Chris Lattner ✓

@clattner_llvm · joined 03 Jun 2014

Building beautiful things like Mojo🔥 and MAX @Modular, lifting the world of production AI/ML software into a new phase of innovation. We’re hiring! 🚀🧠

94 580Followers

152Following

2 238Posts total

201.1KViews on collected posts

Neueste Beiträge

Chris Lattner ✓@clattner_llvm2 Sep

AI Kernel gen is easy with the rapid advancement of coding agents - if you have a compiler and dsl like triton/gluon. The real metric is end to end enablement of the entire stack, plus unlocking/integrating a developer community that can share code from NVIDIA ecosystem👇 36.3K views · 209 likes · 16 reposts · 8 replies Open on X →

Chris Lattner ✓@clattner_llvm1 Sep

Support for new AI hardware usually takes a big team, many repos, and a year. Two and a half engineers got a frontier open model serving on @Qualcomm Cloud AI 100 in under six months using the Modular stack, followed by GPT-2 on Qualcomm Dragonfly™ AI 200 in a week. Inside the 38.8K views · 52 likes · 3 reposts · 0 replies Open on X →

Chris Lattner ✓@clattner_llvm28 Aug

GLM-5.3's open weights are public today, and Modular Cloud has day zero support! This is https://t.co/IuBFQzH4Sw’s best model for agentic coding, with a 50% gain over GLM-5.2 on Code Bench, and we use it internally @ Modular Try it on Modular Cloud now: https://t.co/ZArCvBd0CH 26.1K views · 224 likes · 16 reposts · 12 replies Open on X →

Chris Lattner ✓@clattner_llvm25 Aug

I'm starstruck when legends like Ash use Mojo🔥 + LLM coding to solve problems (which I barely understand...) in genomics 🧬 across CPU and GPU with high performance. Check out AffineGaps, an incredible Mojo library building on the learnings of StringZilla and other research!🔬 29.3K views · 290 likes · 20 reposts · 5 replies Open on X →

Chris Lattner ✓@clattner_llvm25 Aug

RNA loves Mojo 🔥, and I love high-polynomial problems! The last couple of weeks were eventful. The news about Moderna's phase 3 trials of mRNA cancer vaccines hit the public... and simultaneously @Modular has released the 1.0 version of Mojo. I got really excited and went on htt

33.4K views · 86 likes · 12 reposts · 1 replies Open on X →

Chris Lattner ✓@clattner_llvm24 Aug

"I love making very big bets that nobody wants to believe in. I love that, and I think we have have a very ambitious goal here. I think this is like an Android and a Kubernetes moment for the industry." - @cristianoamon 24K views · 178 likes · 18 reposts · 2 replies Open on X →

Chris Lattner ✓@clattner_llvm19 Aug

ModCon '26 is a wrap! Thank you to everyone who attended + we will post videos for folks who couldn't. The theme: "Heterogenous compute now has a software platform, and it's real". Modular and QCOM delivered on our promise: we open sourced Mojo🔥, added new hardware, and more! 13.2K views · 182 likes · 12 reposts · 15 replies Open on X →

Im Vergleich zu Konten gleicher Größe

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

Medianaufrufe29 312dieses Konto1 041Median für 10K–100K

Reichweite, %30.99%dieses Konto3.61%Median für 10K–100K

Interaktion, %0.83%dieses Konto1.70%Median für 10K–100K

Kennzahl	Dieses Konto	Median für 10K–100K	Verhältnis
Medianaufrufe pro Beitrag	29 312	1 041	28.2×
Reichweite (Aufrufe ÷ Follower)	30.99%	3.61%	8.58×
Interaktionsrate	0.83%	1.70%	0.49×

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

13.2K19 Aug

24K24 Aug

33.4K25 Aug

29.3K

26.1K28 Aug

38.8K1 Sep

36.3K2 Sep

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.60%19 Aug

0.83%24 Aug

0.30%25 Aug

1.07%

0.97%28 Aug

0.14%1 Sep

0.65%2 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.70%.

What the audience does

Likes73.3%1 221 in total

Reposts5.8%97 in total

Replies2.6%43 in total

Quotes0.5%8 in total

Bookmarks17.8%297 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.