タグ

Desktop capture

ライブラリのうち31フレームがDesktop captureに一致し、12ブランドの動画12本にまたがっています。どれも動画そのものから計測したもので、説明文から読み取ったものではありません。つまりこれは、スタイルガイドが説くあるべき姿ではなく、実際にどう使われているかです。

このページにレンダリング画像も機材リストもありません。下にあるのはどれも実際に見に行ける動画の本物の1秒であり、どの数値もサンプルからの推定ではなく実フレームを数えたものです。

フレーム
31
動画
12
ブランド
12
カット間隔の中央値
20.1秒

最も多く撮っているのは

各ブランドがこの切り口にどれだけフレームを出しているかの順です。

Owein 8フレームFarza 6フレームSpline 4フレームRaycast 3フレームOpenAI 3フレームdennis müller 1フレーム
Spline Introducing Spline V2 - AI Agents, WebGPU and MCP at 0:40
SplineIntroducing Spline V2 - AI Agents, WebGPU and MCP
0:40
Spline Introducing Spline V2 - AI Agents, WebGPU and MCP at 0:40
SplineIntroducing Spline V2 - AI Agents, WebGPU and MCP
0:40
Spline Introducing Spline V2 - AI Agents, WebGPU and MCP at 0:43wide presenter
SplineIntroducing Spline V2 - AI Agents, WebGPU and MCP
0:43
Spline Introducing Spline V2 - AI Agents, WebGPU and MCP at 0:43
SplineIntroducing Spline V2 - AI Agents, WebGPU and MCP
0:43
Notion New: Use skills with local agents! Keep your skills in Notion as you... at 0:13
NotionNew: Use skills with local agents! Keep your skills in Notion as you...
0:13
heyclicky let me help you finally install claude code plz at 0:02
heyclickylet me help you finally install claude code plz
0:02
Raycast Window Management in Raycast at 0:10
RaycastWindow Management in Raycast
0:10
Raycast Window Management in Raycast at 0:14
RaycastWindow Management in Raycast
0:14
Raycast Window Management in Raycast at 0:18wide presenter
RaycastWindow Management in Raycast
0:18
Claude Getting started with Claude Cowork at 3:26
ClaudeGetting started with Claude Cowork
3:26
Dennis Müller Amie 2.0 Launch at 0:52wide presenter
Dennis MüllerAmie 2.0 Launch
0:52
OpenAI Talk to ChatGPT Work at 0:19corner inset
OpenAITalk to ChatGPT Work
0:19
OpenAI Talk to ChatGPT Work at 0:25corner inset
OpenAITalk to ChatGPT Work
0:25
OpenAI Talk to ChatGPT Work at 1:09corner inset
OpenAITalk to ChatGPT Work
1:09
GitHub How to run parallel AI agents in the GitHub Copilot app | Tutorial for beginners at 1:47
GitHubHow to run parallel AI agents in the GitHub Copilot app | Tutorial for beginners
1:47
Farza Crazy response on this. There's a shocking amount left to build in 2... at 1:22wide presenter
FarzaCrazy response on this. There's a shocking amount left to build in 2...
1:22
Farza Crazy response on this. There's a shocking amount left to build in 2... at 1:25wide presenter
FarzaCrazy response on this. There's a shocking amount left to build in 2...
1:25
Farza Crazy response on this. There's a shocking amount left to build in 2... at 1:28wide presenter
FarzaCrazy response on this. There's a shocking amount left to build in 2...
1:28
Farza Crazy response on this. There's a shocking amount left to build in 2... at 1:31wide presenter
FarzaCrazy response on this. There's a shocking amount left to build in 2...
1:31
Farza Crazy response on this. There's a shocking amount left to build in 2... at 1:34medium presenter
FarzaCrazy response on this. There's a shocking amount left to build in 2...
1:34
Farza Crazy response on this. There's a shocking amount left to build in 2... at 1:37medium presenter
FarzaCrazy response on this. There's a shocking amount left to build in 2...
1:37
Owein Introducing Lovable for MechE at 0:54corner inset
OweinIntroducing Lovable for MechE
0:54
Owein Introducing Lovable for MechE at 0:58corner inset
OweinIntroducing Lovable for MechE
0:58
Owein Introducing Lovable for MechE at 1:02corner inset
OweinIntroducing Lovable for MechE
1:02
Owein Introducing Lovable for MechE at 1:06corner inset
OweinIntroducing Lovable for MechE
1:06
Owein Introducing Lovable for MechE at 1:10corner inset
OweinIntroducing Lovable for MechE
1:10
Owein Introducing Lovable for MechE at 1:14corner inset
OweinIntroducing Lovable for MechE
1:14
Owein Introducing Lovable for MechE at 1:18corner inset
OweinIntroducing Lovable for MechE
1:18
Owein Introducing Lovable for MechE at 1:56corner inset
OweinIntroducing Lovable for MechE
1:56
Loops How to get design feedback from any audience in under 30 mins at 0:10corner inset
LoopsHow to get design feedback from any audience in under 30 mins
0:10
Figma Figma Live: Codex to Figma with OpenAI at 10:46corner inset
FigmaFigma Live: Codex to Figma with OpenAI
10:46
これで全 31 枚です。

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