes. at 8:52corner inset
LobeIntroducing Lobe | Build your first machine learning model in ten minutes.
8:52
Lobe Introducing Lobe  |  Build your first machine learning model in ten minutes. at 9:00corner inset
LobeIntroducing Lobe | Build your first machine learning model in ten minutes.
9:00
Lobe Introducing Lobe  |  Build your first machine learning model in ten minutes. at 9:08corner inset
LobeIntroducing Lobe | Build your first machine learning model in ten minutes.
9:08
Lobe Introducing Lobe  |  Build your first machine learning model in ten minutes. at 9:16corner inset
LobeIntroducing Lobe | Build your first machine learning model in ten minutes.
9:16
Lobe Introducing Lobe  |  Build your first machine learning model in ten minutes. at 9:24corner inset
LobeIntroducing Lobe | Build your first machine learning model in ten minutes.
9:24
Farza Pretty insane usage on this rn.  > 80,000 messages sent. > 10,0... at 2:49corner inset
FarzaPretty insane usage on this rn. > 80,000 messages sent. > 10,0...
2:49
Farza Pretty insane usage on this rn.  > 80,000 messages sent. > 10,0... at 2:53corner inset
FarzaPretty insane usage on this rn. > 80,000 messages sent. > 10,0...
2:53
Farza Pretty insane usage on this rn.  > 80,000 messages sent. > 10,0... at 2:57wide presenter
FarzaPretty insane usage on this rn. > 80,000 messages sent. > 10,0...
2:57
Farza Pretty insane usage on this rn.  > 80,000 messages sent. > 10,0... at 3:01wide presenter
FarzaPretty insane usage on this rn. > 80,000 messages sent. > 10,0...
3:01
Farza Pretty insane usage on this rn.  > 80,000 messages sent. > 10,0... at 3:25corner inset
FarzaPretty insane usage on this rn. > 80,000 messages sent. > 10,0...
3:25
Farza Pretty insane usage on this rn.  > 80,000 messages sent. > 10,0... at 3:29wide presenter
FarzaPretty insane usage on this rn. > 80,000 messages sent. > 10,0...
3:29
Farza Pretty insane usage on this rn.  > 80,000 messages sent. > 10,0... at 3:33wide presenter
FarzaPretty insane usage on this rn. > 80,000 messages sent. > 10,0...
3:33
Wispr Flow Watch Flow in Action at 0:10corner inset
Wispr FlowWatch Flow in Action
0:10
Wispr Flow Watch Flow in Action at 0:13corner inset
Wispr FlowWatch Flow in Action
0:13
Wispr Flow Watch Flow in Action at 0:16corner inset
Wispr FlowWatch Flow in Action
0:16
Wispr Flow Watch Flow in Action at 0:19corner inset
Wispr FlowWatch Flow in Action
0:19
Wispr Flow Watch Flow in Action at 0:22corner inset
Wispr FlowWatch Flow in Action
0:22
Wispr Flow Watch Flow in Action at 0:25corner inset
Wispr FlowWatch Flow in Action
0:25
Loops How to get design feedback from any audience in under 30 mins at 0:34
LoopsHow to get design feedback from any audience in under 30 mins
0:34
37signals How does Basecamp work? at 2:22corner inset
37signalsHow does Basecamp work?
2:22
이걸로 42장 전부입니다.

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