Abhinav Upadhyay ✓

@abhi9u · joined 13 Jul 2009

NetBSD Dev | Python Internals, AI, compilers, databases, & performance engineering | Join 16k+ other readers at https://t.co/OQfxW0443i

18 569Followers

1 834Following

14 905Posts total

202.2KViews on collected posts

Последние посты

Abhinav Upadhyay ✓@abhi9u23 Aug

Writing leads to clear thinking. https://t.co/HCSsDr2EYz

4.1K views · 179 likes · 7 reposts · 0 replies Open on X →

Abhinav Upadhyay ✓@abhi9u21 Aug

@opdroid1234 Can we configure claude API key in kaho? I've API credits sitting unused :D 1.3K views · 2 likes · 0 reposts · 2 replies Open on X →

Abhinav Upadhyay ✓@abhi9u5 Aug

Excellent write-up on performance work in Numpy and CPython for the Free-Threaded build https://t.co/rcwqvRzzUF https://t.co/BUYGRf2ArV

4.1K views · 75 likes · 12 reposts · 1 replies Open on X →

Abhinav Upadhyay ✓@abhi9u28 Jul

uv revolutionized Python packaging with Rust, and it's exciting to see the revolution reaching plotting as well. I tried xy with nearly 5 million points, and it managed to plot in ~4 ms; Matplotlib took roughly 2 seconds on the same data. But you can't win over matplotlib http

26.2K views · 296 likes · 19 reposts · 4 replies Open on X →

Abhinav Upadhyay ✓@abhi9u29 Jun

I dreamt of writing a book for as long as I can remember, wrote many outlines, but none materialised. Then I started writing this article on virtual memory, which kept getting longer and longer and turned into an unplanned book. Based on all the positive feedback, I recently ht

30.5K views · 502 likes · 58 reposts · 10 replies Open on X →

Abhinav Upadhyay ✓@abhi9u16 May

@abhi9u systems books hit harder once the OS layer clicks. so many database decisions are just memory hierarchy problems wearing a blazer 2.6K views · 19 likes · 0 reposts · 2 replies Open on X →

Abhinav Upadhyay ✓@abhi9u16 May

It is also available as a beautifully typeset 60-page PDF to read offline: https://t.co/fbUy2atjVo A sample: https://t.co/PYx2SwOHjk

8.4K views · 97 likes · 6 reposts · 4 replies Open on X →

Abhinav Upadhyay ✓@abhi9u16 May

Read it here: https://t.co/ZzF3HzosyV 10.1K views · 171 likes · 14 reposts · 1 replies Open on X →

Abhinav Upadhyay ✓@abhi9u16 May

Before jumping into books like DDIA or Database Internals, it helps to understand the systems layer these designs are built on. A lot of the design of such data-intensive systems is based on virtual memory: page tables, page faults, mmap, the page cache, swapping, NUMA https://t

114.8K views · 1.4K likes · 172 reposts · 25 replies Open on X →

На фоне аккаунтов своего размера

4 постов за последние 90 дней рядом с диапазоном 10K–100K подписчиков. показывается большему числу людей, чем аккаунты того же размера.

Медианные просмотры4 100этот аккаунт924медиана для 10K–100K

Охват, %22.08%этот аккаунт3.62%медиана для 10K–100K

Вовлечённость, %1.69%этот аккаунт1.52%медиана для 10K–100K

Показатель	Этот аккаунт	Медиана для 10K–100K	Отношение
Медианные просмотры на пост	4 100	924	4.44×
Охват (просмотры ÷ подписчики)	22.08%	3.62%	6.10×
Вовлечённость	1.69%	1.52%	1.11×

Другие в этом диапазоне → Сравнить с другим аккаунтом → Как считаются эти ориентиры →

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

114.8K16 May

10.1K

8.4K

2.6K

30.5K29 Jun

26.2K28 Jul

4.1K5 Aug

1.3K21 Aug

4.1K23 Aug

Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.42%16 May

1.84%

1.28%

0.80%

1.87%29 Jun

1.22%28 Jul

2.16%5 Aug

0.30%21 Aug

4.50%23 Aug

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

What the audience does

Likes43.4%2 779 in total

Reposts4.5%288 in total

Replies0.8%49 in total

Bookmarks51.3%3 281 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.

Последние посты

На фоне аккаунтов своего размера

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Похожие аккаунты