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Andy Jassy engagement report

@ajassy - 6.0M followers on X

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

Engagement

Per follower
0.026%
of 6.0M followers
Per impression
0.303%
516K views on a typical post
Reach
8.65%
of its followers see a post
Typical post
1.6K
interactions (median)
Saved
0.069%
354 bookmarks on a typical post
Posting rate
0.1/day
active 10% of days
Peak time
02:00 UTC
Thursday

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 1.6K interactions against 6.0M followers, an engagement rate of 0.026%. Posts are seen about 516K times each, and 0.303% of those impressions turn into an interaction. That is about 8.66% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.1 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 02:00 UTC, and Thursday is the busiest day of the week. Of the 3 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 11K interactions, about 7.3x 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 0.026%, Andy Jassy sits above the 25th percentile of the 204,491 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,491 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 02:00 UTC, and Thursday 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: 02:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 02:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 link100% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 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.
  • 100% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 1012 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.

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

  • Jul 3, 20267.3x their median

    Project Hail Mary is now on Prime Video, free for Prime members everywhere. It’s my favorite movie that I've seen in a long time. Truly outstanding and unique. Phil Lord and Chris Miller pulled off something remarkable, Ryan Gosling is amazing, and none of this happens without Andy Weir’s compelling book. If you missed it in theaters, now's your chance. And, if you already saw it, it's an easy way to rewatch. Think you'll enjoy.

    9.3K1.2K8241121.4M viewsView on X
  • Dec 10, 20254.3x their median

    India's entrepreneurial energy continues to inspire. Excited to share we plan to invest an additional $35 billion in India through 2030 to help small and medium-sized businesses grow and thrive (announced at our sixth Amazon Smbhav Summit). This will bring AI benefits to 15 million businesses and 4 million students, quadruple “Made in India” exports to $80 billion, and support 3.8 million jobs by 2030. SMBs are driving India’s efforts to go digital, contributing to growing exports of local goods, and are creating lots of good jobs. Looking forward to empowering more SMBs to build new businesses and fuel innovation across India. https://t.co/LG0ag8nAVD

    5.7K63525784424K viewsView on X
  • Oct 29, 20258.4x their median

    About a year ago, this site near South Bend, Indiana was just cornfields. Today, it’s 1 of our U.S. data centers powering Project Rainier – one of the world’s largest AI compute clusters, built in collaboration with @AnthropicAI. It is 70% larger than any AI computing platform in #AWS history, with nearly 500K Trainium2 chips, and is now fully operational with Anthropic actively using it to train and run inference for its industry-leading AI model, Claude (providing 5X+ the compute they used to train their previous AI models). We expect Claude to be on more than 1 million Trainium2 chips by the end of year. Will help enable the next generation of AI innovation as we further extend our infrastructure leadership. https://t.co/LAkJ3ZYcky

    4.2K5857584181.6M viewsView on X
  • Feb 8, 20263.4x their median

    People ask me all the time about compelling use cases of AI. Here’s a good one. Millions of dogs go missing in the U.S. every year—and options for finding them are often painfully limited. Our Ring team saw an opportunity to use our community and technology to help, so they built Search Party. When a pet owner posts about a lost dog in the Ring app, nearby participating outdoor Ring cameras in the neighborhood begin looking for potential matches. If yours spots what might be the missing dog, it lets you know. You see the photo alongside footage from your camera, then can choose to share the video with the pet’s owner. The AI is trained on tens of thousands of dog videos so it can recognize different breeds, sizes, fur patterns, body features, unique marks, shape, and color. And privacy stays in your control—you decide each time whether to help. The impact is energizing. Search Party has helped bring home 99 dogs in just 90 days—more than a dog a day since launching three months ago. Ring customer Kylee was blown away by Search Party after her dog Nyx was found by a neighbor’s camera just 15 minutes after slipping through a tiny hole he’d dug under her backyard fence. When a Ring customer and military veteran named Kurt realized his service dog was missing after jumping his fence, he worried he might have lost her for good. He quickly initiated a Search Party in the Ring app asking neighbors to help locate her. Later that day, he got the notification he was hoping for…Lainey was found. Chris, a Ring camera owner, helped reunite another lost dog with its family after getting an app alert that said, “Your camera may have spotted a missing dog,” flagging footage he wouldn't have otherwise noticed. And the list of stories like these keeps growing. Now we’ve expanded this feature so that anyone in the U.S. can start a Search Party through the Ring app, even without a Ring camera (lost pets are one of the most common posts in the Ring Neighbors app—over 1M last year alone). With roughly 90 million dogs in the U.S., think this is gonna matter for a lot of families. Good example of real-world impact, and proud of what the Ring team has built here. https://t.co/Pr3jzP4o4o

    4.1K4904102411.3M viewsView on X
  • Nov 3, 202510x their median

    New multi-year, strategic partnership with @OpenAI will provide our industry-leading infrastructure for them to run and scale ChatGPT inference, training, and agentic AI workloads. Allows OpenAI to leverage our unusual experience running large-scale AI infrastructure securely, reliably, and at scale. OpenAI will start using AWS’s infrastructure immediately and we expect to have all of the capacity deployed before end of next year-- with the ability to expand in 2027 and beyond. https://t.co/l2xXvEEPn3

    4.1K5222761821.1M viewsView on X
  • Apr 27, 20262.5x their median

    Very interesting announcement from OpenAI this morning. We’re excited to make OpenAI's models available directly to customers on Bedrock in the coming weeks, alongside the upcoming Stateful Runtime Environment. With this, builders will have even more choice to pick the right model for the right job. More details at our AWS event in San Francisco tomorrow.

    3.3K309130109840K viewsView on X
  • Nov 24, 20252.4x their median

    Excited to share new @Amazonleo Ultra is fastest satellite internet antenna ever built, delivering simultaneous download speeds up to 1 Gbps and upload speeds up to 400 Mbps, all powered by custom Leo silicon. Plus some more details on our network, which will offer enterprise-grade performance and advanced encryption, with secure private networking that bypasses public internet—connecting directly to AWS and other cloud and on-premise networks. Combo will be extremely valuable for the millions of enterprises, government agencies, and organizations operating in places without reliable connectivity. Team is also kicking off our enterprise preview with select customers using production hardware and software to gather feedback and tailor solutions ahead of next year's commercial launch. Lots of encouraging progress to bring connectivity to customers and partners who need it most. https://t.co/LDY00ZRYGN

    3.1K36316299413K viewsView on X
  • Feb 27, 20262.1x their median

    Excited about our new strategic partnership with @OpenAI. Developers and companies of all kinds are eager to run services powered by OpenAI models on AWS, and our unique collaboration will provide a stateful runtime environment for them that’s powered by OpenAI’s frontier intelligence on Amazon Bedrock. OpenAI is also going big on our custom Trainium chips, which are 30-40% more price performant than comparable GPUs, to power their growth. Both the leading AI labs now have made significant commitments to Trainium, which is gaining a lot of momentum. We’ll be the exclusive 3P cloud distribution provider for OpenAI Frontier (which enables organizations to build, deploy, and manage teams of AI agents). And finally, we’re excited about our investment in OpenAI — it’s an extremely talented team with great products, IP, and vision for how they can continue to serve customers and enterprises. We think they’ll be one of the big winners in AI, we can help them grow, and we believe we’ll earn a strong return for Amazon over the long term. https://t.co/aDJ8On5iQQ

    2.6K310182112541K viewsView on X
  • Nov 6, 20252.1x their median

    Every cloud provider faces the same AI infrastructure challenge: chips need to be positioned close together to exchange data quickly, but they generate intense heat, creating unprecedented cooling demands. We needed a strategic solution that allowed us to use our existing air-cooled data centers to do liquid cooling without waiting for new construction. And it needed to be rapidly deployed so we could bring customers these powerful AI capabilities while we transition towards facility-level liquid cooling. Think of a home where only one sunny room needs AC, while the rest stays naturally cool – that’s what we wanted to achieve, allowing us to efficiently land both liquid and air-cooled racks in the same facilities with complete flexibility. The available options weren't great. Either we could wait to build specialized liquid-cooled facilities or adopt off-the-shelf solutions that didn't scale or meet our unique needs. Neither worked for our customers, so we did what we often do at Amazon… we invented our own solution. Our teams designed and delivered our In-Row Heat Exchanger (IRHX), which uses a direct-to-chip approach with a "cold plate" on the chips. The liquid runs through this sealed plate in a closed loop, continuously removing heat without increasing water use. This enables us to support traditional workloads and demanding AI applications in the same facilities. By 2026, our liquid-cooled capacity will grow to over 20% of our ML capacity, which is at multi-gigawatt scale today. While liquid cooling technology itself isn't unique, our approach was. Creating something this effective that could be deployed across our 120 Availability Zones in 38 Regions was significant. Because this solution didn't exist in the market, we developed a system that enables greater liquid cooling capacity with a smaller physical footprint, while maintaining flexibility and efficiency. Our IRHX can support a wide range of racks requiring liquid cooling, uses 9% less water than fully-air cooled sites, and offers a 20% improvement in power efficiency compared to off-the-shelf solutions. And because we invented it in-house, we can deploy it within months in any of our data centers, creating a flexible foundation to serve our customers for decades to come. Reimagining and innovating at scale has been something Amazon has done for a long time and one of the reasons we’ve been the leader in technology infrastructure and data center invention, sustainability, and resilience. We're not done… there's still so much more to invent for customers.

    2.4K24510652339K viewsView on X
  • Jun 25, 20261.6x their median

    Really enjoyed my meeting with Prime Minister @narendramodi about what’s ahead for Amazon in India. We’ve been serving customers, sellers, developers, startups, and enterprises in India for more than a decade and just getting started. Shared that we’re investing $48 billion over the coming five years, including $21+ billion in AI and cloud infrastructure. By 2030, we plan to support 3.8 million jobs, enable $80 billion in ecomm exports, and bring benefits of AI to 15 million small businesses and 4 million government school students. Excited about what’s ahead. Still early days for what we can build. https://t.co/sxkRka2Qng

    2.0K33716057645K 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 1.6K interactions against 6.0M followers, an engagement rate of 0.026%. Posts are seen about 516K times each, and 0.303% of those impressions turn into an interaction. That is about 8.66% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.1 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 02:00 UTC, and Thursday is the busiest day of the week. Of the 3 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 11K interactions, about 7.3x 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 Andy Jassy's engagement rate on X?
Andy Jassy (@ajassy) has an engagement rate of 0.026%, based on the median interactions across 3 original posts from the last 30 days against 5,960,919 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.026%, Andy Jassy sits above the 25th percentile of the 204,491 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 @ajassy have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @ajassy post?
Most posts go out around 02:00 UTC, and Thursday is its busiest day, at roughly 0.1 posts per day across the measured window.

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