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Jukan engagement report

@jukan05 - 218K followers on X

Measured over 65 original posts from a 30-day window, last computed on October 5, 2026.

Engagement

Middle of its size range
Per follower
0.201%
of 218K followers
Per impression
0.586%
74K views on a typical post
Reach
34.3%
of its followers see a post
Typical post
432
interactions (median)
Saved
0.069%
51 bookmarks on a typical post
Posting rate
4.33/day
active 43% of days
Peak time
06:00 UTC
Tuesday

A typical post picks up 432 interactions against 218K followers, an engagement rate of 0.201%. Measured over 65 original posts, its engagement rate beats 71% of 20,444 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 74K times each, and 0.586% of those impressions turn into an interaction. That is about 33.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.3 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 06:00 UTC, and Tuesday is the busiest day of the week. Of the 65 posts sampled, 38% carry an image or video, 31% are part of a thread and 18% link out. The account's strongest tracked post pulled 1.6K interactions, about 3.7x its own typical post.

Measured over 65 original posts from a 30-day window, last computed on October 5, 2026.

Compared with accounts its own size

Jukan's engagement rate beats 71% of the tracked X accounts closest to it in follower count (20,444 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 29% 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 0.201%, Jukan sits above the 50th percentile of the 205,374 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,374 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,897 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 percentile0.678%
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 06:00 UTC, and Tuesday 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: 06:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 06:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video38% of posts+111%+108% to +115%34K
Outbound link18% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 38% 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.
  • 18% 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 742 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

  • Oct 1, 20263.7x their median

    The most valuable comment from the Micron call is probably that they expect supply in 2028 to be even tighter than in 2026. Some Anal-ysts are claiming there will be oversupply in 2028. That's absurd. What this comment tells us is that a substantial portion of 2028 volume is already contracted. Enough LTAs have been signed that 2028 is now within visibility. Why are memory stocks trading at such low P/E multiples right now? Obviously, because everyone believes this boom will be short lived. Still, let's think about it one more time. We don't know about 2029 or 2030, but can't we at least treat demand through 2028 as certain? If demand is locked in through 2028, I think the P/E multiple should at the very least be higher than it is now.

    1.4K1218719225K viewsView on X
  • Sep 8, 20263.4x their median

    "Three out of four are defective"... China's CXMT struggles with HBM yields, with immature TSV technology to blame ChangXin Memory Technologies (CXMT), China's largest DRAM maker, has begun trial production of fourth generation high bandwidth memory (HBM3), but initial yields are barely improving. Yields are reported to have stalled at 25%, roughly one third of the so called "golden yield" of 80% that the semiconductor industry treats as the threshold for volume production. The gap is stark compared with SK hynix, which has been mass producing the same product since 2022 and has secured yields above 90%. Industry sources point to the gap in maturity of through-silicon via (TSV) technology, the core process for stacking and connecting multiple DRAM layers, as the root cause. ◇ "DRAM has caught up, but HBM stacking is a different problem" According to a senior official at a semiconductor equipment company familiar with CXMT's situation on the 9th, the yield of CXMT's HBM3 8-High product is stuck at around 30% in the front end process. Of the products that survive that stage, only about 70% are recognized as final good units after passing through the back end process. In simple terms, if 100 HBM3 units are started, close to 80 of them fail the final test. CXMT is reported to be supplying the small volumes of HBM samples it produces this way to Chinese companies such as Alibaba's T-Head and Cambricon while continuing its yield improvement work. The problem is that the issue does not lie in the fine process technology of the DRAM itself. A semiconductor equipment industry official explained, "There is no major problem with the standard DRAM that CXMT makes on its 'G4' (17nm class) process used for HBM. However, the DRAM dies used for HBM are larger in area than standard products and have more demanding electrical specifications, so even on the same process they are much harder to pass the acceptance criteria." In other words, CXMT's fundamental capability in making standard DRAM has risen to a considerable level, but a bottleneck is emerging at the stage of converting it into the high performance product that is HBM. At the heart of that bottleneck, according to industry sources, is the TSV process. ◇ The real hurdle is TSV... "Impossible to catch up without years of accumulated know how" TSV stands for "Through Silicon Via" and refers to the microscopic copper wiring that passes vertically through each layer to carry electrical signals when DRAM is stacked in multiple layers, as in HBM. It is a highly demanding process in which a DRAM wafer is thinned down to several tens of micrometers, a fraction of the thickness of a human hair, after which thousands of tiny holes are drilled through that thin silicon plate and filled completely with copper. A single hole that is misaligned or not properly filled can cause the entire layer to be rejected, making it one of the semiconductor processes with the most stringent precision requirements. The consensus in the industry is that this is the process where the technology gap between CXMT and the leading companies is widest. According to analysis by semiconductor research firm Nomad Semi, Samsung Electronics' HBM2 (second generation HBM) has more than 5,000 TSVs per die and SK hynix's HBM3 has more than 8,000, while CXMT's is understood to have only around 3,000. A smaller number of TSVs means sacrificing bandwidth (data processing speed) in exchange for lower process difficulty, yet even so CXMT's yields still fall far short of Samsung and SK hynix. TSV is a process that is challenging even for the industry leader: SK hynix itself publicly disclosed in 2024 that the yield of the standalone TSV process was only 40 to 60% at the time. On top of this, yield losses also occur in the back end (stacking and bonding) stage where the dies are actually stacked and joined. If even one of the eight dies is misaligned, if a microscopic void forms at a bonding interface, or if a layer warps during the thermocompression bonding process (warpage), the entire stack is scrapped. Because the number of possible failure points grows with each additional layer, the difficulty rises exponentially. Given that CXMT is already showing such poor yields at 8-High, some expect it to face even greater difficulties when moving to higher stacks such as 12-High. A semiconductor industry official explained, "The TSV process is an area that only stabilizes after years of accumulated wafer handling know how. Chinese companies have rapidly closed the gap in the fine process technology of DRAM itself, but back end know how such as TSV and bonding is difficult to catch up on in a short period." He added, "That said, Samsung Electronics also had initial HBM4 (sixth generation HBM) production yields below 60% in February this year and raised them to 80% within six months, so it is too early to declare CXMT's 25% yield a 'failure.'"

    1.1K20541105779K viewsView on X
  • Oct 3, 20263.3x their median

    Getting ready for GTA 6… https://t.co/dUz9rM2x7l

    1.3K2845679K viewsView on X
  • Oct 1, 20262.9x their median

    FT: Oracle signs $7 billion deal to lease computing capacity to Tencent. https://t.co/j3IrroDUSd

    1.0K1103748227K viewsView on X
  • Oct 4, 20262.8x their median

    Honestly I think just picking up on the mood among institutional investors can give you a real edge. For example I attended an investment conference when I was in New York this year and Samsung Life Insurance was named there as an undervalued stock. Just a few days later foreign institutions bought Samsung Life in size. If you had been at that conference you could have made a decent return. Want another example? I'm in TMT BreakOut, a Substack Slack with a lot of institutional investors. Just from the chat there I can get hints about where institutions are focused right now. A few weeks ago someone posted "Why is everyone suddenly going long NVDA?" Now NVDA is at an ATH. I think there's a lot of value in retail being able to pick up on this kind of sentiment. *I received no compensation of any kind for writing this post.

    1.1K414810135K viewsView on X
  • Sep 10, 20262.5x their median

    https://t.co/8WhlMSIJUS DeepSeek V4.1 Flash 为 552B 参数的 MoE 模型,采用了全新的 Causal-Encoder-Decoder 结构,输入和输出不对称,输入激活只有 8B,输出激活 16B,成本显著低于已知的同尺寸模型。同时,V4.1 Flash 还采用了新的预训练方式、经过了更大规模的强化学习后训练,在基准测试中,成功超越了包括 DeepSeek V4 Pro 在内的一众旗舰模型的智能水平。

    8408110744521K viewsView on X
  • Sep 29, 20262.5x their median

    I remain bullish on CPUs over the long term. When I first saw AMD's 2027 Venice booking numbers, I wondered whether they were even realistic, and whether this would end up like last year, with overbooking followed by cuts. But after asking several people in the industry, I was told AMD is already selling 2028 volume. The yield issues also don't seem nearly as serious as early reports suggested.

    987442510105K viewsView on X
  • Sep 9, 20262.2x their median

    * Kioxia CEO dismisses the possibility of closer cooperation with SK hynix * Kioxia aims to hold NAND prices steady to sustain AI demand * Kioxia CEO says he instructed employees not to raise memory prices sharply WTF?

    793565256321K viewsView on X
  • Oct 2, 20262.1x their median

    KOREAN LOCAL MEDIA: SAMSUNG IS QUOTING A PRICE IN THE MID-TO-HIGH $4 RANGE PER GIGABIT IN ONGOING HBM4 PRICE NEGOTIATIONS WITH MAJOR CUSTOMERS. KOREAN LOCAL MEDIA: THIS IS MORE THAN THREE TIMES THE $1.50 PER GIGABIT PRICE OF HBM3E, THE CURRENT MAINSTREAM PRODUCT. $DRAM

    810672714127K viewsView on X
  • Sep 30, 20262.1x their median

    Muse has already reached 5 million users... https://t.co/LvQneM0J82

    81055371694K 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 432 interactions against 218K followers, an engagement rate of 0.201%. Measured over 65 original posts, its engagement rate beats 71% of 20,444 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 74K times each, and 0.586% of those impressions turn into an interaction. That is about 33.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.3 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 06:00 UTC, and Tuesday is the busiest day of the week. Of the 65 posts sampled, 38% carry an image or video, 31% are part of a thread and 18% link out. The account's strongest tracked post pulled 1.6K interactions, about 3.7x its own typical post.

What is Jukan's engagement rate on X?
Jukan (@jukan05) has an engagement rate of 0.201%, based on the median interactions across 65 original posts from the last 30 days against 218,166 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.201%, Jukan sits above the 50th percentile of the 205,374 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 @jukan05 have real engagement?
Its engagement rate beats 71% of the tracked X accounts closest to it in follower count (20,444 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 @jukan05 post?
Most posts go out around 06:00 UTC, and Tuesday is its busiest day, at roughly 4.33 posts per day across the measured window.

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