Presenter webcam

42 frame di pustaka cocok dengan Presenter webcam, tersebar di 9 film dari 9 merek. Semuanya diukur langsung dari filmnya, bukan dibaca dari deskripsi, jadi ini adalah cara shot tersebut benar-benar dipakai, bukan cara yang dianjurkan sebuah panduan gaya.

Tidak ada render di halaman ini dan tidak ada daftar peralatan. Setiap gambar di bawah adalah satu detik nyata dari film yang bisa Anda tonton sendiri, dan setiap angka menghitung frame sungguhan alih-alih memperkirakannya dari sampel.

Frame: 42
Film: 9
Merek: 9
Median potongan: 15.8 dtk

Siapa yang paling sering begini

Diurutkan menurut berapa banyak frame yang disumbang tiap merek ke irisan pustaka ini.

Farza 7 frame Wispr Flow 6 frame Things Inc 6 frame Ammaar Reshi 6 frame Lobe 6 frame Product Fit 6 frame

Mobbin I Gave Claude 600,000 UI Screens… Then This Happened at 2:02

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MobbinI Gave Claude 600,000 UI Screens… Then This Happened

2:02

Mobbin I Gave Claude 600,000 UI Screens… Then This Happened at 2:18

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MobbinI Gave Claude 600,000 UI Screens… Then This Happened

2:18

Mobbin I Gave Claude 600,000 UI Screens… Then This Happened at 2:22

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MobbinI Gave Claude 600,000 UI Screens… Then This Happened

2:22

Things Inc New features on desktop web at 1:30

wide presenter

Things IncNew features on desktop web

1:30

Things Inc New features on desktop web at 1:34

medium presenter

Things IncNew features on desktop web

1:34

Things Inc New features on desktop web at 1:38

wide presenter

Things IncNew features on desktop web

1:38

Things Inc New features on desktop web at 1:42

wide presenter

Things IncNew features on desktop web

1:42

Things Inc New features on desktop web at 1:46

wide presenter

Things IncNew features on desktop web

1:46

Things Inc New features on desktop web at 1:50

wide presenter

Things IncNew features on desktop web

1:50

Ammaar Reshi Introducing Gemini 3.5 Transcribe 🚀 Our most precise speech to text... at 1:34

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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 1:38

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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 1:42

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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 1:46

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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 1:50

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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 1:54

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Ammaar ReshiIntroducing Gemini 3.5 Transcribe 🚀 Our most precise speech to text...

1:54

Product Fit Quick introduction at 0:42

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Product FitQuick introduction

0:42

Product Fit Quick introduction at 0:46

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Product FitQuick introduction

0:46

Product Fit Quick introduction at 0:50

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Product FitQuick introduction

0:50

Product Fit Quick introduction at 0:54

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Product FitQuick introduction

0:54

Product Fit Quick introduction at 0:58

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Product FitQuick introduction

0:58

Product Fit Quick introduction at 1:02

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Product FitQuick introduction

1:02

Lobe Introducing Lobe | Build your first machine learning model in ten minutes. at 8:44

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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 8:52

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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 9:00

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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 9:08

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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 9:16

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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 9:24

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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 2:49

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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 2:53

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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 2:57

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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 3:01

wide 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 3:25

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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 3:29

wide 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 3:33

wide presenter

FarzaPretty insane usage on this rn. > 80,000 messages sent. > 10,0...

3:33

Wispr Flow Watch Flow in Action at 0:10

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Wispr FlowWatch Flow in Action

0:10

Wispr Flow Watch Flow in Action at 0:13

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Wispr FlowWatch Flow in Action

0:13

Wispr Flow Watch Flow in Action at 0:16

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Wispr FlowWatch Flow in Action

0:16

Wispr Flow Watch Flow in Action at 0:19

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Wispr FlowWatch Flow in Action

0:19

Wispr Flow Watch Flow in Action at 0:22

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Wispr FlowWatch Flow in Action

0:22

Wispr Flow Watch Flow in Action at 0:25

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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 2:22

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37signalsHow does Basecamp work?

2:22

Sudah semua: 42 frame.