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
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%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.003% |
| 25th percentile | 0.022% |
| 50th percentile | 0.128% |
| 75th percentile | 0.604% |
| 90th percentile | 2.32% |
| 99th percentile | 83.4% |
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.
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 | 70% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 40% 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
- Sep 30, 20262.9x their median
it's gonna be a movie 🔥 https://t.co/ao7nw0QRbD
- 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
- 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
- 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
- Sep 30, 2026
New: AAIF merch. Ship agents, also ship t-shirts. 🧢👕 https://t.co/AfbZHgqXoq https://t.co/LUWG6kLKb5
- 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
- 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.
- 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
- Oct 8, 2026
do AI agents need a runtime? something like node but for agents? @jpschroeder says we do https://t.co/JbnIKBrdoD
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 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.