Azalia Mirhoseini ✓

@Azaliamirh · Stanford, CA · joined 30 May 2013

Founder @RicursiveAI, Asst. Prof. of CS at Stanford. Prev: DeepMind, Anthropic, Brain. Co-Creator of MoEs, AlphaChip, Test Time Scaling.

20 900Followers

641Following

556Posts total

363KViews on collected posts

Against accounts of the same size

6 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views15 230this account1 456median for 10K–100K

Reach, %72.87%this account4.50%median for 10K–100K

Engagement, %0.76%this account1.88%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	15 230	1 456	10.5×
Reach (views ÷ followers)	72.87%	4.50%	16.2×
Engagement rate	0.76%	1.88%	0.40×

Others in this range → Compare with another account → How these benchmarks are built →

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

253.9K2 Dec

5.7K18 Aug

50.6K20 Aug

17.6K21 Aug

15.2K27 Aug

15.3K

4.7K

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

0.72%2 Dec

0.70%18 Aug

0.82%20 Aug

1.29%21 Aug

1.79%27 Aug

0.34%

0.42%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.88%.

What the audience does

Likes67.8%2 387 in total

Reposts6.6%232 in total

Replies5.3%185 in total

Quotes1.1%39 in total

Bookmarks19.3%680 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.

Latest posts

Thanks for being an amazing partner along the way, Stephanie! 4.7K views · 18 likes · 0 reposts · 2 replies 27 Aug 2026 So well deserved! The AI era is compute-constrained, and chip design is one of the deepest bottlenecks. @annadgoldie & @Azaliamirh are true forces of nature: they saw this early (before this has now become obvious!) and built @RicursiveAI to solve for it Now they’re proving 15.3K views · 42 likes · 4 reposts · 4 replies 27 Aug 2026 Honored to be named to @TIME's TIME100 List of the World's Most Influential People in AI, even more so to share it with my co-founder @annadgoldie! Anna and I started working on AI for Chip Design almost a decade ago. Last year, we started @RicursiveAI to transform end-to-end ht 15.2K views · 215 likes · 23 reposts · 30 replies 27 Aug 2026 Check out Hawkeye, which writes high-performance kernels utilizing advanced architectural features (e.g., TMA for async data transfer on Blackwell, L2 locality on MI350) from only one handwritten example and ~10 unit tests. Hawkeye can port kernels across architectures (Ampere, 17.6K views · 208 likes · 17 reposts · 2 replies 21 Aug 2026 We’ve seen an explosion of new ML chips with unique architectural features, but software support remains the critical bottleneck Achieving peak performance increasingly relies on hardware-specific optimizations in the kernels, but we observe that coding agents are particularly h 50.6K views · 332 likes · 55 reposts · 19 replies 20 Aug 2026 📈 5.7K views · 39 likes · 0 reposts · 1 replies 18 Aug 2026 Thrilled to share that @annadgoldie and I are launching @RicursiveAI, a frontier lab enabling recursive self-improvement through AIs that design their own chips. Our vision for transforming chip design began with AlphaChip, an AI for layout optimization used to design four 253.9K views · 1.5K likes · 133 reposts · 127 replies 02 Dec 2025