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Peter Kostis engagement report

@peterjkostis - 4.4M followers on X

Measured over 5 original posts from a 30-day window, last computed on August 23, 2026.

Engagement

Middle of its size range
Per follower
0.005%
of 4.4M followers
Per impression
0.767%
27K views on a typical post
Reach
0.62%
of its followers see a post
Typical post
208
interactions (median)
Saved
0.029%
8 bookmarks on a typical post
Posting rate
0.47/day
active 30% of days
Peak time
14:00 UTC
Sunday

Early reading. We have captured 5 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 208 interactions against 4.4M followers, an engagement rate of 0.005%. Measured over 5 original posts, its engagement rate beats 34% of 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 27K times each, and 0.767% of those impressions turn into an interaction. That is about 0.62% 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 30% of days saw any activity at all. Most posts go out around 14:00 UTC, and Sunday is the busiest day of the week. Of the 5 posts sampled, 40% carry an image or video and 20% link out. The account's strongest tracked post pulled 27K interactions, about 132x its own typical post. Recurring topics include #dcvax, #gbm, #𝗗𝗖𝗩𝗮𝘅. Only 5 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 5 original posts from a 30-day window, last computed on August 23, 2026. Recurring tags: #dcvax, #gbm, #𝗗𝗖𝗩𝗮𝘅.

Compared with accounts its own size

Peter Kostis's engagement rate beats 34% of the tracked X accounts closest to it in follower count. A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

Where this sits in the catalog

At 0.005%, Peter Kostis sits above the 10th percentile of the 9,573 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.006%.

p100.001%
p250.006%
p50 (median)0.045%
p750.318%
p902.70%
p99370.4%
Engagement rate as a share of followers, across the 9,573 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 462,938 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 percentile0.001%
25th percentile0.006%
50th percentile0.045%
75th percentile0.318%
90th percentile2.70%
99th percentile370.4%

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 14:00 UTC, and Sunday 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 107%Busiest hour: 14:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC+10%4.7K
01:00 UTC+7%4.6K
02:00 UTC+4%4.7K
03:00 UTC+4%4.6K
04:00 UTC+5%4.2K
05:00 UTC-2%4.2K
06:00 UTC-10%4.2K
07:00 UTC-3%4.7K
08:00 UTC-5%5.5K
09:00 UTC+7%6.1K
10:00 UTC+1%7.0K
11:00 UTC-3%7.6K
12:00 UTC-3%8.7K
13:00 UTC-1%10K
14:00 UTC-5%11K
15:00 UTC-6%12K
16:00 UTC-3%12K
17:00 UTC-4%11K
18:00 UTC+1%9.5K
19:00 UTC-2%8.7K
20:00 UTC-2%7.7K
21:00 UTC+5%6.6K
22:00 UTC+3%5.7K
23:00 UTC+7%4.7K
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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 107%Busiest day: Sunday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+18%25K
Monday+10%41K
Tuesday-24%42K
Wednesday+2%14K
Thursday0%16K
Friday0%19K
Saturday+16%22K
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 video40% of posts+53%+46% to +62%1.9K
Outbound link20% of posts-52%-54% to -49%2.2K
  • 40% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 53% above the same accounts' other posts.
  • 20% of its posts carry a link off X. Across the catalog, posts with an outbound link run 52% 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

  • Jul 2, 2026132x their median

    I can't stop listening to this song. Best thing that came out of the World cup being in the United States this year. 🇺🇸 Watching this compilation of fans from all over the world at the 2026 World Cup in America is so heartwarming. USA USA USA 🇺🇸https://t.co/mwAWzAKcsg

    23K3.2K7314282.1M viewsView on X
  • Jul 17, 202645x their median

    Seriously? @GolfChannel ? Why should a player "graciously" accept a penalty that they honestly feel that they didn't deserve? If someone shows me a DEFINITIVE camera angle that showed his swing path was improved then there should be a penalty. But for a commentator to state that he definitely did improve his situation is , in my opinion, more about their personal opinion of Bryson than the facts. There is no down the line video that I have seen.

    7.6K702928100406K viewsView on X
  • Jul 17, 202634x their median

    In my opinion, with the depth of field issues with TV cameras and no definitive camera angles of his swing path, there cannot be conclusive video evidence that Bryson improved his lie or swing path. In cases like this the benefit of doubt should go to the player. I don't like this decision.

    5.9K47956666386K viewsView on X
  • Aug 20, 202627x their median

    Imagine buying Moderna $MRNA after it's gone up 160%, not knowing that: 1. The first person in the world who took Moderna's mRNA-4157 Cancer vaccine outside of Clinical Trials died recently with no improvement - he was a jabbed Australian Cancer Researcher (@ProfRAScolyer) 2. Moderna's mRNA Cancer Vaccine is actually 18 to 27 injections (Phase 2 had 27 injections, Phase 3 had 18) 3. Moderna's mRNA Cancer Vaccine has an upto 36% severe side effect rate (Grade 3+) 4. Moderna didn't actually give us any results of their Phase 3 INTerpath-001 Trial and Phase 2 results were underwhelming at best 5. Merck actually takes 50% of the profit of every Moderna mRNA Cancer Vaccine sold 😂 This was a Big Pharma bot driven news day with no substance whatsoever. If you bought low, this was an excellent dead cat bounce as far as a stock move is concerned, but that's all this is. There is no "cure for cancer" here, sorry to say 🙄

    4.0K1.3K205151336K viewsView on X
  • Jul 12, 20262.8x their median

    📣📣JUDGE IN NWBO MAKES KEY ALGORITHMIC DATA DISCOVERABLE This is a very important win for Northwest Biotherapeutic NWBO. Algorithmic data proves the intent to harm the company and shareholders. They want you to believe it is just a market happenstance caused by the wider market instead of a coordinated planned attack. We are finally seeing Judges allowing discovery. In the MMTLP bankruptcy case, the Judge has also ordered discovery. Firms like Citadel Securities and Virtu Financial are named in many cases, accused of market manipulation. Their high paid attorney's are not being successful at getting these cases dismissed and the crime to go undiscovered. MAYBE THE TIDES ARE TURNING 🙏🙏

    402159165120K viewsView on X
  • Jun 17, 20262.7x their median

    Jack Nicklaus' steel driver shaft was approximately 130 grams in weight (roughly double what is used today) and he had to tip it to make it stiff enough to handle his swing speed. That weight limited the club in length because the club would be too heavy to swing at a longer length. Average height of tour players back then was well under 6 ft. As shafts became lighter and especially, stiffer they could be lengthened and that opened the game to taller, bigger, stronger and more athletic players. Today's tour players average well over 6 ft. tall. I'm not convinced the game needs changes but assuming it does, regulating shaft weights and stiffness would certainly slow down club speed. Golf shafts are already bifurcated in the sense that amateur golfers almost never play a "tour shaft" in terms of flex and weight. I can assure you that players would not be pursuing 125MPH of club head speed with a heavier shaft that was soft enough to make timing and rhythm more important. This is a complicated problem that does not have a "simple" solution like changing the ball.

    46224744130K viewsView on X
  • Jul 28, 20262.4x their median

    📣📣OPAQUE MINIMAL REGULATION FIRMS HAVE TAKEN OVER WALL STREET Firms like Citadel, Jane Street, Susquehanna, and Virtu have taken over Wall Street. They have minimal regulation and don't have to adhere to many of the rules that banks do. These firm pay for order flow which should be called PAYMENT FOR ORDER FRAUD They funnel Retail orders through dark pools and are high frequency trading. Which means they can steal in nanoseconds. ZERO TRANSPARENCY, ZERO REGULATION. WHAT COULD GO WRONG 🤔

    34212717822K viewsView on X
  • Jul 10, 20262.1x their median

    $NWBO That $1 price target is a joke. Someone is massively short this stock and needs people to sell at ridiculously low prices. Naked shorts drove it down to today’s levels and tried to destroy the company. They are pinning the price here, hoping you get frustrated and sell early. Why doesn’t the stock price go up when the company puts out great news? It’s because the naked shorts (counterfeit shares) are so underwater and they are trapped. They can’t let the price go up because they fear a margin call. They sold shares they don’t have and will be forced to buy them back at whatever price people are willing to sell them. And if the naked short walks away, brokers are left holding the bag. That’s why trade settlement isn’t enforced. The only thing the stock price represents is the fraud regulators allow in today’s stock market. Thanks @sharpie510 for the find @CohenMilstein @Hamnakedshorts 👇👇👇

    317951811100K viewsView on X
  • Jun 22, 20261.9x their median

    Special shout out to Whisper Rock Golf Club... home of 3 of the last 4, and 4 of the last 6, U.S. Open Champions!

    36517163125K viewsView on X
  • Sep 3, 20211.9x their median

    Which series would you rather watch?

    247241150View 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

#dcvax#gbm#𝗗𝗖𝗩𝗮𝘅

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 208 interactions against 4.4M followers, an engagement rate of 0.005%. Measured over 5 original posts, its engagement rate beats 34% of 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 27K times each, and 0.767% of those impressions turn into an interaction. That is about 0.62% 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 30% of days saw any activity at all. Most posts go out around 14:00 UTC, and Sunday is the busiest day of the week. Of the 5 posts sampled, 40% carry an image or video and 20% link out. The account's strongest tracked post pulled 27K interactions, about 132x its own typical post. Recurring topics include #dcvax, #gbm, #𝗗𝗖𝗩𝗮𝘅. Only 5 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is Peter Kostis's engagement rate on X?
Peter Kostis (@peterjkostis) has an engagement rate of 0.005%, based on the median interactions across 5 original posts from the last 30 days against 4,375,586 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.005%, Peter Kostis sits above the 10th percentile of the 9,573 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 @peterjkostis have real engagement?
Its engagement rate beats 34% of the tracked X accounts closest to it in follower count, 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 @peterjkostis post?
Most posts go out around 14:00 UTC, and Sunday is its busiest day, at roughly 0.47 posts per day across the measured window.

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