Sasha Rush ✓

@srush_nlp · New York, NY · joined 21 Dec 2015

Researcher, Programmer https://t.co/cZl0wTfqGz

83 892Followers

571Following

8 831Posts total

221.4KViews on collected posts

Últimas publicaciones

Sasha Rush ✓@srush_nlp24 Aug

Future goal is primarily to write a bit and maybe learn some math / Lean. In the mean time just hanging out in Brooklyn. 8.8K views · 224 likes · 1 reposts · 15 replies Open on X →

Sasha Rush ✓@srush_nlp24 Aug

@srush_nlp wow, huge congrats on your run at Cursor 🥹 grateful you shared some of your (and cursor team) knowledge through posts like this, tech report ect.. best of luck for what's next https://t.co/49N99hNhrq 2K views · 18 likes · 0 reposts · 0 replies Open on X →

Sasha Rush ✓@srush_nlp24 Aug

Last day at Cursor. An incredible place. Stopped by for coffee, they gave me a keyboard that afternoon, and started helping out on Composer the next week. Feel lucky to have worked with such a fearless and ambitious team. https://t.co/gh8FnzBudF 62.3K views · 1.2K likes · 12 reposts · 68 replies Open on X →

Sasha Rush ✓@srush_nlp21 Aug

Spending some time in Cambridge MA next week. Happy to grab coffee. Things I’m kind of interested in: cool things to do now that proofs are cheap, things RL can’t do, views on what the heck CS is now. 22.4K views · 198 likes · 2 reposts · 10 replies Open on X →

Sasha Rush ✓@srush_nlp19 Aug

Red-Blue Pebble game rules (Hong & Kung, 81) * Cost 1: Blue -> Red / Red -> Blue * Cost 0: Compute (Red-only) / Delete O(n^3) naive matmul scales well with cache-size (red pebbles) under this communication model. https://t.co/7VuzaxW1Rn 10.8K views · 58 likes · 5 reposts · 2 replies Open on X →

Sasha Rush ✓@srush_nlp5 Aug

The kernel folks are living on the front-lines. Where the the "cognitive abstractions" should live in a stack is such an interesting question. 33.8K views · 222 likes · 10 reposts · 6 replies Open on X →

Sasha Rush ✓@srush_nlp31 Jul

Jax added support for opaque types with custom tangents. One cool use is proper handling of batched geometric objects. Here's a short demo of a differentiable rasterization, i.e. min L2 w/ 1500 triangles to a photo. Interesting to move beyond tensors. (https://t.co/96vYxPXIFK) h 20.6K views · 178 likes · 11 reposts · 3 replies Open on X →

Sasha Rush ✓@srush_nlp25 Mar

It's really neat to see all the interest in the Composer 2 technical report, from training to kernel design to inference. If you have any questions about why we did things, feel free to ask. I'll run around the office and bug people. 60.6K views · 321 likes · 18 reposts · 35 replies Open on X →

Frente a cuentas del mismo tamaño

6 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. llega a mucha gente, pero pocos de esos espectadores reaccionan.

Visualizaciones medianas16 618esta cuenta924mediana de 10K–100K

Alcance, %19.81%esta cuenta3.62%mediana de 10K–100K

Interacción, %0.92%esta cuenta1.52%mediana de 10K–100K

Métrica	Esta cuenta	Mediana de 10K–100K	Proporción
Visualizaciones medianas por publicación	16 618	924	18.0×
Alcance (visualizaciones ÷ seguidores)	19.81%	3.62%	5.47×
Tasa de interacción	0.92%	1.52%	0.61×

Otras cuentas de este rango → Comparar con otra cuenta → Cómo se construyen estas referencias →

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

60.6K25 Mar

20.6K31 Jul

33.8K5 Aug

10.8K19 Aug

22.4K21 Aug

62.3K24 Aug

8.8K

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

0.62%25 Mar

0.94%31 Jul

0.70%5 Aug

0.60%19 Aug

0.94%21 Aug

2.14%24 Aug

0.91%

2.72%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes81.3%2 469 in total

Reposts1.9%59 in total

Replies4.6%139 in total

Quotes0.3%10 in total

Bookmarks11.9%360 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.

Últimas publicaciones

Frente a cuentas del mismo tamaño

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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