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Danny Thompson engagement report

@DThompsonDev - 301K followers on X

Measured over 11 original posts from a 30-day window, last computed on September 5, 2026.

Engagement

Middle of its size range
Per follower
0.029%
of 301K followers
Per impression
1.10%
7.8K views on a typical post
Reach
2.60%
of its followers see a post
Typical post
86
interactions (median)
Saved
0.025%
2 bookmarks on a typical post
Posting rate
1.4/day
active 33% of days
Peak time
03:00 UTC
Friday

A typical post picks up 86 interactions against 301K followers, an engagement rate of 0.029%. Measured over 11 original posts, its engagement rate beats 40% of 6,493 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 7.8K times each, and 1.10% of those impressions turn into an interaction. That is about 2.60% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 03:00 UTC, and Friday is the busiest day of the week. Of the 11 posts sampled, 82% carry an image or video and 9% link out. The account's strongest tracked post pulled 461 interactions, about 5.4x its own typical post. Recurring topics include #cyc26, #cyc2026.

Measured over 11 original posts from a 30-day window, last computed on September 5, 2026. Recurring tags: #cyc26, #cyc2026.

Compared with accounts its own size

Danny Thompson's engagement rate beats 40% of the tracked X accounts closest to it in follower count (6,493 accounts, accounts of similar size (decile 7 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 49% 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 0.029%, Danny Thompson sits above the 25th percentile of the 65,864 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%
p99120.1%
Engagement rate as a share of followers, across the 65,864 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 57,191 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 percentile120.1%

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 03:00 UTC, and Friday 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: 03:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 03:00 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video82% of posts+111%+108% to +115%34K
Outbound link9% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 82% 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.
  • 9% 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 246 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

  • May 2, 20265.4x their median

    I JUST RECEIVED THE FINAL VERSION OF THE BOOK!🥹 We poured EVERYTHING into this book. Many books focus on AI from the perspective of the highest levels of education but what about the average corporate dev that wants to stay ahead & do well at their jobs? We wrote this for you! https://t.co/fVvUIDFNEl

    39822374197K viewsView on X
  • Aug 28, 20262.6x their median

    Everything You Need To Know About Going To Commit Your Code 2026! https://t.co/xzJtAFnoXo

    2029115298K viewsView on X
  • Sep 4, 2026

    “The food was incredible.” Multiple people told me it was the best conference food they’ve ever had at a tech conference. That genuinely means a lot to me 🥹 At Commit Your Code, We wanted every detail to make people feel like they were worth showing up for! #CYC26 https://t.co/QTzRCQintR

    1071517.8K viewsView on X
  • Sep 5, 2026

    I sat with what I consider the heads of technical developer education and said "No one gets up until we think of some amazing things to do for developers in the next 90 Days." Each one has a plan to make an impact for software developers. I want you to watch them cook!!! https://t.co/ajNidHU05o

    945506.3K viewsView on X
  • Sep 4, 2026

    THE HOUSE WAS PACKED Y'ALL! This year's Commit Your Code Conference has been incredible! Thank y'all for making this year an amazing one! #cyc26 https://t.co/hmNondhAI0

    875309.2K viewsView on X
  • Sep 1, 2026

    Just sold the 1000th ticket for #CYC26 Y'all! The flex isn’t that 1,000 people bought a ticket. It’s that 1,000 people believe this is a room WORTH BEING IN. To every company sending engineers: thank you for investing in them We filled the room. Now let’s make the room matter! https://t.co/IrqGRKC4Vi

    6611648.3K viewsView on X
  • Aug 31, 2026

    The biggest AI problem inside most companies isn't adoption anymore. It's that they cannot reliably distinguish usage from proficiency, proficiency from performance, or performance from actual value.

    709529.4K viewsView on X
  • Sep 3, 2026

    Day[0] of The Commit Your Code Conference We took over a pickleball facility, we set up the venue and it looks great, and we took over The Truck Yard and their museum of toilet seats! 😂 The venues were great but what made the experience tonight were the people in them! #cyc26 https://t.co/RTOTk7l37E

    686317.3K viewsView on X
  • Aug 30, 2026

    We have 10 tickets left for #CYC26 and then we are officially sold out y'all! I can't believe we are here! It's going to be a busy dang week! - 28.5% of current attendees are at a Staff level or above to CEO - 29% Are senior devs - 7% are students - 54% are traveling to Dallas! https://t.co/fH87TlURfq

    515507.4K viewsView on X
  • Sep 1, 2026

    Am I going to see you this week at The Commit Your Code Conference for Charity? Third CYC Ever! What are we going to geek out about together? #CYC26

    302419.7K 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

#cyc26#cyc2026

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 86 interactions against 301K followers, an engagement rate of 0.029%. Measured over 11 original posts, its engagement rate beats 40% of 6,493 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 7.8K times each, and 1.10% of those impressions turn into an interaction. That is about 2.60% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 03:00 UTC, and Friday is the busiest day of the week. Of the 11 posts sampled, 82% carry an image or video and 9% link out. The account's strongest tracked post pulled 461 interactions, about 5.4x its own typical post. Recurring topics include #cyc26, #cyc2026.

What is Danny Thompson's engagement rate on X?
Danny Thompson (@DThompsonDev) has an engagement rate of 0.029%, based on the median interactions across 11 original posts from the last 30 days against 300,757 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.029%, Danny Thompson sits above the 25th percentile of the 65,864 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 @DThompsonDev have real engagement?
Its engagement rate beats 40% of the tracked X accounts closest to it in follower count (6,493 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 @DThompsonDev post?
Most posts go out around 03:00 UTC, and Friday is its busiest day, at roughly 1.4 posts per day across the measured window.

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