광파리_IT 이야기 engagement report
@kwang82 - 275K followers on X
Measured over 8 original posts from a 30-day window, last computed on September 7, 2026.
Engagement
A typical post picks up 11 interactions against 275K followers, an engagement rate of 0.004%. Measured over 8 original posts, its engagement rate beats 15% of 6,874 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 3.8K times each, and 0.288% of those impressions turn into an interaction. That is about 1.39% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.73 post a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 11:00 UTC, and Friday is the busiest day of the week. Of the 8 posts sampled, 88% carry an image or video and 75% link out. The account's strongest tracked post pulled 23K interactions, about 2047x its own typical post. Recurring topics include #emergingtech, #innovation, #robot.
Measured over 8 original posts from a 30-day window, last computed on September 7, 2026. Recurring tags: #emergingtech, #innovation, #robot.
Compared with accounts its own size
광파리_IT 이야기's engagement rate beats 15% of the tracked X accounts closest to it in follower count (6,874 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 19% 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 0.004%, 광파리_IT 이야기 sits above the 10th percentile of the 65,980 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.016%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.016% |
| 50th percentile | 0.1% |
| 75th percentile | 0.499% |
| 90th percentile | 2.09% |
| 99th percentile | 120.0% |
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 11:00 UTC, and Friday 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 | 88% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 75% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 88% 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.
- 75% 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 495 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
- Jul 10, 20262047x their median
A historic day in China’s space program! China’s Long March-10B has successfully completed its maiden flight—and recovered its first stage via a sea-based net. This marks the country’s first-ever controlled rocket recovery. A major leap toward reusable launch capabilities. 🚀🌊🇨🇳
- Jul 25, 20261344x their median
🇨🇳 Chinese AI video about potential future wars. Pay attention to the patch with the flag at 1:30; the Chinese AI model depicted the enemy very clearly. https://t.co/VFe0kWYM6N
- Aug 16, 2026122x their median
🚨 Gemini 4 will drop Soon > Gemini 4 Significantly larger than previous Gemini models > Reportedly targeting late August / early September > Early claims suggest it could outperform Fable 5 and GPT-5.6 Sol > Flash models will continue releasing while the flagship is being trained Are you looking forward to Gemini 4?
- Jul 11, 202669x their median
Tesla has dismantled its Model S and X production line in Fremont in just 46 days. The freed-up space will now be used to install the Optimus production line designed for a target capacity of 1 million units per year when fully ramped.” https://t.co/gduCon4rGZ
- Aug 25, 202640x their median
GOOD NEWS 🚨 Tesla is going to have its biggest month of the year in September with two key product launches: Cybercab and Semi 🔥 The company will host the exclusive Cybercab reveal in Austin, Texas on September 3, followed by the Semi Rollout at the Nevada factory on September 24. These massive events highlight a historic pivot toward a highly scalable autonomous and commercial future. 🚖 The Cybercab is designed to completely disrupt ride hailing economics. Official certifications show the purpose built two seater achieves 165 watt hours per mile. By stripping out the steering wheel and pedals, energy costs plummet to just 2.6 cents per mile. With a purchase price targeted below $30,000, overall operating expenses could drop to a remarkably low $0.20 per mile. We can easily project the massive financial upside of this efficiency. If a single robotaxi clocks 150 paid passenger miles every day at a competitive market rate of $1.50 per mile, it generates over $82,000 in gross annual revenue. The lifetime profit generated by a global fleet of millions would be unprecedented. 🚛 The heavy duty Semi is similarly poised to dominate global logistics. Production at the Nevada factory is scaling toward a capacity of 50,000 units annually. This volume equates to roughly $14 billion in projected yearly revenue, implying an average selling price of $280,000 per truck. Applying a conservative 20 percent commercial manufacturing margin to that average price yields a gross profit of $56,000 per unit. Fleet operators will gladly pay the premium upfront cost since the electric truck runs at just 15 cents per mile. This incredible efficiency saves operators hundreds of thousands of dollars over the vehicle's lifespan compared to diesel equivalents. 💡In general, hundreds of millions of people will soon see these revolutionary products operating in the real world every single day. Seeing driverless taxis and electric semis dominating the roads will generate incredible brand awareness. This continuous public exposure is going to drive endless demand and cement a truly historic moment for Tesla.
- Sep 4, 20261.6x their median
제주도 1년 살기 도전합니다. ... 첫날 소감. 식비가 은근히 걱정된다. 좀더 살아봐야 알겠지만 오늘은 좀 그랬다. 아메리카노를 8천원이나 주고 마시려니 속이 쓰렸다. 둘이서 흑돼지를 조금 넉넉히 먹었더니 7만원 남짓 나왔다. “헐”이다. https://t.co/NvuPrdDT7l https://t.co/mxkbHR2jZf
- Jul 29, 2026
폭염주의보에 쫄아서 사나흘 집에 박혀 있었더니 배가 볼록. 가만뒀다간 올챙이배 될 것 같다. 작심하고 집을 나섰다. 뙤약볕에 자빠지는 한이 있어도 걸어야 한다. 고구려 성 호로고루. 성벽에 개망초가 흐드러지게 피어 있다. 개망초. 구한말 북미에서 들어왔다는 풀. 나라가 망해가는데 철없이 피어나는 망할 놈의 풀, 망초(亡草). 화풀이 삼아 살갑지 않은 접두어 ‘개’까지 붙였나 보다. 이런 생각을 하면서 한 컷 찍으려는 순간 “퍼더덕~~~” 하며 뭣이 날아오른다. 꿩이다. “퍼더덕 퍼더덕” 곧이어 두 녀석이 날아오른다. 허허 이놈들, 나를 놀라게 하려고 그런 것 같은데, 어림없다 이 개꿩들아.
- Aug 21, 2026
제주도 1년 살기에 도전합니다. 웰세 46만원에 캐스퍼 경차. 서럽게 아름다운 제주 https://t.co/i6qfXHHtA9
- Jul 11, 2026
독산(禿山), 대머리 독, 뫼 산, 대머리산? 얼마나 나무가 없길래? 그런 산에 있는 성으로 들어가면 물이 부족해 오래 버티기 어려울 텐데? 임진왜란 독산성전투에 관한 글을 읽으면서 이런 생각을 했다. 권율은 한양으로 진격하던 중 독산성으로 들어갔고 일본군은 성을 포위했다. 권율은 어떻게 위기를 돌파했을까? 독산성, 쌀로 말을 씻은, 산책하기 좋은 곳 https://t.co/dogvMQL1SZ
- Aug 25, 2026
외환위기 때 동료 대신 퇴사했던 곰팅이 이야기 . . 친구는 아무개 대신 퇴사했다. 퇴사 후 다른 일자리를 찾아다녔다. 그런데, 없었다. 일자리가 하나도 없었다. 있는 직원도 내보내는 판에 채용하는 기업이 어디 있겠는가. 결혼까지 한 터라 돈을 벌어야 했다. 뭔가를 해야 했다. 결국 장례식장에서... https://t.co/ZZWNik65iO
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
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 11 interactions against 275K followers, an engagement rate of 0.004%. Measured over 8 original posts, its engagement rate beats 15% of 6,874 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 3.8K times each, and 0.288% of those impressions turn into an interaction. That is about 1.39% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.73 post a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 11:00 UTC, and Friday is the busiest day of the week. Of the 8 posts sampled, 88% carry an image or video and 75% link out. The account's strongest tracked post pulled 23K interactions, about 2047x its own typical post. Recurring topics include #emergingtech, #innovation, #robot.
- What is 광파리_IT 이야기's engagement rate on X?
- 광파리_IT 이야기 (@kwang82) has an engagement rate of 0.004%, based on the median interactions across 8 original posts from the last 30 days against 275,114 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.004%, 광파리_IT 이야기 sits above the 10th percentile of the 65,980 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 @kwang82 have real engagement?
- Its engagement rate beats 15% of the tracked X accounts closest to it in follower count (6,874 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 @kwang82 post?
- Most posts go out around 11:00 UTC, and Friday is its busiest day, at roughly 0.73 posts per day across the measured window.