ₕₐₘₚₜₒₙ engagement report
@hamptonism - 226K followers on X
Measured over 46 original posts from a 30-day window, last computed on October 1, 2026.
Engagement
A typical post picks up 76 interactions against 226K followers, an engagement rate of 0.033%. Measured over 46 original posts, its engagement rate beats 40% of 21,185 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 6.9K times each, and 1.09% of those impressions turn into an interaction. That is about 3.08% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.2 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 13:00 UTC, and Friday is the busiest day of the week. Of the 46 posts sampled, 54% carry an image or video and 7% link out. The account's strongest tracked post pulled 48K interactions, about 636x its own typical post.
Measured over 46 original posts from a 30-day window, last computed on October 1, 2026.
Compared with accounts its own size
ₕₐₘₚₜₒₙ's engagement rate beats 40% of the tracked X accounts closest to it in follower count (21,185 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 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 0.033%, ₕₐₘₚₜₒₙ sits above the 25th percentile of the 211,975 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.146%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.146% |
| 75th percentile | 0.694% |
| 90th percentile | 2.61% |
| 99th percentile | 83.1% |
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 13:00 UTC, and Friday 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 | 54% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 7% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 54% 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.
- 7% 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 190 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.
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 11, 2026636x their median
iPhone Duo、まさかの外側ディスプレイがマグネット仕様! あとこのケースめちゃくちゃいいぞ… https://t.co/rg7E85PKWt
- Sep 9, 2026147x their median
If you’re wondering what $20M looks like btw: https://t.co/Y7gCcZySms
- Sep 11, 2026126x their median
Pokémon Center Tokyo (2008) https://t.co/aLIBkWp1Vr
- Sep 8, 202684x their median
You can literally see the moment her brain begins to shut down from the fact Nathan knows something she doesn’t. https://t.co/U40OmFODNq
- Sep 29, 202644x their median
for ten years every single peter thiel controversy has just been peter saying something actually interesting, propelled into virality by a mob of his most ardent haters who are either 1) responding to it out of context, or 2) genuinely too stupid to understand his point
- Sep 10, 202622x their median
Immediately after the Jacob/Anthropic tweet thread went viral, when it was at around 2m impressions, I screen recorded the first subtweeters as the diffusion/ propagation of the visit was obviously sync’d. I was certain, and said so at the time that the tweets were very highly suspect and bs. To do some light forensics, these days, as X cut off a lot of the tools/API I knew I had to catch the data in real time. I have , thru a shop I’m an investor in, the full x firehose, but whatever. Anyhoo, with this stuff it’s called ‘Graph Neural Networks’ = GNN It’s a graph of nodes that operate on graphs where nodes are connected by edges. A. Node (or a vertice) is a a network of users, the subtweeters B. edges are the relationships/interactions between them This is ‘neighborhood aggregation’ What you’re looking for, in the way I simplistically did it sans tools, is to look thru thr assorted influencers and subtweeters and see if their engagement is abnormal / too high And then also look for those accounts use of bots and inauthentic behavior Anyhoo
- Oct 1, 20269.5x their median
🇯🇵 Tokyo has recorded rain for 36 consecutive days, the longest streak since records began in 1876. Aug 27: 🌧️ Aug 28: 🌧️ Aug 29: 🌧️ Aug 30: 🌧️ Aug 31: 🌧️ Sep 1: 🌧️ Sep 2: 🌧️ Sep 3: 🌧️ Sep 4: 🌧️ Sep 5: 🌧️ Sep 6: 🌧️ Sep 7: 🌧️ Sep 8: 🌧️ Sep 9: 🌧️ Sep 10: 🌧️ Sep 11: 🌧️ Sep 12: 🌧️ Sep 13: 🌧️ Sep 14: 🌧️ Sep 15: 🌧️ Sep 16: 🌧️ Sep 17: 🌧️ Sep 18: 🌧️ Sep 19: 🌧️ Sep 20: 🌧️ Sep 21: 🌧️ Sep 22: 🌧️ Sep 23: 🌧️ Sep 24: 🌧️ Sep 25: 🌧️ Sep 26: 🌧️ Sep 27: 🌧️ Sep 28: 🌧️ Sep 29: 🌧️ Sep 30: 🌧️ Oct 1: 🌧️
- Sep 10, 20264.9x their median
https://t.co/K0arUFIa7W
- Sep 30, 20264.0x their median
i’m at a point in my life where i find this sexy. https://t.co/XyZipZE65I
- Sep 30, 20264.0x their median
yea something is just not adding up… https://t.co/nIEvV8hmYL
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 76 interactions against 226K followers, an engagement rate of 0.033%. Measured over 46 original posts, its engagement rate beats 40% of 21,185 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 6.9K times each, and 1.09% of those impressions turn into an interaction. That is about 3.08% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.2 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 13:00 UTC, and Friday is the busiest day of the week. Of the 46 posts sampled, 54% carry an image or video and 7% link out. The account's strongest tracked post pulled 48K interactions, about 636x its own typical post.
- What is ₕₐₘₚₜₒₙ's engagement rate on X?
- ₕₐₘₚₜₒₙ (@hamptonism) has an engagement rate of 0.033%, based on the median interactions across 46 original posts from the last 30 days against 225,668 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.033%, ₕₐₘₚₜₒₙ sits above the 25th percentile of the 211,975 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 @hamptonism have real engagement?
- Its engagement rate beats 40% of the tracked X accounts closest to it in follower count (21,185 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 @hamptonism post?
- Most posts go out around 13:00 UTC, and Friday is its busiest day, at roughly 4.2 posts per day across the measured window.