Apoorv Agrawal ✓

@apoorv03 · joined 26 Dec 2012

Investing at Altimeter. Before: eng @palantirtech, alum @stanford. Views personal no investment advice

19 509Followers

958Following

861Posts total

138.2KViews on collected posts

โพสต์ล่าสุด

Apoorv Agrawal ✓@apoorv033 Sep

An important initiative and contribution to open-source AI from Baseten! 3.8K views · 27 likes · 1 reposts · 2 replies Open on X →

Apoorv Agrawal ✓@apoorv033 Sep

We're very excited to launch Base Labs to democratize open-source AI research. We'll push the frontier in specialization, learning, reasoning, memory and performance, with a commitment to share all our work openly with the community. 11.7K views · 116 likes · 10 reposts · 8 replies Open on X →

Apoorv Agrawal ✓@apoorv031 Sep

Thrilled that @scifinai has emerged from stealth! @mohitaron founded Nutanix and Cohesity and took both past $1B in revenues. Very few people have done that once. He's done it twice. And now he's back at it a third time! SciFin is solving a simple (but hard) problem: 8.1K views · 58 likes · 6 reposts · 3 replies Open on X →

Apoorv Agrawal ✓@apoorv031 Sep

Get your instinct! 👇 5K views · 11 likes · 0 reposts · 0 replies Open on X →

Apoorv Agrawal ✓@apoorv0328 Aug

Increasing the GDP of AI 8.3K views · 31 likes · 0 reposts · 0 replies Open on X →

Apoorv Agrawal ✓@apoorv034 Apr

@apoorv03 I was wondering if you have any plans for opening it to online students? Zoom, YouTube ? 1.2K views · 5 likes · 0 reposts · 0 replies Open on X →

Apoorv Agrawal ✓@apoorv033 Apr

@apoorv03 Well done. Waiting to listen to the live stream! 2.9K views · 10 likes · 1 reposts · 1 replies Open on X →

Apoorv Agrawal ✓@apoorv033 Apr

Taught my first class at Stanford Engineering yesterday. "Economics of the AI Supercycle" Condensing everything I've learned investing across the AI stack into a course. Nothing sharpens your thinking like teaching it to brilliant students. Packed room, great questions, blown h 97.3K views · 819 likes · 55 reposts · 37 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

5 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม แสดงในวงกว้าง แต่มีผู้ชมตอบสนองน้อย.

ยอดดูมัธยฐาน8 077บัญชีนี้924ค่ามัธยฐานของ 10K–100K

การเข้าถึง, %41.40%บัญชีนี้3.62%ค่ามัธยฐานของ 10K–100K

การมีส่วนร่วม, %0.80%บัญชีนี้1.52%ค่ามัธยฐานของ 10K–100K

ตัวชี้วัด	บัญชีนี้	ค่ามัธยฐานของ 10K–100K	อัตราส่วน
ยอดดูมัธยฐานต่อโพสต์	8 077	924	8.74×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)	41.40%	3.62%	11.4×
อัตราการมีส่วนร่วม	0.80%	1.52%	0.52×

บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →

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

97.3K3 Apr

2.9K

1.2K4 Apr

8.3K28 Aug

5K1 Sep

8.1K

11.7K3 Sep

3.8K

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

0.94%3 Apr

0.42%

0.43%4 Apr

0.37%28 Aug

0.22%1 Sep

0.84%

1.15%3 Sep

0.80%

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

What the audience does

Likes61.1%1 077 in total

Reposts4.1%73 in total

Replies2.9%51 in total

Quotes0.6%10 in total

Bookmarks31.3%553 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.