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John Hammond engagement report

@_JohnHammond - 326K followers on X

Measured over 10 original posts from a 30-day window, last computed on September 4, 2026.

Engagement

Middle of its size range
Per follower
0.055%
of 326K followers
Per impression
0.69%
26K views on a typical post
Reach
7.99%
of its followers see a post
Typical post
178
interactions (median)
Saved
0.11%
28 bookmarks on a typical post
Posting rate
0.7/day
active 33% of days
Peak time
15:00 UTC
Thursday

A typical post picks up 178 interactions against 326K followers, an engagement rate of 0.055%. Measured over 10 original posts, its engagement rate beats 54% 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 26K times each, and 0.69% of those impressions turn into an interaction. That is about 7.94% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.7 post a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 15:00 UTC, and Thursday is the busiest day of the week. Of the 10 posts sampled, 40% carry an image or video, 10% are part of a thread and 40% link out. The account's strongest tracked post pulled 2.3K interactions, about 13x its own typical post.

Measured over 10 original posts from a 30-day window, last computed on September 4, 2026.

Compared with accounts its own size

John Hammond's engagement rate beats 54% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 8 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 38% 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 0.055%, John Hammond 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 15:00 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 15:00 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 video40% of posts+111%+108% to +115%34K
Outbound link40% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 40% 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.
  • 40% 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 129 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, 202613x their median

    🧵 Here's how a TeamPCP hacker got doxxed. https://t.co/dROqiUL7BZ

    2.0K2564138225K viewsView on X
  • Aug 13, 20264.2x their median

    ✅ I acknowledge I have read and understood the information presented https://t.co/XbzpDKRVh4

    6714135661K viewsView on X
  • Jul 4, 20263.8x their median

    the vibe continues https://t.co/X0b0AHQ9hm

    64018142969K viewsView on X
  • Aug 27, 20263.4x their median

    The hacker behind TeamPCP was deanonymized and arrested. After a year of headline-making breaches and wild supply-chain attacks, taunting and teasing victims all the while... it turns out another kitty-cat profile picture was the thread that unraveled his identity. I walk through the full investigation in a video demo, breaking the story alongside the team that unmasked the cybercriminal: https://t.co/xG9Yz94Gs2

    49082221681K viewsView on X
  • Aug 14, 20262.6x their median

    Saw the new Spider-Man movie last night and got inspired when Peter entered his apartment and his computer said hello so now I have Codex automatically activate real-time voice mode and greet me aloud when I walk into my office 😩

    4121230428K viewsView on X
  • Jul 18, 2026

    Downloading Minecraft mods and accidentally infecting the family computer with malware is a male cannon event

    193118433K viewsView on X
  • Sep 3, 2026

    robots died for now

    173715223K viewsView on X
  • Aug 5, 2026

    vegas week fomo 😩

    133320444K viewsView on X
  • Aug 28, 2026

    Been burning the midnight oil a lot this week to chase things -- latest escapade has been digging into PaperCut CVE-2026-81578 and CVE-2026-82078, pre-auth RCE. I recreated a PoC, coordinated with PaperCut, and we saw in-the-wild exploitation. More soon. https://t.co/aBN3Rmy4s4

    127226216K viewsView on X
  • Jun 29, 2026

    good morning internet

    110032016K 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 178 interactions against 326K followers, an engagement rate of 0.055%. Measured over 10 original posts, its engagement rate beats 54% 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 26K times each, and 0.69% of those impressions turn into an interaction. That is about 7.94% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.7 post a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 15:00 UTC, and Thursday is the busiest day of the week. Of the 10 posts sampled, 40% carry an image or video, 10% are part of a thread and 40% link out. The account's strongest tracked post pulled 2.3K interactions, about 13x its own typical post.

What is John Hammond's engagement rate on X?
John Hammond (@_JohnHammond) has an engagement rate of 0.055%, based on the median interactions across 10 original posts from the last 30 days against 325,660 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.055%, John Hammond 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 @_JohnHammond have real engagement?
Its engagement rate beats 54% 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 @_JohnHammond post?
Most posts go out around 15:00 UTC, and Thursday is its busiest day, at roughly 0.7 posts per day across the measured window.

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