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dara khosrowshahi engagement report

@dkhos - 5.0M followers on X

Measured over 3 original posts from a 30-day window, last computed on October 24, 2026.

Engagement

Per follower
0.013%
of 5.0M followers
Per impression
0.502%
132K views on a typical post
Reach
2.63%
of its followers see a post
Typical post
662
interactions (median)
Saved
0.021%
27 bookmarks on a typical post
Posting rate
0.37/day
active 30% of days
Peak time
10:00 UTC
Monday

Early reading. We have captured 3 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 662 interactions against 5.0M followers, an engagement rate of 0.013%. Posts are seen about 132K times each, and 0.502% of those impressions turn into an interaction. That is about 2.63% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.37 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 10:00 UTC, and Monday is the busiest day of the week. Of the 3 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 19K interactions, about 29x its own typical post. Only 3 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 3 original posts from a 30-day window, last computed on October 24, 2026.

Where this sits in the catalog

At 0.013%, dara khosrowshahi sits above the 10th percentile of the 204,424 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,424 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,888 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.677%
90th percentile2.55%
99th percentile82.4%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 10:00 UTC, and Monday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 10:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 10:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%89K
01:00 UTC-2%90K
02:00 UTC-3%88K
03:00 UTC-4%94K
04:00 UTC-5%76K
05:00 UTC-4%75K
06:00 UTC-5%86K
07:00 UTC-5%93K
08:00 UTC-4%108K
09:00 UTC-4%124K
10:00 UTC-3%129K
11:00 UTC-3%141K
12:00 UTC-3%154K
13:00 UTC-3%167K
14:00 UTC-4%173K
15:00 UTC-2%176K
16:00 UTC-3%171K
17:00 UTC-3%159K
18:00 UTC-2%149K
19:00 UTC-2%141K
20:00 UTC-1%131K
21:00 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Formats this account uses

Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video100% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 100% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
  • 0% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 242 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.

Best tweets

  • Aug 4, 202629x their median

    Today, we’re launching Alpamayo 2 Super, our frontier open reasoning model for autonomous vehicles. Beyond seeing, Alpamayo understands and reasons through the complex world - thinks before it acts. It’s a powerful backbone for robotaxis, trucks, shuttles, delivery vans, tractors and the long tail of mobile robots—billions of autonomous machines someday. We’re releasing it for commercial use under OpenMDW-1.1 so teams can inspect it, fine-tune it and deploy it—open models advance safety and security. The next wave of AI is robotics—and it starts with autonomous vehicles. Great work, Alpamayo team! https://t.co/2PYCCXWjZh

    16K1.8K1.1K5232.1M viewsView on X
  • Mar 17, 202625x their median

    Importante: Uber invertirá 500 millones de dólares en Argentina Mantuve una excelente reunión junto a @JoseLuisDazaAR con Dara Khosrowshahi, CEO de Uber; Eli Frías, Gerente General de la empresa para Argentina; y Juan Martín Cappellini, Head de Uber Eats Argentina. En el marco de sus 10 años en el país, la compañía nos anunció una inversión de USD 500 millones para los próximos 3 años para expandir su operación, relanzar Uber Eats y seguir consolidando a la Argentina como mercado prioritario. 🇦🇷🇦🇷🇦🇷

    6.1K998908219399K viewsView on X
  • Mar 19, 202618x their median

    I’m excited to announce a partnership with @Uber. As part of this, Uber plans to invest up to $1.25 billion in Rivian and deploy up to 50,000 R2 robotaxis. This partnership accelerates our path to Level 4 autonomy and supports our goal of building one of the safest autonomous platforms in the world—across both shared and personally owned vehicles. The combination of Rivian’s rapidly growing data flywheel, our in-house RAP1 inference platform (800 TOPS), and our multi-modal perception stack provides a powerful foundation to scale autonomy quickly and responsibly over the next couple of years.

    4.9K353422142880K viewsView on X
  • May 12, 20263.0x their median

    I just spent a day out in Delhi, and took a Metro ride booked right through the @Uber app. With more than 10 million metro rides booked on Uber in India, it’s clear that commuters love it. If you haven’t tried it yet, here is another nudge why you should give it a try. https://t.co/3hpgqgYjfQ

    1.7K10114822106K viewsView on X
  • Aug 13, 20262.8x their median

    We are bringing robotaxis to the streets of Japan! 🇯🇵 By the end of 2026, riders in Tokyo will be able to experience the next generation of mobility right from the Uber app. We’re teaming up with @TAXI_HINOMARU, @NissanMotor, and @wayve_ai to launch our autonomous vehicle pilot. Together, we’re ready to transform how people move around one of the world's most dynamic cities!

    1.4K30689116503K viewsView on X
  • May 13, 20262.0x their median

    Great to meet @gautam_adani in Ahmedabad this morning and build on our existing partnership with the Adani group. As India fast emerges as a leading innovation hub for @Uber, we are setting up our first data center in the country with the Adani Group to test and deploy our tech. Ready later this year, this investment will help us build at scale - from India, for the world.

    1.1K10512528156K viewsView on X
  • Oct 9, 20262.0x their median

    Great to host @gautam_adani, @jeet_adani1 from @AdaniOnline at @Uber. We’re partnered at 7 Adani airports, incl Navi Mumbai, that handle a quarter of India's air traffic. We talked about what’s next: AI, AVs + an even better airport experience for travelers across India, one of the world’s most exciting markets.

    1.1K659121173K viewsView on X
  • Jul 14, 2026

    The ultimate sync 🤝 https://t.co/WPArYROg6a

    66511986490K viewsView on X
  • May 14, 2026

    Bike ✅ Helmet ✅ Daam Pachchis Hai! (“Rides at just 25 Rupees”!) https://t.co/SVRLd1BbRD

    58851125766K viewsView on X
  • Sep 28, 2026

    Amazing energy today w the incredible @deliveryherocom team here in Berlin! Thrilled about what we can accomplish together. https://t.co/Za6nOL74xM

    52641887132K viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

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Reading these numbers

A typical post picks up 662 interactions against 5.0M followers, an engagement rate of 0.013%. Posts are seen about 132K times each, and 0.502% of those impressions turn into an interaction. That is about 2.63% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.37 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 10:00 UTC, and Monday is the busiest day of the week. Of the 3 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 19K interactions, about 29x its own typical post. Only 3 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is dara khosrowshahi's engagement rate on X?
dara khosrowshahi (@dkhos) has an engagement rate of 0.013%, based on the median interactions across 3 original posts from the last 30 days against 5,013,190 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.013%, dara khosrowshahi sits above the 10th percentile of the 204,424 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @dkhos have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @dkhos post?
Most posts go out around 10:00 UTC, and Monday is its busiest day, at roughly 0.37 posts per day across the measured window.

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