Back to @techgirl1908's profile

Angie Jones engagement report

@techgirl1908 - 115K followers on X

Measured over 10 original posts from a 30-day window, last computed on October 8, 2026.

Engagement

Per follower
0.022%
of 115K followers
Per impression
0.708%
3.6K views on a typical post
Reach
3.14%
of its followers see a post
Typical post
26
interactions (median)
Saved
0.042%
2 bookmarks on a typical post
Posting rate
2.1/day
active 27% of days
Peak time
14:00 UTC
Wednesday

A typical post picks up 26 interactions against 115K followers, an engagement rate of 0.022%. Posts are seen about 3.6K times each, and 0.708% of those impressions turn into an interaction. That is about 3.14% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 10 posts sampled, 70% carry an image or video, 20% are part of a thread and 40% link out. The account's strongest tracked post pulled 396 interactions, about 15x its own typical post.

Measured over 10 original posts from a 30-day window, last computed on October 8, 2026.

Where this sits in the catalog

At 0.022%, Angie Jones sits above the 25th percentile of the 157,102 accounts in this comparison. That places it in the below the median band, which runs 0.022% to 0.128%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.4%
Engagement rate as a share of followers, across the 157,102 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,052 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 14:00 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 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 video70% of posts+111%+108% to +115%34K
Outbound link40% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 70% 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.
  • 40% 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 159 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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

  • Oct 1, 202615x their median

    https://t.co/sGbf2IE6q0

    322362216111K viewsView on X
  • Sep 30, 20262.9x their median

    it's gonna be a movie 🔥 https://t.co/ao7nw0QRbD

    5316348.2K viewsView on X
  • Oct 2, 20261.6x their median

    If you haven't explored decision models yet, here's your chance. @johnlindquist's livestream will show Jev in action. This is a great intro before our Mega Dev course where I'll teach you when and where to use decision models when building agents. https://t.co/LmNj4jzdR3

    296513.5K viewsView on X
  • Oct 1, 2026

    ask your agent about AGNTCon + MCPCon in San Jose. Super curious to know which sessions it thinks you should attend. https://t.co/yyLDUq1WI2

    232213.7K viewsView on X
  • Sep 30, 2026

    dang, i was about to post to tell y'all to grab your tickets for MCP Dev Summit Toronto but the team just told me we're sold out!!! Can't wait to see you all and geek out on all things MCP! https://t.co/mKoUFFn8xq

    223012.9K viewsView on X
  • Sep 30, 2026

    New: AAIF merch. Ship agents, also ship t-shirts. 🧢👕 https://t.co/AfbZHgqXoq https://t.co/LUWG6kLKb5

    175124.4K viewsView on X
  • Oct 7, 2026

    I'm throwing a lil lowkey happy hour in SF on Thursday evening. Hit me up if you wanna come hang out

    180103.4K viewsView on X
  • Oct 3, 2026

    Preparing the program for MCP Dev Summit Nairobi and these talk submissions are WOW! Pretty much every single one is focused on some critical real world problem not just "wouldnt it be cool if an agent did this". This is going to be an amazing conference! Looking forward to learning a ton.

    180102.6K viewsView on X
  • Sep 30, 2026

    "it's one thing to verify that your agent didn't produce slop, but it's a completely different thing to make sure that it's not producing slop in the first place" - @kentcdodds 🔴 live today, 8:30 AM PDT / 17:30 CEST 👥 3,400+ already registered! save your spot: https://t.co/6ghLCiQi3a

    82225.4K viewsView on X
  • Oct 8, 2026

    do AI agents need a runtime? something like node but for agents? @jpschroeder says we do https://t.co/JbnIKBrdoD

    1000203 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.

Buy or sell Twitter (X) accounts - escrow-protected

PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.

Reading these numbers

A typical post picks up 26 interactions against 115K followers, an engagement rate of 0.022%. Posts are seen about 3.6K times each, and 0.708% of those impressions turn into an interaction. That is about 3.14% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 10 posts sampled, 70% carry an image or video, 20% are part of a thread and 40% link out. The account's strongest tracked post pulled 396 interactions, about 15x its own typical post.

What is Angie Jones's engagement rate on X?
Angie Jones (@techgirl1908) has an engagement rate of 0.022%, based on the median interactions across 10 original posts from the last 30 days against 114,697 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.022%, Angie Jones sits above the 25th percentile of the 157,102 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 @techgirl1908 have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @techgirl1908 post?
Most posts go out around 14:00 UTC, and Wednesday is its busiest day, at roughly 2.1 posts per day across the measured window.

Keep going