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akiyan engagement report

@akiyan - 91K followers on X

Measured over 38 original posts from a 30-day window, last computed on September 21, 2026.

Engagement

Bottom 10% for its size
Per follower
0.003%
of 91K followers
Per impression
0.162%
1.9K views on a typical post
Reach
2.02%
of its followers see a post
Typical post
3
interactions (median)
Saved
0.081%
2 bookmarks on a typical post
Posting rate
2.2/day
active 70% of days
Peak time
00:00 UTC
Wednesday

A typical post picks up 3 interactions against 91K followers, an engagement rate of 0.003%. Measured over 38 original posts, its engagement rate beats 9% of 19,933 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 1.9K times each, and 0.162% of those impressions turn into an interaction. That is about 2.03% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 00:00 UTC, and Wednesday is the busiest day of the week. Of the 38 posts sampled, 13% carry an image or video, 8% are part of a thread and 16% link out. The account's strongest tracked post pulled 70K interactions, about 23239x its own typical post. Recurring topics include #comfyui, #dgxspark.

Measured over 38 original posts from a 30-day window, last computed on September 21, 2026. Recurring tags: #comfyui, #dgxspark.

Compared with accounts its own size

akiyan's engagement rate beats 9% of the tracked X accounts closest to it in follower count (19,933 accounts, accounts of similar size (decile 7 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 8% 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 0.003%, akiyan sits below the 10th percentile of the 201,005 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.141%
p750.671%
p902.53%
p9982.4%
Engagement rate as a share of followers, across the 201,005 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,901 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 percentile0.141%
75th percentile0.671%
90th percentile2.53%
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 00:00 UTC, and Wednesday 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: 00:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 00:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video13% of posts+111%+108% to +115%34K
Outbound link16% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 13% 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.
  • 16% 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 137 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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

  • Aug 14, 202623239x their median

    AIで作ったの隠す気ゼロなサービスエリアの 激キショみそカツ見て https://t.co/gDazTjFdVQ

    62K5.6K1592.1K14M viewsView on X
  • Sep 11, 20263772x their median

    ただ逆の経験もあって、文化祭で図書館やろう!みんなで本を作って展示しましょうって話がまとまりかけた時に体育会系の人が無茶苦茶抵抗してきて、「出来じゃなくて残る物が価値になるんだ」「上手い下手は関係ないんだ」って説得しても嫌がってとうとう泣き出して、意外なものをみた気分になりました

    10K83414891.1M viewsView on X
  • Sep 6, 20261343x their median

    ファミコン版ドラクエ3の街人たちのメッセージは、圧縮したデータでメモリーに格納されている 圧縮に使った機種は当時パソコンではかなりパフォーマンスが高かったPC98 採用した圧縮方法は、ある程度メッセージが出来上がった状態でないと圧縮率が上がらないので、開発後半に圧縮を始めた がしかし、いつまで経っても圧縮が終わらない! おまけに画面には何にも表示されないので(これは少しでも処理速度を上げるため)、ちゃんとやってんだか、バクって止まってんだか、一体何をしてんだか全然分からない 祈る様な日々を過ごして10日近く過ぎたある日の朝、画面にプロンプトのカーソルが点滅してるではないか! ちゃんと動いてて、圧縮されたデータが出来上がったのでしたー #しかしこれ成功してなかったら絶対容量足りなかったよね

    3.2K7692436306K viewsView on X
  • Aug 30, 20261281x their median

    コインパーキング(三井のリパーク)に駐車→精算しようとしたら精算機が新500円玉不可高額紙幣不可カード不可→財布には万札と新500円玉(2枚)しかない→新っつってももう発行から5年経ってるんだが!?と腹立てながら併設の自販機で飲み物でも…→自販機も新500円受け入れない!→うがああ→ あわてて周囲を走り回る→少し離れた自販機で無事500円玉受け入れてもらえた→戻ってきたら駐車料金が加算されていた… なんか、こう、硬貨対応する気が皆無なんだったらせめてキャッシュレス対応してくださいよ…たのみますよ…

    3.1K6281883372K viewsView on X
  • Jun 22, 2026554x their median

    ハードウェア的に『Doom』を動かす事は不可能と言われていた『ネオジオ』にて、「Doom」を動かしてしまうハッカーが登場!! これは最軽量のDoomエンジンと言われている「Doom64KB」をネオジオに移植したもので、現時点で2ステージまでプレイが可能との事だッッ!! https://t.co/WZwII0yeRu https://t.co/Fnq6WJXxR0

    859204252077K viewsView on X
  • Sep 8, 2026328x their median

    本番で落ちた原因がどうしてもわからなくて、AIにログを全部読ませたら、原因はこの設定値ですって即答が返ってきて。直したら本当に直ったから、逆に怖くなってなんでわかったのか聞いてみたんだよね。そしたら、一般的にはそうなることが多いです、って返ってきて。根拠なしで当てられたのが、障害よりこわかったです。

    847882226104K viewsView on X
  • Aug 26, 2026315x their median

    ChatGPT Work、ログイン必要なサイトも操作可能に 「パスワードは一切見ない」 https://t.co/2gvuWHyeMn

    701136899763K viewsView on X
  • Aug 26, 2026251x their median

    Aperture is officially GA. Give AI agents the models, tools, and infrastructure they need without handing over API keys or unrestricted access. Now with built-in tokens, Tailscale MCPs, Projects, and more. Agentic AI, with Tailscale controls built in → https://t.co/DOI5dmozsv https://t.co/LxQFwWzLJ2

    66856171277K viewsView on X
  • Aug 31, 2026223x their median

    🚨刚刚,韩国启动全民 AI 计划:所有人免费、无限量使用 AI。 韩国科学技术信息通信部刚刚确定 AI for All 项目的最终运营方,SK Telecom、Kakao、KT 三个财团入选。 9 月到 10 月开始 Beta,年底前正式上线。 这个项目最夸张的地方就是两个词: 免费,无限量。 韩国政府希望让所有国民,不管收入、年龄和数字能力,都可以直接使用生成式 AI。 三家运营方今年还会获得政府提供的 512 张 NVIDIA B200,明年开始,面向全民提供服务产生的部分成本也由政府预算承担。 而且它不只是做一个韩国版 ChatGPT。 规划里的 AI 会直接做预约、税务、教育、医疗、金融,以及各种政府行政申请,逐渐变成面向全民的 AI Agent。 韩国政府觉得既然本土 AI 打不过 ChatGPT 的用户规模,那政府直接给算力、给钱、给入口,把几千万国民送进本土 AI 生态。 国家级 AI 获客,已经开始了。

    4684712231107K viewsView on X
  • Jun 2, 2026332x their median

    100万円以上掛けてDGX SparkとかMac Studioとか揃えてローカルLLM環境を整えても、動くモデルがクラウドLLMよりも小規模だからコスパ悪い論。全くの正論だと思うんだけど、ローカルLLMなら24時間延々と走らせて遺伝的アルゴリズムでスクリプト最適化するとか、小さなモデルで仕事をする癖が役立つとか

    527100730196K 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

#comfyui#dgxspark

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.

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Reading these numbers

A typical post picks up 3 interactions against 91K followers, an engagement rate of 0.003%. Measured over 38 original posts, its engagement rate beats 9% of 19,933 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 1.9K times each, and 0.162% of those impressions turn into an interaction. That is about 2.03% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 00:00 UTC, and Wednesday is the busiest day of the week. Of the 38 posts sampled, 13% carry an image or video, 8% are part of a thread and 16% link out. The account's strongest tracked post pulled 70K interactions, about 23239x its own typical post. Recurring topics include #comfyui, #dgxspark.

What is akiyan's engagement rate on X?
akiyan (@akiyan) has an engagement rate of 0.003%, based on the median interactions across 38 original posts from the last 30 days against 91,306 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.003%, akiyan sits below the 10th percentile of the 201,005 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 @akiyan have real engagement?
Its engagement rate beats 9% of the tracked X accounts closest to it in follower count (19,933 accounts), which puts it in the bottom 10% for its size 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 @akiyan post?
Most posts go out around 00:00 UTC, and Wednesday is its busiest day, at roughly 2.2 posts per day across the measured window.

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