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구루 engagement report

@xguru - 53K followers on X

Measured over 8 original posts from a 30-day window, last computed on October 15, 2026.

Engagement

Bottom quarter for its size
Per follower
0.015%
of 53K followers
Per impression
0.241%
3.3K views on a typical post
Reach
6.27%
of its followers see a post
Typical post
8
interactions (median)
Saved
0.045%
2 bookmarks on a typical post
Posting rate
0.47/day
active 27% of days
Peak time
05:00 UTC
Thursday

A typical post picks up 8 interactions against 53K followers, an engagement rate of 0.015%. Measured over 8 original posts, its engagement rate beats 19% of 20,445 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 3.3K times each, and 0.241% of those impressions turn into an interaction. That is about 6.27% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.47 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 05:00 UTC, and Thursday is the busiest day of the week. Of the 8 posts sampled, 100% link out. The account's strongest tracked post pulled 165 interactions, about 21x its own typical post.

Measured over 8 original posts from a 30-day window, last computed on October 15, 2026.

Compared with accounts its own size

구루's engagement rate beats 19% of the tracked X accounts closest to it in follower count (20,445 accounts, accounts of similar size (decile 5 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 10% 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 0.015%, 구루 sits above the 10th percentile of the 205,261 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,261 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 05:00 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: 05:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 05:00 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 video0% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 0% 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 212 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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 27, 202621x their median

    RAG는 생각보다 단순하다 다들 임베딩·벡터 DB 파이프라인을 도입하지만, 상당수 검색 문제는 BM25와 질의 재작성만으로 해결할 수 있음 BM25는 10ms 미만이고 청킹과 모델 비용이 없음 대화형 질의와 어휘 불일치는 건당 약 $0.001의 LLM 질의 재작성으로 보완 가능 https://t.co/MjGBtvym9R

    127320624K viewsView on X
  • Sep 13, 202620x their median

    Pandas는 멸종해야 한다 10억 행 CSV 벤치마크에서 Pandas는 4분 28초, Polars와 DuckDB는 약 5초였고 메모리도 크게 적게 사용함 약 100GB 작업은 복잡한 분산 시스템 대신 두 도구로 처리할 수 있으며, Arrow로 전체 코드를 다시 쓰지 않고 섞어 시험할 수 있음 https://t.co/PWEI1pCO4j

    116360851K viewsView on X
  • Aug 30, 202611x their median

    소름 끼치는 크롤러들 AI크롤러가 Linux Git을 복제하지않고 148만 커밋을 HTML로 요청, 같은 커밋을 최대922번 렌더링하게 만듦 하루 약600만건,전체CPU의 약20%가 이 렌더링에 쓰임 정상트래픽은 약2%임 커널의 전체 커밋 이력은 AI이전의 코드/설명/토론 데이터라서 https://t.co/OnKoyBhmhz

    57301340K viewsView on X
  • Aug 27, 202611x their median

    wsrv․nl - 무료 오픈소스 이미지 CDN 원본 URL에 파라미터만 붙이면 가입이나 API Key 없이 리사이즈, 크롭, 포맷 변환, 압축 후 CDN에 캐싱 GIF, animated WebP, PDF도 처리하며 시간당 약 2천만 장을 리사이즈하는 이미지 프록시 오픈소스로 Docker 직접 호스팅도 가능 https://t.co/Mth4pJmYBf

    62250325K viewsView on X
  • Sep 3, 202611x their median

    클릭하우스(ClickHouse) - 기적의 데이터베이스 기술 맥북에 설치해 약 10억 건을 넣고, 집계 쿼리를 돌리자 엔터를 치는 순간 답이 나옴 필요한 칼럼만 읽고, 블록 단위로 계산하며 여러 CPU 코어가 나눠 처리해 읽는 바이트와 불필요한 연산을 줄이고 압축 효율도 높임 https://t.co/x1eBo7bSwW

    62200416K viewsView on X
  • Aug 27, 20268.3x their median

    GLM-5.3-Flash: 프런티어급 지능, Flash급 비용 OpenRouter 사용량 1위에 올랐던 소문의 Ox-alpha가 드디어 모델로 공개 320B 중 18B만 활성화해 GLM-5.2보다 높은 성능을 10분의 1 가격에 제공, 코딩/에이전트는 Claude Opus 4.8에 근접 모델 가중치도 허깅페이스에 공개함 https://t.co/CnrzsVavlo

    3924037.5K viewsView on X
  • Sep 13, 20267.8x their median

    다리오에게 보내는 공개서한: 진심이라면 모델 가중치를 공개하라 외부 평가자와 연산량 기준 같은 규제 대신, 대중에 제공하는 모든 AI 모델의 가중치 공개를 법으로 의무화하자는 주장 독점 가치를 없애 후속 학습 자금을 줄여 개발 경쟁을 늦추자는 것 https://t.co/OAWiHhnlOd

    33213510K viewsView on X
  • Aug 17, 20267.0x their median

    Flexible Authentication - 수백만 사용자를 위한 Airbnb의 인증 재설계 계정을 먼저 식별한 뒤 이력/지역/플랫폼에 따라 서버가 성공 가능성 높은 인증 수단을 선택하고, 막히면 다른 수단으로 전환 인증 성공률 2.6% 상승, 중복 계정 27% 감소, SMS OTP 비용 11% 절감 https://t.co/UUBLiue7oN

    43120122K viewsView on X
  • Sep 4, 20266.6x their median

    CLIProxyAPI - AI 구독 계정을 호환 API로 노출하는 프록시 ChatGPT, Claude, Gemini OAuth 계정을 연결하면 API 키 없이 코딩 에이전트에서 구독 모델을 호출 요청과 응답을 각 제공자와 클라이언트 형식에 맞게 변환하며 스트리밍, 도구 호출, 이미지 입력까지 지원 https://t.co/6n3D4FVMQ8

    4191213K viewsView on X
  • Aug 25, 20266.3x their median

    Paul Graham: 17살이라면 LLM을 처음부터 만드는 법을 배우겠다 가진 하드웨어로 최대한 강한 모델을 직접 학습해 바퀴가 만들어지는 원리부터 익히겠다는 것 당장 창업하기보다 실제로 쓸 LLM을 만들며 기반을 쌓고, 그 과정에서 더 나은 창업 아이디어를 찾으라는 조언 https://t.co/5TzCFkGkau

    36121113K 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 8 interactions against 53K followers, an engagement rate of 0.015%. Measured over 8 original posts, its engagement rate beats 19% of 20,445 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 3.3K times each, and 0.241% of those impressions turn into an interaction. That is about 6.27% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.47 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 05:00 UTC, and Thursday is the busiest day of the week. Of the 8 posts sampled, 100% link out. The account's strongest tracked post pulled 165 interactions, about 21x its own typical post.

What is 구루's engagement rate on X?
구루 (@xguru) has an engagement rate of 0.015%, based on the median interactions across 8 original posts from the last 30 days against 52,938 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.015%, 구루 sits above the 10th percentile of the 205,261 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 @xguru have real engagement?
Its engagement rate beats 19% of the tracked X accounts closest to it in follower count (20,445 accounts), which puts it in the bottom quarter 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 @xguru post?
Most posts go out around 05:00 UTC, and Thursday is its busiest day, at roughly 0.47 posts per day across the measured window.

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