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
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%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 0% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 100% 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
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.