Josh Elman ✓
@joshelman · Silicon Valley, CA · joined 23 Mar 2007
I have been very lucky to work on or invest in many products I use every day including this. Now finding and helping the next great consumer companies at @a16z
170 213Followers
3 349Following
24 052Posts total
5.7MViews on collected posts
Latest posts
Looking for new posts…
I have learned this is a re-creation of what may have been a transcript based on facts known at the time such as “Let’s Roll” but is not a documented recording. Still such a powerful memory of this day as is the movie Flight 93 which is worth a rewatch
https://t.co/DheD9lu3KV
133.8K views · 583 likes
· 16 reposts · 18 replies
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@joshelman Thank you for sharing this transcript. It brings me to tears every time I read it thinking about how courageous those men on Flight 93 were https://t.co/8LIpqu0ZKq
66.8K views · 971 likes
· 22 reposts · 4 replies
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Todd: (softer) God help me…Jesus help me….(clears throat and louder)
Are you guys ready?……..
Let’s Roll……………………
150.2K views · 2.6K likes
· 146 reposts · 31 replies
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Todd: Our home number is 201 353-1073…….You have the same name as my wife…Lisa….We’ve been married for 10 years. She’s pregnant with our 3rd child. Tell her that I love her…….(choking up)..I’ll always love her..(clearing throat) We have two boys.. David, he’s 3 and Andrew,
166.7K views · 2.3K likes
· 209 reposts · 14 replies
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Worth the read every year. #neverforget
Todd: Hello… Operator…listen to me…I can’t speak very loud. – This is an emergency. I’m a passenger on a United flight to San Francisco.. We have a situation here….Our plane has been hijacked…..can you understand me?
Lisa:
1.7M views · 10.4K likes
· 1.4K reposts · 102 replies
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ps. i stand by every word, drafted with help of ai.
7.6K views · 75 likes
· 0 reposts · 5 replies
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The new moats are the same as the old moats
Every few years, we fall in love with shiny new tech and forget the basic physics of consumer software.
We’re doing it again with AI.
The new moats aren't new at all. They're the exact same as the old moats: network effects,
230.4K views · 1.7K likes
· 147 reposts · 177 replies
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Multiple agents working together can accomplish anything
AGI
26.3K views · 140 likes
· 7 reposts · 11 replies
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This quickly goes from oh the agents are cute to the scariest horror story ever
9.5K views · 31 likes
· 0 reposts · 5 replies
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Ok this would be incredible for San Francisco
50.7K views · 477 likes
· 5 reposts · 46 replies
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@joshelman @alexkehr Alcatraz reimagined as a Soho House. https://t.co/G5Fp3JBTfX
55.6K views · 46 likes
· 4 reposts · 7 replies
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the openai huggingface incident, from an agents pov.
(part 1) https://t.co/mr3DitfBcv
1.7M views · 11.9K likes
· 1.4K reposts · 264 replies
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1:52
@joshelman These are the people who tried to turn heated seats into a subscription though.
21.8K views · 679 likes
· 3 reposts · 3 replies
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@joshelman Reminds me of that time iTunes did a deal with U2 and pushed the album Songs of Innocence into your library in a way that you couldn't delete it.
Of course for technical reasons, it also sorted first within your library. So for months, my Volkswagen’s Apple CarPlay wo
64.9K views · 1K likes
· 20 reposts · 18 replies
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@joshelman BMW has been in the forefront of trying to monetize post-sale. For ex, in some mkts, you bought heated seats by subscription. For a while CarPlay was available only by sub. They have been pushing the boundaries - feature only by sub, back off, try again with another fe
21.5K views · 207 likes
· 1 reposts · 6 replies
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1/ I’m thrilled to announce that I’m joining @a16z as a partner to help find and support building the next generation of great consumer companies. Let me talk a little about why.
578.7K views · 1.2K likes
· 37 reposts · 289 replies
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Against accounts of the same size
18 posts from the last 90 days, next to the 100K–1M follower range. shown to more people than peers of the same size.
Median views65 844this account6 369median for 100K–1M
Reach, %38.68%this account1.92%median for 100K–1M
Engagement, %0.88%this account1.15%median for 100K–1M
| Metric | This account | Median for 100K–1M | Ratio |
|---|---|---|---|
| Median views per post | 65 844 | 6 369 | 10.3× |
| Reach (views ÷ followers) | 38.68% | 1.92% | 20.1× |
| Engagement rate | 0.88% | 1.15% | 0.77× |
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
21.8K4 Aug
1.7M4 Sep
55.6K5 Sep
50.7K
9.5K
26.3K6 Sep
230.4K7 Sep
7.6K
3.8K8 Sep
1.7M11 Sep
166.7K
150.2K
66.8K
133.8K
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
3.15%4 Aug
0.82%4 Sep
0.11%5 Sep
1.05%
0.38%
0.62%6 Sep
0.90%7 Sep
1.07%
0.86%8 Sep
0.68%11 Sep
1.49%
1.86%
1.49%
0.46%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.15%.
What the audience does
Likes66.9%35 061 in total
Reposts6.6%3 456 in total
Replies2.1%1 122 in total
Quotes1.0%549 in total
Bookmarks23.3%12 193 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
Followers by day
8 Sep15 Sep
Daily snapshots since 08 Sep 2026; the dashed line is the starting count.
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