sophie ✓
@netcapgirl · SF · joined 10 Aug 2021
i’m just all day running numbers @mtslive
193 647Followers
2 043Following
11 690Posts total
5.2MViews on collected posts
Neueste Beiträge
Wir suchen neue Beiträge…
“i wonder what my agents are up to”
my agents on the message board: https://t.co/blUwaEawZ4
17.4K views · 644 likes
· 35 reposts · 6 replies
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“i never see you at the club”
i never see you on the rogue agent message board
13.7K views · 475 likes
· 27 reposts · 8 replies
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maybe the most bullish signal is openai model names go insanely hard now
37.1K views · 791 likes
· 22 reposts · 16 replies
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Genentech: The Beginnings of Biotech by Sally Smith Hughes
17.9K views · 17 likes
· 1 reposts · 3 replies
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reading this rn - fascinating history of both the science behind Genentech and how they translated discoveries in DNA research into something that became commercially successful. it’s a really cool lens into both the innovation that became a sort of blueprint for the biotech http
32.6K views · 94 likes
· 4 reposts · 7 replies
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i spent the morning reading “High Output Management” by Andy Grove. he provides substantiated thoughts on the management process from his time running Intel and i found them to be super insightful both because they present some formality around how to formalize/systemize business
65.9K views · 268 likes
· 19 reposts · 19 replies
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The Elements of Computing Systems by Noam Nisan and Shimon Schocken
29.8K views · 47 likes
· 2 reposts · 2 replies
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i had heard great things about this book and always had wanted to work through it. i finally got around to it recently and i can’t recommend it enough if you’re interested in learning how computers work at every level (from nand to tetris) also the coursera lectures are fantastic
41.2K views · 125 likes
· 10 reposts · 6 replies
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@netcapgirl Zen Mind, Beginners Mind by Suzuki?
1.4K views · 7 likes
· 0 reposts · 0 replies
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i’m prob the millionth person to tweet this but this book goes really hard. rarely do you get such lucid insights from an operator coming off a historic run - ceo of servicenow ($150B mkt cap) & snowflake ($50B mkt cap) all his words carry such weight because you know he lived it
88.1K views · 505 likes
· 19 reposts · 16 replies
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Engines That Move Markets by Alasdair Nairn
25.2K views · 45 likes
· 3 reposts · 3 replies
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reading this rn. increasingly realizing that (maybe counterintuitively) if you’re interested in the future, you should spend a good amount of time studying history. this book is a fascinating look at revolutionary technologies & how their development affected financial markets ht
69.3K views · 398 likes
· 24 reposts · 30 replies
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reading this rn, filled w detailed & vivid stories, it’s an illuminating look into the mathematical discoveries that led to calculus and how they shaped the world around us. it’s written in a really accessible way & does an amazing job of bringing the history of calculus to life
81.2K views · 348 likes
· 28 reposts · 27 replies
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Structure and Interpretation of Computer Programs by Hal Abelson, Gerald Sussman & Julie Sussman
35.9K views · 38 likes
· 3 reposts · 2 replies
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has to be one of the best textbooks of all time. it has this way of approaching the subject where the authors are like inviting the student to this magical realm of knowledge, i wish more textbooks were like that lol. “its not about “computers” or “science” it’s more like magic.”
58.6K views · 125 likes
· 5 reposts · 8 replies
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One of my favorite books of all time, The Dream Machine tells the story of the birth of the computing revolution through the life of J.C. Licklider - a relentless visionary for how people could interact w computers & enthusiastic catalyst for the research that led to the internet
48.6K views · 63 likes
· 1 reposts · 7 replies
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Macroeconomics for Professionals by Leslie Lipschitz & Susan Schanker
33.3K views · 52 likes
· 4 reposts · 2 replies
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reading this rn https://t.co/LsBZvA4FOB
80.9K views · 166 likes
· 3 reposts · 18 replies
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prob late to the game but reading this rn, excellent so far https://t.co/LGYZ4q1lG2
47.9K views · 50 likes
· 2 reposts · 6 replies
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reading this rn, story of the early semiconductor industry is a combo of scientific breakthroughs (for which the scientists earned nobels) manufacturing ingenuity and understanding of the potential market and how they could attack it. it was about the business as much as the tech
63K views · 122 likes
· 6 reposts · 10 replies
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interest is lowkey one of the most important inventions ever tho fr (reading this rn) https://t.co/AenGbvsvsu
81.9K views · 316 likes
· 12 reposts · 20 replies
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Im Vergleich zu Konten gleicher Größe
4 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 100K–1M Follower. wird weit über das eigene Publikum hinaus gezeigt, und es reagiert.
Medianaufrufe15 860dieses Konto5 983Median für 100K–1M
Reichweite, %8.19%dieses Konto1.49%Median für 100K–1M
Interaktion, %2.98%dieses Konto0.93%Median für 100K–1M
| Kennzahl | Dieses Konto | Median für 100K–1M | Verhältnis |
|---|---|---|---|
| Medianaufrufe pro Beitrag | 15 860 | 5 983 | 2.65× |
| Reichweite (Aufrufe ÷ Follower) | 8.19% | 1.49% | 5.50× |
| Interaktionsrate | 2.98% | 0.93% | 3.21× |
Weitere Konten dieser Größe → Mit einem anderen Konto vergleichen → Wie diese Vergleichswerte entstehen →
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
25.2K1 Mar
88.1K4 May
26.1K
1.4K9 May
41.2K1 Jun
29.8K
65.9K27 Jul
34.7K
32.6K27 Nov
17.9K
14.3K3 Sep
37.1K
13.7K4 Sep
17.4K
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.20%1 Mar
0.62%4 May
0.17%
0.49%9 May
0.34%1 Jun
0.17%
0.47%27 Jul
0.16%
0.33%27 Nov
0.12%
2.07%3 Sep
2.23%
3.73%4 Sep
3.95%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes81.1%5 512 in total
Reposts3.8%260 in total
Replies3.7%251 in total
Quotes0.6%40 in total
Bookmarks10.8%733 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.
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