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Hassan engagement report

@nutlope - 101K followers on X

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

Engagement

Middle of its size range
Per follower
0.341%
of 101K followers
Per impression
1.16%
30K views on a typical post
Reach
29.3%
of its followers see a post
Typical post
344
interactions (median)
Saved
0.632%
187 bookmarks on a typical post
Posting rate
0.8/day
active 53% of days
Peak time
15:00 UTC
Wednesday

A typical post picks up 344 interactions against 101K followers, an engagement rate of 0.341%. Measured over 12 original posts, its engagement rate beats 73% of 15,519 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 30K times each, and 1.16% of those impressions turn into an interaction. That is about 29.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.8 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 15:00 UTC, and Wednesday is the busiest day of the week. Of the 12 posts sampled, 83% carry an image or video, 17% are part of a thread and 25% link out. The account's strongest tracked post pulled 37K interactions, about 109x its own typical post.

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

Compared with accounts its own size

Hassan's engagement rate beats 73% of the tracked X accounts closest to it in follower count (15,519 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 45% 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 0.341%, Hassan sits above the 50th percentile of the 157,374 accounts in this comparison. That places it in the above the median band, which runs 0.128% to 0.604%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.4%
Engagement rate as a share of followers, across the 157,374 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,055 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 percentile0.003%
25th percentile0.022%
50th percentile0.128%
75th percentile0.604%
90th percentile2.32%
99th percentile83.4%

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 15:00 UTC, and Wednesday 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video83% of posts+111%+108% to +115%34K
Outbound link25% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 83% 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.
  • 25% 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 418 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

  • Jul 31, 2026109x their median

    🚀 DeepSeek-V4-Flash Official API is now LIVE in public beta! 🔷 We’ve massively upgraded its Agent capabilities—benchmark scores are now far surpassing the V4-Pro-Preview. Check out the massive performance leap below! 👇 🔷 The official V4-Flash now natively supports the Responses API format and is fully adapted for Codex! Check out the configuration details in our official API docs: https://t.co/smCwQZMeiq

    30K3.5K1.7K2.2K9.6M viewsView on X
  • Aug 14, 202671x their median

    Introducing GLM-5.3: Built to Code. Ready for Cyber Defense. - Top-tier coding and agentic capabilities, achieved through post-training on the 743B base model - A major leap in cybersecurity, setting a new standard among open models Tech Blog: https://t.co/ekQkO83jCv https://t.co/y3Y2AB0wxr

    19K2.4K9501.7K5.9M viewsView on X
  • May 8, 202650x their median

    https://t.co/MXt5XS4xBX

    18K2.3K1.1K1.9K15M viewsView on X
  • Jun 16, 202636x their median

    Introducing GLM-5.2: Frontier Intelligence, Open Weights - Significant improvements in coding and agentic tasks - Strong long-horizon capabilities with a 1M context window - Two levels of reasoning effort: GLM-5.2 (max) pushes the limits, while GLM-5.2 (high) strikes a strong balance between performance and token efficiency - MIT-licensed open weights - Same API pricing as GLM-5.1 Tech Blog: https://t.co/LAsxUdN0JZ Weights: https://t.co/g0A1C4UWx4 API: https://t.co/Kc3E22cbN7 Coding Plan: https://t.co/Nk8Y98HNhU Chat: https://t.co/WCqWT0qCQb

    13K1.7K7259577.7M viewsView on X
  • May 19, 202618x their median

    Introducing Hallmark! An open source design skill to make beautiful UIs and landing pages by default. Works in Claude Code, Cursor, and Codex. npx skills add nutlope/hallmark https://t.co/wEZw1ZTjPW

    5.4K45117555849K viewsView on X
  • Jan 28, 20266.0x their median

    Built an app that can generate an entire comic in a few seconds. You can upload your own characters, choose a theme, & build your own comic page by page! 100% free and open source. Launching in 24 hours. https://t.co/9nQroBFXte

    3.5K24323628254K viewsView on X
  • Sep 14, 20268.8x their median

    Introducing Inspo. A design MCP server for Claude Code, Codex, and OpenCode. It searches 800+ beautiful websites and finds relevant design inspiration for your coding agent. Install → npx inspo-mcp install https://t.co/iyw777zrgj

    2.6K20713531410K viewsView on X
  • Oct 23, 20254.2x their median

    Building an agent that can generate an entire interactive course from a PDF/textbook 🤯 The way it works: I have pre-built components (Q&A, drag & match, flowchart, info bubble, ect...) that can be invoked through tool calls. Here's the full workflow: 1. The agent will first parse the material passed in (can either remain in context if small or be embedded if big) 2. Agent will then decide on a good structure for the lesson (will be given a few good examples for reference) 3. Through tool calling, it will be able to select the right components now that it has a lesson structure. It will also pass in the relevant params to the components (like generated questions or content for a flowchart). 4. The finished lesson gets handed off to a Lesson Reviewer agent for a final check against source material 5. Lesson gets created & is able to be sent to others This app will be built with open source LLMs from @togethercompute and will be free & open source! I think this will turn out to be one of my most interesting apps. Let me know if y'all want to see a guide on how I built it as well!

    2.4K17618813275K viewsView on X
  • Aug 19, 20266.6x their median

    Introducing https://t.co/OYwpdBF1b7! I took the top 1k research papers of the last year, summarized them, and visualized them. Fun fact: all 1,000 papers cost a total of $4 to summarize with DeepSeek V4 Flash. https://t.co/8LbCeRTDMs

    2.0K1877612133K viewsView on X
  • Aug 3, 20263.6x their median

    Announcing LogoCreator v2! Create professional logos & brand images in seconds. Free and 100% open source → https://t.co/xDgUtUxjr0 https://t.co/ZL7XXWm5bG

    1.1K8737386K 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 344 interactions against 101K followers, an engagement rate of 0.341%. Measured over 12 original posts, its engagement rate beats 73% of 15,519 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 30K times each, and 1.16% of those impressions turn into an interaction. That is about 29.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.8 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 15:00 UTC, and Wednesday is the busiest day of the week. Of the 12 posts sampled, 83% carry an image or video, 17% are part of a thread and 25% link out. The account's strongest tracked post pulled 37K interactions, about 109x its own typical post.

What is Hassan's engagement rate on X?
Hassan (@nutlope) has an engagement rate of 0.341%, based on the median interactions across 12 original posts from the last 30 days against 101,065 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.341%, Hassan sits above the 50th percentile of the 157,374 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 @nutlope have real engagement?
Its engagement rate beats 73% of the tracked X accounts closest to it in follower count (15,519 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 @nutlope post?
Most posts go out around 15:00 UTC, and Wednesday is its busiest day, at roughly 0.8 posts per day across the measured window.

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