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Natasha Malpani 👁 ✓

@natashamalpani · Everywhere · joined 05 Dec 2011

founder @theboundlessvc. investing at the intersection of science + story. @stanford alum 🇬🇧 🇺🇸 🇮🇳

12 988Followers
5 096Following
11 043Posts total
229.8KViews on collected posts

Últimas publicaciones

the oct/nov SF VC darshan is going to be replaced by shenzehn 1.6K views · 13 likes · 1 reposts · 1 replies Open on X →
china trips are ... so back! investors from founders fund, khosla, etc visited recently. ff went to learn abt supply chain dependencies in their portfolio, visiting manufacturing, robotics, self-driving, energy, ai cos, incl minimax in shanghai and ubtech in shenzhen, we heard. 62.9K views · 274 likes · 19 reposts · 12 replies Open on X →
we're obsessed with using AI to save time. @bilawalsidhu is using it to reconstruct space and time. there are two completely different races happening right now. the first is faster emails. better summaries. cheaper decisions. productivity gains you can measure in minutes 9.4K views · 59 likes · 9 reposts · 2 replies Open on X →
jev can transform indian consumer products. we have a structural problem in consumer AI: ARPU is low, but useful AI products often require hundreds of decisions per user session. at Rs 50–100 a month, you can't afford to call a frontier model every time you need to decide what 19.9K views · 354 likes · 16 reposts · 29 replies Open on X →
jev cannot write a sentence, generate code or explain itself. you give it a situation and a list of choices. it picks one and tells you how confident it is. you get a probability score in under 500 milliseconds a fraction of a cost of the frontier models. @CompleteSkeptic 5.7K views · 91 likes · 4 reposts · 8 replies Open on X →
the bangalore/ sf corridor is finally real: founders, capital, and ideas moving both ways. but the conversation needs way more common sense. silicon valley doesn’t fund tourism. it funds ambition, originality. the physics are completely different across the two markets. what 130.3K views · 483 likes · 35 reposts · 17 replies Open on X →

Frente a cuentas del mismo tamaño

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

Visualizaciones medianas9 417esta cuenta924mediana de 10K–100K
Alcance, %72.51%esta cuenta3.62%mediana de 10K–100K
Interacción, %0.93%esta cuenta1.52%mediana de 10K–100K
MétricaEsta cuentaMediana de 10K–100KProporción
Visualizaciones medianas por publicación9 41792410.2×
Alcance (visualizaciones ÷ seguidores)72.51%3.62%20.0×
Tasa de interacción0.93%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

130.3K12 Nov
5.7K19 Sep
19.9K20 Sep
9.4K23 Sep
62.9K
1.6K24 Sep

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.42%12 Nov
1.82%19 Sep
2.03%20 Sep
0.74%23 Sep
0.51%
0.93%24 Sep

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

What the audience does

Likes58.1%1 274 in total
Reposts3.8%84 in total
Replies3.1%69 in total
Quotes1.3%29 in total
Bookmarks33.6%736 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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