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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

Latest posts

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 →

Against accounts of the same size

5 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views9 417this account924median for 10K–100K
Reach, %72.51%this account3.62%median for 10K–100K
Engagement, %0.93%this account1.52%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post9 41792410.2×
Reach (views ÷ followers)72.51%3.62%20.0×
Engagement rate0.93%1.52%0.61×

Others in this range →   Compare with another account →   How these benchmarks are built →

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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