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Pegasus engagement report

@PegasusFund - 241K followers on X

Measured over 19 original posts from a 30-day window, last computed on September 10, 2026.

Engagement

Middle of its size range
Per follower
0.038%
of 241K followers
Per impression
0.644%
14K views on a typical post
Reach
5.87%
of its followers see a post
Typical post
91
interactions (median)
Saved
0.057%
8 bookmarks on a typical post
Posting rate
2.33/day
active 43% of days
Peak time
17:00 UTC
Wednesday

A typical post picks up 91 interactions against 241K followers, an engagement rate of 0.038%. Measured over 19 original posts, its engagement rate beats 34% of 6,874 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 14K times each, and 0.644% of those impressions turn into an interaction. That is about 5.87% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.3 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 17:00 UTC, and Wednesday is the busiest day of the week. Of the 19 posts sampled, 26% carry an image or video and 21% are part of a thread. The account's strongest tracked post pulled 908 interactions, about 10.0x its own typical post.

Measured over 19 original posts from a 30-day window, last computed on September 10, 2026.

Compared with accounts its own size

Pegasus's engagement rate beats 34% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 6 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 31% 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 0.038%, Pegasus sits above the 25th percentile of the 66,393 accounts in this comparison. That places it in the below the median band, which runs 0.016% to 0.1%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99119.5%
Engagement rate as a share of followers, across the 66,393 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 56,924 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 percentile0.002%
25th percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile119.5%

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 17:00 UTC, and Wednesday 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: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 17:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video26% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 26% 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 188 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

  • Jul 15, 202610.0x their median

    One of the biggest Driving Forces in the Future for Jobs, are Data Centers. They are big, strong, bold, and Money Machines for the State in which they are built. Governor Kathy Hochul, for political reasons, has terminated all Data Centers being built, or to be built, in New York State. These Companies are now being sought in Alabama, Florida, Texas, Arizona, and many other States. Both the Taxes and the Jobs amount to LIQUID GOLD! New York State has made a terrible decision. All of this Income, and other Benefits, will be going to Red States, and some Blue, where Data Centers are sought as Cash Cows, with Lower Taxes and Record Setting Jobs. They must pay for their own Water and Power, and any leftover goes back to the State and local Community. Data Centers are tremendous WINS for the States and Communities that are lucky enough to get them. New York should change its Policy, IMMEDIATELY. The Radical Left Dumocrats must not be allowed to cause us to lose Data Centers, AI, and all of this incredible new Technology, to China, and other countries! President DONALD J. TRUMP ( TS: Jul 15 2026, 12:39 PM ET )​​​​​​​​‍‌​​​​‍‍​​‌‍‍‍‍‍‌‌‍‌‌‌‍​‌‌‌​‍​‍​‍

    663143939167K viewsView on X
  • Aug 23, 20268.2x their median

    rant about the corporate state merger in the wake of a failed productivity boom driving the capital flight god candles (watch at 2x) https://t.co/KLskjRDxUx

    6592255968K viewsView on X
  • Aug 19, 20266.0x their median

    TREASURY DOUBLES LONG-END BUYBACK SIZE Starting Sept. 9, the U.S. Treasury will increase liquidity-support buybacks for 10–20Y and 20–30Y bonds from a $2B maximum to at least $4B per operation.

    396642458178K viewsView on X
  • Aug 22, 20265.2x their median

    *NVIDIA CUSTOMERS NOTIFIED ABOUT AI PRICE HIKES ABOVE 15% Well played Jensen https://t.co/6TSB9QkhVm

    390272824127K viewsView on X
  • Jul 19, 20264.4x their median

    I decided to start a Substack to share more of what I see as under-served, independent thinking. I'll be doing things a bit differently on here, with a lot more my thoughts, my analysis, and its implications on substack. Here is my manifesto: https://t.co/YzwO45Od4i

    3671678224K viewsView on X
  • Aug 25, 20263.7x their median

    When we're all positioned the same way after using all of the same data and attending all of the same meetings to see the stock down -20% because we didn't use our brains and identify the Nike product issue $DKS https://t.co/fJ5ZOjIrWT

    313138582K viewsView on X
  • Aug 18, 20262.4x their median

    Marginal differences in Anthropic’s ARR are causing massive volatility in the entire AI complex. This is clear signal of both the fragility of the market and the difficulties of the assumptions the market is making

    190818220K viewsView on X
  • Aug 26, 20261.7x their median

    I don’t see how NVDA long term estimates are possible with the current trajectories of its customer base and its competition. So many hurdles for the industry to produce the sales figure against component costs, debt markets, efficiency gains, power limits & cannibalization

    139411014K viewsView on X
  • Aug 21, 2026

    The societal damage of currency debasement is so profound. Consider misappropriation of federal money. If the public has incentive to care about the deficit and think money is scarce, there is reason to care. In debasement there’s no reason to because money is infinite

    113710218K viewsView on X
  • Aug 28, 2026

    GTA6 seems to have passed every smell test. Gut says don’t make it complicated and TTWO probably works through and after the launch. Not a hot take whatsoever

    88112243K 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 91 interactions against 241K followers, an engagement rate of 0.038%. Measured over 19 original posts, its engagement rate beats 34% of 6,874 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 14K times each, and 0.644% of those impressions turn into an interaction. That is about 5.87% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.3 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 17:00 UTC, and Wednesday is the busiest day of the week. Of the 19 posts sampled, 26% carry an image or video and 21% are part of a thread. The account's strongest tracked post pulled 908 interactions, about 10.0x its own typical post.

What is Pegasus's engagement rate on X?
Pegasus (@PegasusFund) has an engagement rate of 0.038%, based on the median interactions across 19 original posts from the last 30 days against 240,792 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.038%, Pegasus sits above the 25th percentile of the 66,393 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 @PegasusFund have real engagement?
Its engagement rate beats 34% of the tracked X accounts closest to it in follower count (6,874 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 @PegasusFund post?
Most posts go out around 17:00 UTC, and Wednesday is its busiest day, at roughly 2.33 posts per day across the measured window.

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