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AMD engagement report

@AMD - 1.3M followers on X

Measured over 54 original posts from a 30-day window, last computed on September 2, 2026.

Engagement

Middle of its size range
Per follower
0.013%
of 1.3M followers
Per impression
0.437%
37K views on a typical post
Reach
2.86%
of its followers see a post
Typical post
160
interactions (median)
Saved
0.022%
8 bookmarks on a typical post
Posting rate
2.03/day
active 87% of days
Peak time
14:00 UTC
Monday

A typical post picks up 160 interactions against 1.3M followers, an engagement rate of 0.013%. Measured over 54 original posts, its engagement rate beats 37% of 4,067 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 37K times each, and 0.437% of those impressions turn into an interaction. That is about 2.86% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 54 posts sampled, 81% carry an image or video and 59% link out. The account's strongest tracked post pulled 4.1K interactions, about 26x its own typical post. Recurring topics include #advancingai, #iykyk, #amdevs.

Measured over 54 original posts from a 30-day window, last computed on September 2, 2026. Recurring tags: #advancingai, #iykyk, #amdevs.

Compared with accounts its own size

AMD's engagement rate beats 37% of the tracked X accounts closest to it in follower count (4,067 accounts, accounts of similar size (decile 9 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 30% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.013%, AMD sits above the 10th percentile of the 39,368 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.013%.

p100.002%
p250.013%
p50 (median)0.082%
p750.442%
p902.09%
p99152.1%
Engagement rate as a share of followers, across the 39,368 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 95,038 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 percentile0.002%
25th percentile0.013%
50th percentile0.082%
75th percentile0.442%
90th percentile2.09%
99th percentile152.1%

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 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 14:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%55K
01:00 UTC-2%56K
02:00 UTC-4%54K
03:00 UTC-4%58K
04:00 UTC-6%47K
05:00 UTC-4%45K
06:00 UTC-5%52K
07:00 UTC-5%56K
08:00 UTC-4%66K
09:00 UTC-4%76K
10:00 UTC-3%78K
11:00 UTC-3%85K
12:00 UTC-2%94K
13:00 UTC-3%102K
14:00 UTC-3%105K
15:00 UTC-1%109K
16:00 UTC-3%106K
17:00 UTC-2%98K
18:00 UTC-1%92K
19:00 UTC-2%87K
20:00 UTC-1%81K
21:00 UTC-1%72K
22:00 UTC-2%62K
23:00 UTC-2%56K
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 5%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%245K
Monday+1%313K
Tuesday-3%327K
Wednesday-3%275K
Thursday-2%256K
Friday-3%266K
Saturday+3%240K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Jul 26, 202626x their median

    Open has always been at the heart of how we build at AMD. Thatโ€™s why weโ€™re joining @Microsoft and others in signing an open letter supporting open-weight AI models. A strong AI ecosystem depends on open standards, interoperability and choice across software, systems and hardware: https://t.co/EQLkyh9lHZ.

    3.7K2778756216K viewsView on X
  • Aug 6, 202610x their median

    We're excited to announce our planned acquisition of @taalas_inc, bringing differentiated AI inference technology and world-class engineering expertise to AMD. Together, we'll strengthen our AI roadmap and deliver faster, more efficient AI solutions across a growing range of inference workloads. More on the news: https://t.co/2zA0wGL95P

    1.3K1636798385K viewsView on X
  • Aug 20, 20264.7x their median

    A major milestone for the Genesis Mission. New photos of the fully installed Lux supercomputer at @ORNL. ๐Ÿ“ธ Built with AMD technology by @HPE for the U.S. Department of @ENERGY, Lux represents the next generation of advanced HPC infrastructure, demonstrating how open technology can help advance U.S. AI leadership and accelerate breakthroughs in energy research, materials science, medicine, and advanced manufacturing.

    6348524644K viewsView on X
  • Aug 8, 20264.0x their median

    Nearly 9x the competition. Native FP64 performance continues to play a key role in HPC and @Alex_Woodie from @HPCwire highlights the AMD Instinct MI430X GPU and its focus on advancing native FP64 performance for modeling and simulation workloads. Read more: https://t.co/eJ7kpaouB9

    5684121759K viewsView on X
  • Jul 27, 20263.7x their median

    <์ƒŒํ”„๋ž€์‹œ์Šค์ฝ”์—์„œ ์ด์–ด์ง„ AI ์—ฐ๊ฒฐ> ์ง€๋‚œ ๋ชฉ์š”์ผ ์˜ค์ „์—๋Š” ํ•œ๊ตญ์—์„œ ํ†ต์‹ 3์‚ฌ CEO๋“ค๊ณผ AI ์‹œ๋Œ€ ๋Œ€ํ•œ๋ฏผ๊ตญ์˜ ๋„คํŠธ์›Œํฌ ์ „๋žต์„ ๋…ผ์˜ํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ๊ณง๋ฐ”๋กœ ์ƒŒํ”„๋ž€์‹œ์Šค์ฝ”๋กœ ์ด๋™ํ•ด ๊ฐ™์€ ๋‚  ์˜คํ›„ AMD Advancing AI ํ–‰์‚ฌ์—์„œ AMD์™€ AI ๋ฐ˜๋„์ฒด ์ƒํƒœ๊ณ„ ํ˜‘๋ ฅ์„ ์œ„ํ•œ MOU๋ฅผ ์ฒด๊ฒฐํ•˜๊ณ , ๋ฆฌ์‚ฌ ์ˆ˜(Lisa Su) CEO์™€ AI ๋ฐ˜๋„์ฒด ํ˜‘๋ ฅ ๋ฐฉ์•ˆ์„ ๋…ผ์˜ํ–ˆ์Šต๋‹ˆ๋‹ค. ์‹œ์ฐจ๋ฅผ ๋„˜์–ด ๊ฐ™์€ ๋ชฉ์š”์ผ์„ ๋‘ ๋ฒˆ ๋ณด๋ƒˆ์ง€๋งŒ, ์ œ๊ฒŒ๋Š” ํ•˜๋‚˜์˜ ์ผ์ •์ฒ˜๋Ÿผ ์ด์–ด์กŒ์Šต๋‹ˆ๋‹ค. ํ•œ๊ตญ์—์„œ๋Š” AI๊ฐ€ ํ๋ฅด๋Š” ๊ธธ์„ ์ด์•ผ๊ธฐํ–ˆ๊ณ , ์ƒŒํ”„๋ž€์‹œ์Šค์ฝ”์—์„œ๋Š” AI๋ฅผ ์›€์ง์ด๋Š” ์—”์ง„์„ ์ด์•ผ๊ธฐํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ฒฐ๊ตญ AI๋Š” ํ•˜๋‚˜์˜ ๊ธฐ์ˆ ์ด ์•„๋‹ˆ๋ผ ๋ฐ˜๋„์ฒด์™€ ๋ฐ์ดํ„ฐ์„ผํ„ฐ, ๋„คํŠธ์›Œํฌ, ์†Œํ”„ํŠธ์›จ์–ด๊ฐ€ ํ•จ๊ป˜ ์›€์ง์ด๋Š” ์ƒํƒœ๊ณ„์ž…๋‹ˆ๋‹ค. ์ด๋ฒˆ MOU์˜ ์˜๋ฏธ๋Š” AMD์™€ AI ์ปดํ“จํŒ… ๊ธฐ์ˆ  ํ˜‘๋ ฅ์„ ํ™•๋Œ€ํ•˜๋Š” ๊ฒƒ์€ ๋ฌผ๋ก , ๊ตญ๋‚ด NPU ๊ธฐ์—…๋“ค์ด AMD์˜ ๊ธ€๋กœ๋ฒŒ AI ์ƒํƒœ๊ณ„์— ์ฐธ์—ฌํ•  ์ˆ˜ ์žˆ๋Š” ๊ธฐ๋ฐ˜์„ ํ•จ๊ป˜ ๋งŒ๋“ค๊ธฐ๋กœ ํ•œ ๊ฒƒ์ž…๋‹ˆ๋‹ค. ๋˜ํ•œ ๋ชจ๋ ˆ, ๋ง๊ณ ๋ถ€์ŠคํŠธ๋ฅผ ๋น„๋กฏํ•œ ๊ตญ๋‚ด AI ๊ธฐ์—…๋“ค๊ณผ์˜ ํ˜‘๋ ฅ๋„ ํ™•๋Œ€ํ•˜์—ฌ ์šฐ๋ฆฌ ์†Œํ”„ํŠธ์›จ์–ด์™€ ์‹œ์Šคํ…œ ๊ธฐ์ˆ ์ด ๊ธ€๋กœ๋ฒŒ ์‹œ์žฅ์œผ๋กœ ์ง„์ถœํ•  ์ˆ˜ ์žˆ๋Š” ๊ธธ์„ ๋„“ํ˜€๊ฐ€๊ธฐ๋กœ ํ–ˆ์Šต๋‹ˆ๋‹ค. AI ์‹œ๋Œ€์—๋Š” ์–ด๋А ํ•œ ๊ธฐ์—…๋„, ์–ด๋А ํ•œ ๋‚˜๋ผ๋„ ํ˜ผ์ž์„œ๋Š” ์„ฑ๊ณตํ•  ์ˆ˜ ์—†๋‹ค๊ณ  ๋ด…๋‹ˆ๋‹ค. ์ค‘์š”ํ•œ ๊ฒƒ์€ ๊ธ€๋กœ๋ฒŒ ๊ธฐ์ˆ ๊ณผ ๊ตญ๋‚ด ๊ธฐ์—…์„ ์—ฐ๊ฒฐํ•˜๊ณ , ๊ทธ ์—ฐ๊ฒฐ์ด ์ƒˆ๋กœ์šด ์‚ฐ์—…๊ณผ ์„ฑ์žฅ์œผ๋กœ ์ด์–ด์ง€๋Š” AI ์ƒํƒœ๊ณ„๋ฅผ ๋งŒ๋“œ๋Š” ๊ฒƒ์ด๋ผ ์ƒ๊ฐํ•ฉ๋‹ˆ๋‹ค. ๋Œ€ํ•œ๋ฏผ๊ตญ์€ ์„ธ๊ณ„ ์ตœ๊ณ  ์ˆ˜์ค€์˜ ๋ฉ”๋ชจ๋ฆฌ ๋ฐ˜๋„์ฒด ๊ฒฝ์Ÿ๋ ฅ์„ ๊ฐ–๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด์ œ๋Š” ์—ฌ๊ธฐ์— ๊ตญ์‚ฐ NPU์™€ AI ์†Œํ”„ํŠธ์›จ์–ด, ์‹œ์Šคํ…œ ๊ธฐ์ˆ ๊นŒ์ง€ ์—ฐ๊ฒฐํ•ด AI ๋ฐ˜๋„์ฒด ์ƒํƒœ๊ณ„๋ฅผ ์„ ๋„ํ•˜๋Š” ๋‚˜๋ผ๋กœ ๋„์•ฝํ•˜๊ณ ์ž ํ•ฉ๋‹ˆ๋‹ค. ์ •๋ถ€๋Š” ๊ธ€๋กœ๋ฒŒ ์„ ๋„๊ธฐ์—…๊ณผ์˜ ํ˜‘๋ ฅ์ด ๊ตญ๋‚ด ๊ธฐ์—…์˜ ์„ฑ์žฅ์œผ๋กœ ์ด์–ด์ง€๋Š” ์„ ์ˆœํ™˜ ๊ตฌ์กฐ๋ฅผ ๋งŒ๋“ค๊ฒ ์Šต๋‹ˆ๋‹ค. ์ง€๋‚œ ๋ชฉ์š”์ผ ์˜ค์ „์—๋Š” ๋„คํŠธ์›Œํฌ๋ฅผ ์—ฐ๊ฒฐํ–ˆ๊ณ , ์˜คํ›„์—๋Š” ๋ฐ˜๋„์ฒด๋ฅผ ์—ฐ๊ฒฐํ–ˆ์Šต๋‹ˆ๋‹ค. ๋‹ค์Œ ๋‚  ์—ด๋ฆฐ ์ƒŒํ”„๋ž€์‹œ์Šค์ฝ” AI ์„œ๋ฐ‹์—์„œ๋Š” ์„ธ๊ณ„์™€ ๋Œ€ํ•œ๋ฏผ๊ตญ AI ๊ธฐ์—…์ด ํ•œ์ž๋ฆฌ์— ๋ชจ์˜€์Šต๋‹ˆ๋‹ค. ์ด์ œ ๊ทธ ์—ฐ๊ฒฐ์ด ์‹ค์ œ ๊ธฐ์ˆ  ํ˜‘๋ ฅ๊ณผ ํˆฌ์ž, ๊ทธ๋ฆฌ๊ณ  ๊ตญ๋‚ด ๊ธฐ์—…์˜ ์„ฑ์žฅ์œผ๋กœ ์ด์–ด์งˆ ์ˆ˜ ์žˆ๋„๋ก ๋๊นŒ์ง€ ์ฑ™๊ธฐ๊ฒ ์Šต๋‹ˆ๋‹ค. #AMD #AdvancingAI #LisaSu #AI๋ฐ˜๋„์ฒด #NPU #GPU #๋ชจ๋ ˆ #๋ง๊ณ ๋ถ€์ŠคํŠธ #AI์ƒํƒœ๊ณ„ #๋Œ€ํ•œ๋ฏผ๊ตญAI

    4729813671K viewsView on X
  • Aug 15, 20263.3x their median

    The next frontier for AI is physical ๐Ÿฆพ @ServeTheHome details AMD Ryzen AI Embedded X100 Series processors and Kria AI platforms, bringing high-performance x86 compute and unified AI acceleration to physical AI systems. https://t.co/81AUIvBTKj

    4435923859K viewsView on X
  • Aug 20, 20263.3x their median

    Physical AI wonโ€™t be won by a single accelerator, or a closed stack. @Waymoโ€™s next-gen embedded compute architecture shows why autonomous driving demands responsive and redundant systems. AMD brings the open compute portfolio to help power whatโ€™s next: https://t.co/y5oiDTGbgy https://t.co/y406c7MRBC

    4625011442K viewsView on X
  • Aug 10, 20263.3x their median

    Build with Meta's new open-weight model on AMD. AMD is enabling day-zero support for Muse Glimmer, the new open-weight model from Meta Superintelligence Labs on AMD Ryzenโ„ข AI Max+ systems and Radeonโ„ข AI PRO R9700 GPUs. With @lmstudio making local AI accessible and Lemonade helping integrate AI into applications, developers can turn powerful local AI models into practical agentic applications. Run @AiatMeta's Muse Glimmer locally on AMD: https://t.co/n7jBJJrSwM

    43458221052K viewsView on X
  • Aug 14, 20263.2x their median

    One CPU doesn't fit every AI workload. Hear why agentic AI is creating new roles for CPUs across the data center. https://t.co/uo3DvdP5Y1

    4534515245K viewsView on X
  • Aug 27, 20263.2x their median

    Meet ROCm 10. Here are 10 things #AMDevs need to know. 1๏ธโƒฃ ROCm 10 brings AI-driven development to AMD platforms 2๏ธโƒฃ ๏ธhttps://t.co/qLPOj1RZsV is the AI-native software experience on AMD hardware 3๏ธโƒฃ https://t.co/qLPOj1RZsV delivers 3.3x inference & 2.4x training improvement vs. ROCm 7 on the same hardware 4๏ธโƒฃ ROCm Core SDK is open-source and optimized for AI workloads so you can customize the stack for your workload needs 5๏ธโƒฃ ROCm 10 ships production-ready support for @vllm_project and @sgl_project 6๏ธโƒฃ ROCm Hyperloom optimizes end-to-end inference 7๏ธโƒฃ Run ROCm Hyperloom standalone or through AMD Skills 8๏ธโƒฃ AMD Skills provide software and hardware expertise for your coding assistants 9๏ธโƒฃ AMD Skills support the coding assistants you already use ๐Ÿ”Ÿ 10 years. And we're just getting started! Introducing the AI-native evolution of the developer platform for AMD hardware: https://t.co/JbaR0F2u2d

    37179322370K 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.

Recurring topics

#advancingai#iykyk#amdevs

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

Buy or sell X accounts - escrow-protected

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Reading these numbers

A typical post picks up 160 interactions against 1.3M followers, an engagement rate of 0.013%. Measured over 54 original posts, its engagement rate beats 37% of 4,067 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 37K times each, and 0.437% of those impressions turn into an interaction. That is about 2.86% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 54 posts sampled, 81% carry an image or video and 59% link out. The account's strongest tracked post pulled 4.1K interactions, about 26x its own typical post. Recurring topics include #advancingai, #iykyk, #amdevs.

What is AMD's engagement rate on X?
AMD (@AMD) has an engagement rate of 0.013%, based on the median interactions across 54 original posts from the last 30 days against 1,283,629 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.013%, AMD sits above the 10th percentile of the 39,368 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 @AMD have real engagement?
Its engagement rate beats 37% of the tracked X accounts closest to it in follower count (4,067 accounts), 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 @AMD post?
Most posts go out around 14:00 UTC, and Monday is its busiest day, at roughly 2.03 posts per day across the measured window.

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