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Dean W. Perkins engagement report

@deanwperkins - 212K followers on X

Measured over 26 original posts from a 30-day window, last computed on October 12, 2026.

Engagement

Top quarter for its size
Per follower
0.248%
of 212K followers
Per impression
0.789%
63K views on a typical post
Reach
31.4%
of its followers see a post
Typical post
500
interactions (median)
Saved
0.995%
630 bookmarks on a typical post
Posting rate
2.53/day
active 53% of days
Peak time
10:00 UTC
Thursday

A typical post picks up 500 interactions against 212K followers, an engagement rate of 0.248%. Measured over 26 original posts, its engagement rate beats 75% of 19,932 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 63K times each, and 0.789% of those impressions turn into an interaction. That is about 29.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.5 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 10:00 UTC, and Thursday is the busiest day of the week. Of the 26 posts sampled, 88% carry an image or video, 23% are part of a thread and 15% link out. The account's strongest tracked post pulled 16K interactions, about 32x its own typical post.

Measured over 26 original posts from a 30-day window, last computed on October 12, 2026.

Compared with accounts its own size

Dean W. Perkins's engagement rate beats 75% of the tracked X accounts closest to it in follower count (19,932 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 37% 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 0.248%, Dean W. Perkins sits above the 50th percentile of the 201,005 accounts in this comparison. That places it in the above the median band, which runs 0.141% to 0.671%.

p100.004%
p250.024%
p50 (median)0.141%
p750.671%
p902.53%
p9982.4%
Engagement rate as a share of followers, across the 201,005 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,901 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 percentile0.141%
75th percentile0.671%
90th percentile2.53%
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 10:00 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: 10:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 10:00 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 video88% of posts+111%+108% to +115%34K
Outbound link15% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 88% 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 625 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

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  • Sep 2, 202628x their median

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  • Sep 12, 202616x their median

    Anthropic just released a 37-minute guide on how to build AI agents that can automate an entire business. It’s free, and it comes straight from the engineers who built Claude. Agents that actually work, delegate tasks, and get things done on their own. Save this post 🔖 https://t.co/cUivoVVk9d

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  • Sep 14, 202613x their median

    🚨 Google's former CEO just came out and revealed the secret that will reshape the world over the next few years, all because of AI. He said building wealth and your own business is now way easier, with one condition: you have to get into this field and actually understand the game. If you only have the next 30 days to start, act on this advice and go all in, here's the full roadmap and every tool you'll need from scratch, all 100% free: Phase 1: Understand the architecture and the fundamentals Agent Architecture: learn how to build a smart, independent AI agent that makes its own decisions and carries them out. 🔗 https://t.co/bw0DVMjRhI 🔗 https://t.co/rsUiBuJXhz Claude Code 101 Course: the basics of using Anthropic's insanely powerful coding tool right from your Terminal. 🔗 https://t.co/CWRrIyL2Ss Hands-on (Claude Code in Action): live demos of the tool building real projects, so you can see what it can do for yourself. 🔗 https://t.co/Jt6oAwWuhX Phase 2: Master prompting and context Prompt Engineering (official): Anthropic's official guide to writing pro-level prompts that get the best quality out of the model. 🔗 https://t.co/MQGiYMMEpf Interactive Prompting Course: hands-on, interactive training on GitHub to sharpen your prompting skills. 🔗 https://t.co/ylgRsU2vxD CLAUDE.md and memory: the secret that makes Claude remember your project's full context and rules, and never forget them over time. 🔗 https://t.co/ecFCq0wAxa Phase 3: Automation and connecting to the real world MCP Protocol: the real revolution. Connect Claude to the tools and databases you use every day, like Slack, GitHub and Google. 🔗 https://t.co/Qo0Qms6F6L Skills: teach Claude repetitive workflows and custom functions so it can reuse them intelligently across your project. 🔗 https://t.co/AFp1dhn2IC Phase 4: Community guides and going pro The Complete Claude Code Guide: a massive open-source guide from the developer community, packed with secrets and tricks. 🔗 https://t.co/8cBSriTOI6 Awesome Claude Code: a legendary collection of the best ready-to-use scripts, Skills and plugins. 🔗 https://t.co/uFA90eiVPv Anthropic Academy: all 13 of the company's official courses, with certificates, completely free. 🔗 https://t.co/dxLUECXFPA Full official documentation: the complete, definitive reference for everything in Claude, big and small. 🔗 https://t.co/UPWMAKxHVS Save this and turn on the notis for more 🛎️ All of these resources are COMPLETELY free and won't cost you a single dollar, but they'll give you a skill that lets you do the work of an entire team on your own, at the same quality.

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  • Sep 8, 20268.0x their median

    Anthropic just released a complete guide to building your first AI agent. If I’d had this a year ago, I could’ve built my first agent in an hour The fastest path from zero to a fully functional agent Save this, you’ll thank me later https://t.co/UuqApHhAEJ

    3.6K321265608K viewsView on X
  • Sep 15, 20267.3x their median

    Stanford acaba de filtrar esta clase gratuita que explica cómo funcionan Claude y ChatGPT desde el interior La mayoría desperdicia el 90% de su potencial Stanford te lo enseña en 1 hora y 50 minutos Guarda esto en favoritos para que no lo pierdas. https://t.co/9DfIlLP0eS

    3.0K623346363K viewsView on X
  • Sep 6, 20265.1x their median

    Found this website with over 10,000 prompts and tons of options for Claude, ChatGPT and Nano Banana. Organized by use cases, professions and much more. And the best part it's completely free. (link in comments) https://t.co/hbW72ifnzt

    2.3K248304391K viewsView on X
  • Oct 11, 20264.4x their median

    This guy shows you in 22 minutes how to learn to create videos automatically with Claude Code https://t.co/jEtJiVLxDN

    2.0K178196223K 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 500 interactions against 212K followers, an engagement rate of 0.248%. Measured over 26 original posts, its engagement rate beats 75% of 19,932 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 63K times each, and 0.789% of those impressions turn into an interaction. That is about 29.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.5 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 10:00 UTC, and Thursday is the busiest day of the week. Of the 26 posts sampled, 88% carry an image or video, 23% are part of a thread and 15% link out. The account's strongest tracked post pulled 16K interactions, about 32x its own typical post.

What is Dean W. Perkins's engagement rate on X?
Dean W. Perkins (@deanwperkins) has an engagement rate of 0.248%, based on the median interactions across 26 original posts from the last 30 days against 212,447 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.248%, Dean W. Perkins sits above the 50th percentile of the 201,005 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 @deanwperkins have real engagement?
Its engagement rate beats 75% of the tracked X accounts closest to it in follower count (19,932 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 @deanwperkins post?
Most posts go out around 10:00 UTC, and Thursday is its busiest day, at roughly 2.53 posts per day across the measured window.

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