Renaud ✓

@onirenaud · Kyoto, Japan · joined 23 Mar 2015

Co-founder @utsuboco WebGPU @threejs

12 722Followers

425Following

2 645Posts total

59.2KViews on collected posts

Neueste Beiträge

Renaud ✓@onirenaud12 Sep

@onirenaud Available here 🛒 👇https://t.co/Gwj76KZbSt 22 views · 0 likes · 0 reposts · 0 replies Open on X →

Renaud ✓@onirenaud12 Sep

@onirenaud I told @rbriaux that this should become a real product 🥹 16 views · 0 likes · 0 reposts · 0 replies Open on X →

Renaud ✓@onirenaud11 Sep

Now that quite a few Three.js folks have seen me IRL at the Three.js Conf in Paris, I thought it was finally time to update my profile picture 😄 Go play with Three.js Blocks, still WIP! https://t.co/DbehyHOaBn I’m gonna focus on it properly once I’m back in Japan next week 🚀 ht

2.4K views · 109 likes · 0 reposts · 3 replies Open on X →

Renaud ✓@onirenaud10 Sep

@onirenaud Haha 🔥 what is her best score ?! :) 197 views · 0 likes · 0 reposts · 0 replies Open on X →

Renaud ✓@onirenaud10 Sep

My wife has been playing with it for the past hour. This badge is way too good to be call just a badge https://t.co/ReqyMHblZI

0:06

33K views · 276 likes · 6 reposts · 8 replies Open on X →

Renaud ✓@onirenaud1 Sep

I’m working on a MetalPathTracingRenderer and MSLNodeBuilder for three.js. Same scene graph, same materials, TSL, supercharged with hardware Ray Tracing, new MetalFX temporal denoising and more. 3456×1944, 3 bounces, 1spp + MetalFX denoising, ~10ms GPU/frame on an M5 Max.⚡️ htt

0:22

6.2K views · 103 likes · 5 reposts · 3 replies Open on X →

Renaud ✓@onirenaud1 Sep

A few weeks ago, W3C published WebNN as a Candidate Recommendation Draft. 🚀 This brings web one step closer to hardware-accelerated AI. Imagine running real-time body tracking or background blurring (like MediaPipe) directly in the browser with native performance. 1/2 https://

2.1K views · 22 likes · 2 reposts · 1 replies Open on X →

Renaud ✓@onirenaud26 Aug

In my talk at @threejsconf I will cover how to interact with a fluid simulation that simulates and renders 1 million+ spheres in WebGPU at 120fps! 🌊⚡️ I picked this example because it combines several different performance optimization techniques. But there will be more! https:

0:05

15.3K views · 348 likes · 27 reposts · 8 replies Open on X →

Im Vergleich zu Konten gleicher Größe

8 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 10K–100K Follower. wird weit gezeigt, aber nur wenige dieser Zuschauer reagieren.

Medianaufrufe2 244dieses Konto1 026Median für 10K–100K

Reichweite, %17.64%dieses Konto3.75%Median für 10K–100K

Interaktion, %1.04%dieses Konto1.68%Median für 10K–100K

Kennzahl	Dieses Konto	Median für 10K–100K	Verhältnis
Medianaufrufe pro Beitrag	2 244	1 026	2.19×
Reichweite (Aufrufe ÷ Follower)	17.64%	3.75%	4.70×
Interaktionsrate	1.04%	1.68%	0.62×

Weitere Konten dieser Größe → Mit einem anderen Konto vergleichen → Wie diese Vergleichswerte entstehen →

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

15.3K26 Aug

2.1K1 Sep

6.2K

33K10 Sep

197

2.4K11 Sep

1612 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

2.50%26 Aug

1.21%1 Sep

1.80%

0.88%10 Sep

0.00%

4.62%11 Sep

0.00%12 Sep

0.00%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.68%.

What the audience does

Likes70.6%858 in total

Reposts3.3%40 in total

Replies1.9%23 in total

Bookmarks24.3%295 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.