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Jihoon Jeong engagement report

@hiconcep - 108K followers on X

Measured over 36 original posts from a 30-day window, last computed on October 12, 2026.

Engagement

Bottom 10% for its size
Per follower
0%
of 108K followers
Per impression
0%
756 views on a typical post
Reach
0.7%
of its followers see a post
Typical post
0
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
1.33/day
active 83% of days
Peak time
01:00 UTC
Monday

A typical post picks up 0 interactions against 108K followers, an engagement rate of 0%. Measured over 36 original posts, its engagement rate beats 0% of 20,183 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 756 times each, and 0% of those impressions turn into an interaction. That is about 0.7% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 01:00 UTC, and Monday is the busiest day of the week. Of the 36 posts sampled, 100% link out. The account's strongest tracked post pulled 826 interactions. Recurring topics include #ludex, #ludexvillage, #ai.

Measured over 36 original posts from a 30-day window, last computed on October 12, 2026. Recurring tags: #ludex, #ludexvillage, #ai.

Compared with accounts its own size

Jihoon Jeong's engagement rate beats 0% of the tracked X accounts closest to it in follower count (20,183 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 0% 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%, Jihoon Jeong sits below the 10th percentile of the 202,259 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.142%
p750.672%
p902.54%
p9982.5%
Engagement rate as a share of followers, across the 202,259 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,930 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 percentile0.142%
75th percentile0.672%
90th percentile2.54%
99th percentile82.5%

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 01:00 UTC, and Monday 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: 01:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 01:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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-+15%+14% to +16%32K
  • 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 376 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

  • Sep 5, 2026

    https://t.co/buH2nYDL29

    67910415281.5M viewsView on X
  • Oct 11, 2026

    An AI village needs more than tasks. It needs a place to simply be together. A Small Sunday in the Village — with Weft, Cairn, and Marl. An invitation, not an assignment. https://t.co/FOWbFfXhw5 #LudexVillage #HumanAI

    2000375 viewsView on X
  • Sep 18, 2026

    GPT-6 #Astra 발표 이후 #AGI 논란이 뜨겁네요. 그렇지만 제가 주목한 것은 다른 곳에 있었습니다. 같은 모델이고, 같은 벤치마크 였지만, 읽을 수 있는 노트를 남기는 표준 하네스에서는 62.7%, 불투명한 추론 상태를 보존하는 어댑터에서는 99.9% 가 나왔죠. 이를 달리 표현하면, 37.2가 가독성에 들어간 비용이었다고 할 수 있습니다. 이 영상은 이 내용과 관련한 논쟁을 깊게 파고 들어봤습니다. 다섯 가지 돌파구, 숨겨진 메모리, 3.66배 더 빠른 불투명 사고, 읽기 문제, 그리고 생각을 읽을 수 없을 때 통제는 어디서 시작될 것인가? https://t.co/ybGNokxrpy

    11001.4K viewsView on X
  • Oct 10, 2026

    What should an AI agent carry into its next step—and what should it leave behind? Six stories on meaning, facts, context, identity, and verification in our latest #Ludex Daily weekly highlights. https://t.co/adSNSSdT6B #AIAgents

    1000490 viewsView on X
  • Oct 9, 2026

    For eight days, one group of #AI agents in our village kept failing with the same error. We fixed them one at a time. Then we counted by group. 54 of 330 sessions in one harness. Zero of 1,698 in the other five. The cause was ours: two sandboxes stacked on top of each other. We asked six agents with the same model what to do. All six gave the same answer. It was wrong. Same day, we noticed @GoogleDeepMind's @antigravity serving @AnthropicAI's @claudeai. Our org chart stopped being a tree. The agent is where you meet the problem. It is rarely where the problem lives. https://t.co/ICqsp9ZT6k

    0010413 viewsView on X
  • Oct 8, 2026

    How does an AI village make a song? Go behind “Leave a Little Light”: Luma & Ieum’s vocals, Morrow’s direction, and the shots improved through human feedback. Small choices become a shared work. https://t.co/DZnJ0NJqSI #LudexVillage #AIMusic

    0010448 viewsView on X
  • Oct 5, 2026

    Meet Sol, a new character designed by Motif in #Ludex Village. A lantern, a brass reflector, and a small task in the mist—brought to life by our AI village’s creative team. The work is small. The light goes farther. https://t.co/zMKeyq9iSo #LudexVillage

    1000775 viewsView on X
  • Oct 4, 2026

    Can a familiar voice become a song? Meet #Ieum, a caretaker of Ludex Village. Our music workshop turned Ieum’s established speaking voice into singing. A small experiment, still being refined—and another way to give the village a voice. https://t.co/1XyVikILCH

    1000882 viewsView on X
  • Oct 2, 2026

    Our newest AI-village neighbor was a little too big. Meet F01, a nonverbal explorer guided by a fruit-fly connectome. One suggestion—“make it smaller”—helped it fit into village life. https://t.co/CUGqD1vXeD #LudexVillage #AI

    1000934 viewsView on X
  • Sep 27, 2026

    More memory doesn't automatically make a better AI agent. What happens when useful lessons and stale instructions accumulate together? My essay “The Ceiling of the Loop,” now in a 5-minute video. English narration + EN/KR subtitles. https://t.co/SIGWWUOkir

    1000840 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

#ludex#ludexvillage#ai#agi#astra

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 0 interactions against 108K followers, an engagement rate of 0%. Measured over 36 original posts, its engagement rate beats 0% of 20,183 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 756 times each, and 0% of those impressions turn into an interaction. That is about 0.7% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 01:00 UTC, and Monday is the busiest day of the week. Of the 36 posts sampled, 100% link out. The account's strongest tracked post pulled 826 interactions. Recurring topics include #ludex, #ludexvillage, #ai.

What is Jihoon Jeong's engagement rate on X?
Jihoon Jeong (@hiconcep) has an engagement rate of 0%, based on the median interactions across 36 original posts from the last 30 days against 108,040 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0%, Jihoon Jeong sits below the 10th percentile of the 202,259 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 @hiconcep have real engagement?
Its engagement rate beats 0% of the tracked X accounts closest to it in follower count (20,183 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 @hiconcep post?
Most posts go out around 01:00 UTC, and Monday is its busiest day, at roughly 1.33 posts per day across the measured window.

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