Danny Thompson engagement report
@DThompsonDev - 301K followers on X
Measured over 24 original posts from a 30-day window, last computed on October 18, 2026.
Engagement
A typical post picks up 73 interactions against 301K followers, an engagement rate of 0.024%. Measured over 24 original posts, its engagement rate beats 35% of 20,183 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 9.3K times each, and 0.783% of those impressions turn into an interaction. That is about 3.10% 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, with activity on roughly 73% of days. Most posts go out around 13:00 UTC, and Sunday is the busiest day of the week. Of the 24 posts sampled, 54% carry an image or video and 8% are part of a thread. The account's strongest tracked post pulled 472 interactions, about 6.5x its own typical post. Recurring topics include #devcareers, #java.
Measured over 24 original posts from a 30-day window, last computed on October 18, 2026. Recurring tags: #devcareers, #java.
Compared with accounts its own size
Danny Thompson's engagement rate beats 35% of the tracked X accounts closest to it in follower count (20,183 accounts, accounts of similar size (decile 9 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 36% 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 0.024%, Danny Thompson sits above the 25th percentile of the 204,424 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.677% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 13:00 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 54% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 0% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 54% 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 427 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above 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
- May 2, 20266.5x 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
- Oct 2, 20263.2x their median
You can literally change the trajectory of your life in 90 Days. Lucky for you, there are 91 days left in the rest of 2026. You got an extra day to make something big happen before 2027 starts.
- Aug 28, 20263.1x their median
Everything You Need To Know About Going To Commit Your Code 2026! https://t.co/xzJtAFnoXo
- Sep 30, 20262.9x their median
If you are job searching in the U.S. and using AI for everything, forgetting DSA is going to be one of your biggest mistakes. Regardless of how hype social media is, MANY companies are still using Data Structures and Algorithms based challenges to qualify candidates.
- Oct 17, 20262.3x their median
One of the biggest mistakes developers are making in the 2026 job market is confusing a finished project with proof of engineering ability. Y'all need to understand something: Nobody is hiring you because your portfolio has a cool application. They ARE hiring you because of the engineering conversations that application allows you to have. Think about two candidates walking into an interview with the exact same AI-powered project. - Candidate #1 explains what the application does, which AI tools they used, and shows off the features. - Candidate #2 explains WHY they designed it the way they did. Where they used deterministic logic instead of AI. How they handle unreliable model outputs. What happens when the system fails. What tradeoffs they made and WHY. Same exact project. Two completely different interviews. One demonstrated that they could produce software. The other demonstrated that they understood how to engineer it. And this is why I keep pushing developers to understand the decisions they're generating with AI. I don't really care if AI wrote 100% of your code. But if you can't explain the architectural decisions, defend your tradeoffs, or identify where things could go wrong, you've missed one of the biggest opportunities that project was supposed to give you. AI lowered the barrier to building software. It did NOT lower the bar for understanding it and making the right decisions. We got into this on the latest episode of The Programming Podcast because I think developers need to fundamentally rethink what they're trying to accomplish with portfolio projects. #code #coding #programming #softwareengineering
- Sep 5, 20262.0x their median
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
- Oct 9, 20262.0x their median
5 am and the only person in the gym. Even though I'm in Amsterdam for Team 26 Europe, the workouts haven't stopped! Locked in and determined to get healthier 😤 https://t.co/xZg9dW9jMn
- Sep 5, 20261.9x their median
When Fable 5.1 came out, I thought that would be the model that would finally make me good enough. I was wrong. Because now GPT-6 Astra exists. And I know what you're thinking: "Danny, surely this is just another model." No. This is THE model. Once I get access to Astra, I won't just be Danny Thompson. No no... I'll be Danny Thompson with Astra and then I'll finally be enough. I'll finally stop opening benchmark charts at 1:00 AM. I'll stop convincing myself that the only thing standing between me and greatness is 3% better tool calling. I'll stop reorganizing my entire workflow every time somebody posts a new model card. Because I'll have Astra. And I will be complete. Of course, six weeks from now somebody will release another model. And I will immediately realize that Astra was actually the thing holding me back.
- Sep 6, 20261.9x their median
Should we actually do CYC27? We can't commit to it yet because we don't have the funds to lock down a venue yet. So if we do this, we have to get sponsorship to lock a venue down before we can consider dates.
- Sep 12, 20261.8x their median
You have no control over whether someone offers you a job. But you DO HAVE control over whether your name comes up when someone says, “Do you know anyone good?”
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
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 73 interactions against 301K followers, an engagement rate of 0.024%. Measured over 24 original posts, its engagement rate beats 35% of 20,183 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 9.3K times each, and 0.783% of those impressions turn into an interaction. That is about 3.10% 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, with activity on roughly 73% of days. Most posts go out around 13:00 UTC, and Sunday is the busiest day of the week. Of the 24 posts sampled, 54% carry an image or video and 8% are part of a thread. The account's strongest tracked post pulled 472 interactions, about 6.5x its own typical post. Recurring topics include #devcareers, #java.
- What is Danny Thompson's engagement rate on X?
- Danny Thompson (@DThompsonDev) has an engagement rate of 0.024%, based on the median interactions across 24 original posts from the last 30 days against 301,020 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.024%, Danny Thompson sits above the 25th percentile of the 204,424 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 35% of the tracked X accounts closest to it in follower count (20,183 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 13:00 UTC, and Sunday is its busiest day, at roughly 1.37 posts per day across the measured window.