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John Shedletsky engagement report

@Shedletsky - 485K followers on X

Measured over 20 original posts from a 30-day window, last computed on September 23, 2026.

Engagement

Top quarter for its size
Per follower
0.289%
of 485K followers
Per impression
1.42%
98K views on a typical post
Reach
20.4%
of its followers see a post
Typical post
1.4K
interactions (median)
Saved
0.151%
147 bookmarks on a typical post
Posting rate
1.53/day
active 57% of days
Peak time
19:00 UTC
Thursday

A typical post picks up 1.4K interactions against 485K followers, an engagement rate of 0.289%. Measured over 20 original posts, its engagement rate beats 86% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 98K times each, and 1.42% of those impressions turn into an interaction. That is about 20.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 19:00 UTC, and Thursday is the busiest day of the week. Of the 20 posts sampled, 80% carry an image or video, 10% are part of a thread and 15% link out. The account's strongest tracked post pulled 17K interactions, about 12x its own typical post. Recurring topics include #rdc, #robloxdev, #robloxㅤ.

Measured over 20 original posts from a 30-day window, last computed on September 23, 2026. Recurring tags: #rdc, #robloxdev, #robloxㅤ.

Compared with accounts its own size

John Shedletsky's engagement rate beats 86% of the tracked X accounts closest to it in follower count (20,444 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 57% 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 0.289%, John Shedletsky sits above the 50th percentile of the 204,491 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.677%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,491 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 percentile0.143%
75th percentile0.677%
90th percentile2.55%
99th percentile82.4%

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 19:00 UTC, and Thursday 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: 19:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 19:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video80% of posts+111%+108% to +115%34K
Outbound link15% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 80% 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.
  • 15% 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 149 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 27, 202612x their median

    https://t.co/IyLLcyENlk

    15K1.8K8161611K viewsView on X
  • Jul 2, 20269.6x their median

    Randomly stumbled on this Scratch game last night and it was a very meta experience for me. https://t.co/ZbjgaZWvjy

    11K1.8K115114292K viewsView on X
  • Sep 1, 20268.4x their median

    spent my entire childhood wanting to try this cake irl... happy 20th birthday roblox! :) https://t.co/UgcG57fjtF

    9.9K1.7K8826212K viewsView on X
  • May 19, 20267.9x their median

    The Czech flag contains infinitely many Czech flags. What other country flags have the property? https://t.co/PXzwgWbhdT

    10K294172662.3M viewsView on X
  • Aug 28, 20267.6x their median

    What an excellent way to use AI! We forget that before Henry Ford brought the Model T to market in 1908 well over 500 car companies had sprung up in America alone, making somewhere in the range of 2000 to 3000 distinct models of vehicles. It was the Wild West days of the automotive industry and it was anyone's guess who would come out on top. It's exactly the same today in robotics. Seemingly every day a new robotics company is announced with a promise or with a prototype. The variety is huge and the field is wide open. I believe that the Steel Bot robot has just the right mix of features and performance specifications to be widely useful and to dominate in the market. I'm working with all my being to bring it to fruition.

    8.5K1.6K230150686K viewsView on X
  • Aug 29, 20266.5x their median

    this is insane! just got access to GTA 6 and one of the missions is to transport illegal GPUs with Jensen. https://t.co/bGfBkjajKV

    8.3K445186108952K viewsView on X
  • Aug 23, 20266.1x their median

    7yo has been vibe coding a video game He basically just 1) describes other games he likes and 2) tells the AI it did a bad job and to do better This is what elite-level coding is now https://t.co/wLUR0lz3qE

    7.7K2313271831.1M viewsView on X
  • Sep 7, 20265.3x their median

    Introducing SuperAstra: Edit Super Nintendo games live with GPT-6 One of my favorite ways to test new models has been reverse engineering classic games. This is hard because it's raw machine code. Astra is way better than anything I've seen. Download and examples below 👇 https://t.co/O39Vx0DqDT

    6.3K5252582001.2M viewsView on X
  • Mar 20, 20264.2x their median

    We spent $15,000 on billboards targeting one person: the guy controlling all the chemical spend at a saltwater disposal company in Texas. We mapped his commute and bought every billboard between his house and the oil field. When we finally called, he said "I see your billboards everywhere." That landed us our first oil field contract. At the time our entire operation was a $10,000 reactor built from PVC pipes from Home Depot, turning corn sugar into industrial chemicals. People keep trying to throw it away. It still works. That leaking reactor started a multibillion-dollar company. @ycombinator visited our plant in Houston. The original PVC reactor is still on the floor next to the Bioforge.

    5.8K408169120936K viewsView on X
  • Sep 12, 20263.0x their median

    Backstage at RDC felt like we were about to launch a spaceship. Mission Control. Great to see everyone; exciting things in the pipe. https://t.co/uSDKkKhYgE

    3.9K27378183K 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

#rdc#robloxdev#robloxㅤ

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 1.4K interactions against 485K followers, an engagement rate of 0.289%. Measured over 20 original posts, its engagement rate beats 86% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 98K times each, and 1.42% of those impressions turn into an interaction. That is about 20.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 19:00 UTC, and Thursday is the busiest day of the week. Of the 20 posts sampled, 80% carry an image or video, 10% are part of a thread and 15% link out. The account's strongest tracked post pulled 17K interactions, about 12x its own typical post. Recurring topics include #rdc, #robloxdev, #robloxㅤ.

What is John Shedletsky's engagement rate on X?
John Shedletsky (@Shedletsky) has an engagement rate of 0.289%, based on the median interactions across 20 original posts from the last 30 days against 484,895 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.289%, John Shedletsky sits above the 50th percentile of the 204,491 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 @Shedletsky have real engagement?
Its engagement rate beats 86% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the top 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 @Shedletsky post?
Most posts go out around 19:00 UTC, and Thursday is its busiest day, at roughly 1.53 posts per day across the measured window.

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