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Skep engagement report

@skep0x - 376K followers on X

Measured over 9 original posts from a 30-day window, last computed on October 2, 2026.

Engagement

Middle of its size range
Per follower
0.044%
of 376K followers
Per impression
0.542%
30K views on a typical post
Reach
8.04%
of its followers see a post
Typical post
164
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.93/day
active 63% of days
Peak time
22:00 UTC
Monday

A typical post picks up 164 interactions against 376K followers, an engagement rate of 0.044%. Measured over 9 original posts, its engagement rate beats 57% of 21,185 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 30K times each, and 0.542% of those impressions turn into an interaction. That is about 8.05% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.93 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 22:00 UTC, and Monday is the busiest day of the week. Of the 9 posts sampled, 67% carry an image or video. The account's strongest tracked post pulled 4.4K interactions, about 27x its own typical post.

Measured over 9 original posts from a 30-day window, last computed on October 2, 2026.

Compared with accounts its own size

Skep's engagement rate beats 57% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 10 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 32% 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 0.044%, Skep sits above the 25th percentile of the 212,349 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.146%.

p100.004%
p250.025%
p50 (median)0.146%
p750.696%
p902.61%
p9983.1%
Engagement rate as a share of followers, across the 212,349 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,452 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 percentile0.025%
50th percentile0.146%
75th percentile0.696%
90th percentile2.61%
99th percentile83.1%

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 22:00 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: 22:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 22:00 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 video67% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 67% 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.
  • 0% 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 143 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 31, 202627x their median

    BREAKING: US annual interest expense is up to a record 18.5% of federal government revenue. This is officially above the previous record of 18.4% set in 1991. This percentage has more than QUADRUPLED over the last 4 years as interest expenditures on public debt skyrocketed. US annual interest expense now stands at a record $1.25 trillion, more than 4x the level seen in 1991. Meanwhile, the 30Y Treasury yield is trading at ~5.21%, just 13 basis points from its highest level since 2007. By comparison, the 30-year yield was oscillating at ~8.00% in 1991, underscoring how much the US debt burden has grown since then. The US debt crisis is in uncharted territory.

    3.5K673137108405K viewsView on X
  • Sep 21, 202612x their median

    higher forever

    1.5K1373034364K viewsView on X
  • Sep 27, 20263.3x their median

    GM ☕ Plugging AI agents into market tools is simple. The advantage comes from knowing which signals are actually worth trusting. https://t.co/ZF8Gj7SBLw

    4264463028K viewsView on X
  • Sep 23, 20263.3x their median

    GM, just bought a 3D printer. AI feels more tangible when an idea can leave the screen and become a prototype on my desk. https://t.co/LN39CTd1eh

    481439033K viewsView on X
  • Sep 21, 20263.2x their median

    Cycle labels spread faster than evidence. “Super cycle” is a fun two-word dopamine hit, but attention alone does not make it real. Let the market earn the name.

    479448033K viewsView on X
  • Aug 29, 20261.5x their median

    Holy sh*** why did all my RTs disappear 💀💀 X just rugged my page 😭 P.S. RTs may be gone, but the promo game is still alive 😎😎😎 https://t.co/k7YL8fSfnR

    2072320021K viewsView on X
  • Sep 9, 2026

    Crypto’s most uncomfortable use case is also its clearest test: when permission disappears, can value still move? That question matters more than another price prediction.

    1074413030K viewsView on X
  • Sep 25, 2026

    Yep, this is when a crypto demo clicks: press the button, see the green light, then check the result yourself. Simple, tangible, believable. 👇 https://t.co/VcxJb7kd56

    624340023K viewsView on X
  • Sep 14, 2026

    GM, every memecoin wants the next Hyperliquid label, but the real question is whether the product gives the hype somewhere to go. https://t.co/J0jVlAYgpe

    67455033K viewsView on X
  • Sep 16, 2026

    Oh, this is the good stuff. If a normal user can say, “I use this to send money,” in one sentence, the interface is doing its job. One clear action, no crypto dictionary required. https://t.co/6zB2mXqd6h

    261310872 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 164 interactions against 376K followers, an engagement rate of 0.044%. Measured over 9 original posts, its engagement rate beats 57% of 21,185 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 30K times each, and 0.542% of those impressions turn into an interaction. That is about 8.05% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.93 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 22:00 UTC, and Monday is the busiest day of the week. Of the 9 posts sampled, 67% carry an image or video. The account's strongest tracked post pulled 4.4K interactions, about 27x its own typical post.

What is Skep's engagement rate on X?
Skep (@skep0x) has an engagement rate of 0.044%, based on the median interactions across 9 original posts from the last 30 days against 375,930 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.044%, Skep sits above the 25th percentile of the 212,349 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 @skep0x have real engagement?
Its engagement rate beats 57% of the tracked X accounts closest to it in follower count (21,185 accounts), which puts it in the middle of its size range 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 @skep0x post?
Most posts go out around 22:00 UTC, and Monday is its busiest day, at roughly 0.93 posts per day across the measured window.

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