Sarah Catanzaro ✓

@sarahcat21 · joined 10 May 2014

“All methods are sacred if they are internally necessary” (GP @amplifypartners, prev @canvasvc; Head of Data @Mattermark; @palantirtech; @c4ads)

16 202Followers

1 580Following

6 738Posts total

99.5KViews on collected posts

Son gönderiler

Sarah Catanzaro ✓@sarahcat212 Sep

Like I needed another excuse to visit some of the best engineers and researchers in the world AND hit up the best vintage shops anywhere… 3.3K views · 23 likes · 0 reposts · 4 replies Open on X →

Sarah Catanzaro ✓@sarahcat211 Sep

The right evals framework unlocks the opportunity to execute frontier research on topics ranging from knowledge compression to harness engineering. Amazing talk from Spencer on the @harvey AI team's research agenda. 4.2K views · 20 likes · 0 reposts · 1 replies Open on X →

Sarah Catanzaro ✓@sarahcat211 Sep

Really just waiting for some female VC to put em to shame by sharing how she went through labor with no epidural… 22.9K views · 221 likes · 3 reposts · 20 replies Open on X →

Sarah Catanzaro ✓@sarahcat2131 Aug

Control your own destiny. 4K views · 18 likes · 1 reposts · 0 replies Open on X →

Sarah Catanzaro ✓@sarahcat2131 Aug

In the future, the Internet will be a video model. 5.8K views · 32 likes · 0 reposts · 2 replies Open on X →

Sarah Catanzaro ✓@sarahcat2131 Aug

More and more people are waking up to the reality that frontier level custom models are going to become the standard in the coming years. Thomson-1 is just the first example. And note, they didn't spend $40M on the model, but rather on the model factory. The model itself only 42.5K views · 206 likes · 20 reposts · 8 replies Open on X →

Sarah Catanzaro ✓@sarahcat2128 Aug

The bitter lesson only applies to methods, not to verifiers. Distilling ambiguity into quantified directional signal is the first step in solving real world problems with computation. In this talk at Weights Unknown, I describe the annoyingly simple eval framework we use at htt 16.8K views · 75 likes · 6 reposts · 2 replies Open on X →

Aynı büyüklükteki hesaplara karşı

Son 90 güne ait 7 gönderi, 10K–100K takipçi aralığıyla yan yana. geniş kitleye gösteriliyor, ama izleyenlerin azı tepki veriyor.

Medyan görüntülenme5 824bu hesap95410K–100K için medyan

Erişim, %35.95%bu hesap3.34%10K–100K için medyan

Etkileşim, %0.56%bu hesap1.90%10K–100K için medyan

Ölçüt	Bu hesap	10K–100K için medyan	Oran
Gönderi başına medyan görüntülenme	5 824	954	6.10×
Erişim (görüntülenme ÷ takipçi)	35.95%	3.34%	10.8×
Etkileşim oranı	0.56%	1.90%	0.30×

Bu aralıktaki diğer hesaplar → Başka bir hesapla karşılaştır → Bu kıyas değerleri nasıl kuruluyor →

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

16.8K28 Aug

42.5K31 Aug

5.8K

22.9K1 Sep

4.2K

3.3K2 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

0.52%28 Aug

0.56%31 Aug

0.58%

0.47%

1.08%1 Sep

0.50%

0.82%2 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.90%.

What the audience does

Likes83.6%595 in total

Reposts4.2%30 in total

Replies5.2%37 in total

Quotes1.4%10 in total

Bookmarks5.6%40 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.

Son gönderiler

Aynı büyüklükteki hesaplara karşı

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Benzer hesaplar