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Khairallah AL-Awady engagement report

@eng_khairallah1 - 80K followers on X

Measured over 6 original posts from a 30-day window, last computed on October 14, 2026.

Engagement

Per follower
0.193%
of 80K followers
Per impression
0.276%
55K views on a typical post
Reach
69.9%
of its followers see a post
Typical post
153
interactions (median)
Saved
0.228%
126 bookmarks on a typical post
Posting rate
1.43/day
active 30% of days
Peak time
09:00 UTC
Sunday

Early reading. We have captured 6 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 153 interactions against 80K followers, an engagement rate of 0.193%. Posts are seen about 55K times each, and 0.276% of those impressions turn into an interaction. That is about 69.3% 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 30% of days saw any activity at all. Most posts go out around 09:00 UTC, and Sunday is the busiest day of the week. Of the 6 posts sampled, 33% carry an image or video and 83% link out. The account's strongest tracked post pulled 1.0K interactions, about 6.8x its own typical post. Only 6 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 6 original posts from a 30-day window, last computed on October 14, 2026.

Where this sits in the catalog

At 0.193%, Khairallah AL-Awady sits above the 50th percentile of the 205,782 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.679%.

p100.004%
p250.024%
p50 (median)0.143%
p750.679%
p902.56%
p9982.4%
Engagement rate as a share of followers, across the 205,782 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,893 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 percentile0.143%
75th percentile0.679%
90th percentile2.56%
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 09:00 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.

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: 09:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 09:00 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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
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 video33% of posts+111%+108% to +115%34K
Outbound link83% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 33% 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.
  • 83% 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 486 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

  • Sep 8, 20266.8x their median

    GPT-Image 2.5 Sunburst & Flare are live on Higgsfield 🧩 OpenAI's SOTA image model, now with flawless text rendering, advanced context understanding and shaper product detailing. Now live on Higgsfield. https://t.co/ePnY35AqfR

    863864451499K viewsView on X
  • Sep 29, 20263.1x their median

    Claude Opus 5.5 isn't just for chatting. Builders are using it to run teams of AI agents, write content, review and make real money. Here's how to build your first team from scratch. https://t.co/0yssII21AE

    38445356733K viewsView on X
  • Aug 25, 20262.4x their median

    https://t.co/LYtshEnIC0

    276404172.4M viewsView on X
  • Oct 11, 20262.0x their median

    Opus 5.5 is godmode for building your own 24/7 AI trading desk. 1M token context. reads every headline on your watchlist overnight. I built a 24/7 trading system on Opus 5.5 set it up correctly and your desk never stops watching the market https://t.co/rflxlFnfel

    23049284311K viewsView on X
  • Oct 11, 2026

    this changes what AI video can even be $0.003 per second of AI video. that's not a typo. for the price of ONE Seedance 2.5 video, you can generate almost 80 W1 videos of the same length. and here's the part that makes it insane: it's not slower and it's not lower quality. an 8 second video generates in about 8 seconds, at quality comparable to the top models. cheaper, fast, and good. usually you pick two. @VivixLabs_HQ just brought all three together. but the price isn't even the real story. W1 is a real-time interactive video model. video that generates as an experience unfolds, so you can interact with what happens next. real-time means it keeps generating the whole time someone's using it. longer sessions, more users, more video, more cost. that only works if every second is cheap. $0.003/sec is what finally makes interactive video practical to actually run. i want to make a scene where even i don't know how it ends. honestly, giving up that control sounds fun. (real-time is live via the API now, browser tools coming soon) https://t.co/XJYSg0jDR3 save this.

    1602812330K viewsView on X
  • Aug 29, 2026

    Grok Bot is the most powerful AI agent I've ever used. Learn to use it correctly, and you'll have agent swarms working for you 24/7. This article teaches you everything you need to know and how to run your entire team of AI Agents with it. https://t.co/WZWYLNgyh4

    14720137238K viewsView on X
  • Sep 5, 2026

    https://t.co/b1N1ODkT4a

    11219114439K viewsView on X
  • Oct 12, 2026

    https://t.co/ExCmLiD02o

    8176953K viewsView on X
  • Oct 13, 2026

    if you want to build a 24/7 trading system with Grok Bot, start with this article you will end up with a millisecond trading engine, hard risk limits and a bot that watches it while you sleep https://t.co/kf0vdttUW2

    52913157K viewsView on X
  • Oct 14, 2026

    Read this if you make videos with Claude. I built a skill that cut my QA cost on this video from $127 to 16 cents. It was made with Claude in Remotion. It's called SageCut. It swaps the LLM out of frame-by-frame QA and uses a multimodal decision model, Sage (@levantolabs), instead. I'm the only video guy at Levanto. I run 3 Claude plans and have been making Remotion videos since early this year, with BlenderMCP in the mix, so the output is pro-grade with very little babysitting. The problem: it burned through my Max plan, and a video could take 2 days. When I dug into the workflow, the reason was that Claude subagents were reviewing every single frame. That cost a ton and added 4+ hours per video. SageCut hands that step to Sage. Sage is great at spotting defective frames, and only those get passed to Opus 5.5 to fix. Across 6 A/B tests the output was exactly the same, at 1/10 the QA cost and 1/4 the QA time. On this video, Sage read all 3,153 frames for 16 cents. If you make Remotion videos, try it. The link to skill is below. How long does a Remotion video take you right now with Claude?

    26612164.0K 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 153 interactions against 80K followers, an engagement rate of 0.193%. Posts are seen about 55K times each, and 0.276% of those impressions turn into an interaction. That is about 69.3% 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 30% of days saw any activity at all. Most posts go out around 09:00 UTC, and Sunday is the busiest day of the week. Of the 6 posts sampled, 33% carry an image or video and 83% link out. The account's strongest tracked post pulled 1.0K interactions, about 6.8x its own typical post. Only 6 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is Khairallah AL-Awady's engagement rate on X?
Khairallah AL-Awady (@eng_khairallah1) has an engagement rate of 0.193%, based on the median interactions across 6 original posts from the last 30 days against 79,969 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.193%, Khairallah AL-Awady sits above the 50th percentile of the 205,782 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 @eng_khairallah1 have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @eng_khairallah1 post?
Most posts go out around 09:00 UTC, and Sunday is its busiest day, at roughly 1.43 posts per day across the measured window.

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