Andy Jassy engagement report
@ajassy - 5.4M followers on X
Measured over 1 original post from a 30-day window, last computed on August 31, 2026.
Engagement
Early reading. We have captured 1 original post 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 461 interactions against 5.4M followers, an engagement rate of 0.009%. Measured over 1 original post, its engagement rate beats 67% of tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 193K times each, and 0.239% of those impressions turn into an interaction. That is about 3.59% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.03 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 14:00 UTC, and Saturday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 12K interactions, about 26x its own typical post. Only 1 original post 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 1 original post from a 30-day window, last computed on August 31, 2026.
Compared with accounts its own size
Andy Jassy's engagement rate beats 67% of the tracked X accounts closest to it in follower count. A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.
Where this sits in the catalog
At 0.009%, Andy Jassy sits above the 10th percentile of the 36,654 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.08% |
| 75th percentile | 0.433% |
| 90th percentile | 2.10% |
| 99th percentile | 160.5% |
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 14:00 UTC, and Saturday 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 51K |
| 01:00 UTC | -2% | 52K |
| 02:00 UTC | -3% | 50K |
| 03:00 UTC | -4% | 53K |
| 04:00 UTC | -6% | 43K |
| 05:00 UTC | -4% | 42K |
| 06:00 UTC | -4% | 48K |
| 07:00 UTC | -5% | 52K |
| 08:00 UTC | -4% | 61K |
| 09:00 UTC | -3% | 70K |
| 10:00 UTC | -2% | 72K |
| 11:00 UTC | -3% | 78K |
| 12:00 UTC | -2% | 86K |
| 13:00 UTC | -2% | 94K |
| 14:00 UTC | -4% | 97K |
| 15:00 UTC | -2% | 101K |
| 16:00 UTC | -3% | 98K |
| 17:00 UTC | -2% | 91K |
| 18:00 UTC | -1% | 85K |
| 19:00 UTC | -1% | 80K |
| 20:00 UTC | -1% | 74K |
| 21:00 UTC | -1% | 66K |
| 22:00 UTC | -1% | 57K |
| 23:00 UTC | -2% | 52K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +4% | 231K |
| Monday | 0% | 288K |
| Tuesday | -2% | 278K |
| Wednesday | -1% | 251K |
| Thursday | -1% | 245K |
| Friday | -3% | 253K |
| Saturday | +3% | 227K |
Best tweets
- Jul 3, 202626x 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.
- Dec 10, 202515x 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
- Oct 29, 202513x 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
- Feb 8, 202611x 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
- Nov 3, 202511x 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
- Apr 27, 20268.5x 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.
- Nov 24, 20258.0x 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
- Feb 27, 20267.1x 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
- Nov 6, 20256.1x 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.
- Apr 24, 20265.4x their median
Another exciting development in our chips business as Meta has decided to bet big on Graviton, our leading CPU chip—committing to tens of millions of Graviton cores. Agentic AI is becoming almost as big a CPU story as a GPU story. Complex multi-step orchestration, real-time reasoning, and code generation at scale is CPU-intensive work. And, our purpose-built Graviton5 instances deliver up to 33% lower latency between cores, which matters a lot for these kinds of workloads. Meta has been a longtime AWS customer and one of our biggest users of Bedrock... looking forward to what they build with Graviton5. https://t.co/1YSQBuUgSy
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 461 interactions against 5.4M followers, an engagement rate of 0.009%. Measured over 1 original post, its engagement rate beats 67% of tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 193K times each, and 0.239% of those impressions turn into an interaction. That is about 3.59% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.03 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 14:00 UTC, and Saturday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 12K interactions, about 26x its own typical post. Only 1 original post 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 0.009%, based on the median interactions across 1 original posts from the last 30 days against 5,369,539 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.009%, Andy Jassy sits above the 10th percentile of the 36,654 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?
- Its engagement rate beats 67% of the tracked X accounts closest to it in follower count, which puts it in the middle of its size range group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
- When does @ajassy post?
- Most posts go out around 14:00 UTC, and Saturday is its busiest day, at roughly 0.03 posts per day across the measured window.