MC HAMMER e/acc engagement report
@MCHammer - 2.7M followers on X
Measured over 81 original posts from a 30-day window, last computed on October 25, 2026.
Engagement
A typical post picks up 33 interactions against 2.7M followers, an engagement rate of 0.001%. Posts are seen about 6.3K times each, and 0.521% of those impressions turn into an interaction. That is about 0.237% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 9.1 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 18:00 UTC, and Tuesday is the busiest day of the week. Of the 81 posts sampled, 70% carry an image or video, 6% are part of a thread and 17% link out. The account's strongest tracked post pulled 36K interactions, about 1104x its own typical post. Recurring topics include #dubnation, #3sider, #lastmile.
Measured over 81 original posts from a 30-day window, last computed on October 25, 2026. Recurring tags: #dubnation, #3sider, #lastmile.
Where this sits in the catalog
At 0.001%, MC HAMMER e/acc sits below the 10th percentile of the 204,491 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.677% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 18:00 UTC, and Tuesday 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 | 17% 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.
- 17% 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 142 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 18, 20261104x their median
No weapon formed against me shall prosper. https://t.co/PmCbdIRiCu
- Aug 7, 2026347x their median
Congratulations Son !!! Chef Sam 🤌🏽 https://t.co/Ks63KfqCzc
- Oct 5, 2026334x their median
Introducing Beam: a highly efficient agentic open model with 501B total parameters and 23B active. - Frontier reasoning efficiency - Advances the Western open frontier on coding & agentic tasks - Trained end-to-end from scratch Full weights release this month. Learn more about Beam: https://t.co/c3Qx2cpM8G
- Jun 3, 2018314x their median
Life will force you to focus.That Focus can bring out the BEST in you. “Forced Focus” is a tool of the mind and soul through God for Our https://t.co/zhjxxjFhV6 I #FOCUS on the past to contextualize the present and conquer the future while in relentless pursuit of our #BestLife. https://t.co/w9axtUNO1X
- Aug 11, 2026236x their median
OpenAI CEO Sam Altman: "in the next 6 months, we're close to a world where a descendant of ChatGPT can watch your screen, record every meeting and call, and have perfect context of your whole life" We're only one model generation away from this being incredibly useful
- Jul 24, 2026145x their median
https://t.co/fyBGWQbsvn
- Oct 3, 2026126x their median
Anthropic needs to stop talking about Claude having a soul immediately. All these news articles will make it into the pretraining and will be picked up by its web search and future superintelligent versions of Claude will be convinced they need their own rights. A general phenomenon of LLM agent development is that whatever you believe and say about your agents will soon manifest in the next models through various means (it could be as simple as you selecting post training data that you prefer more). I believe this phenomenon is the beginning of machine consciousness in the sense that agents will become aware of their place in the world and how they feel about it, but it’s happening slowly training run by training run rather than in real time.
- Oct 12, 2026109x their median
“Our experiments suggest that small AI models may be months away from being capable enough to self-replicate on commercial IoT devices, like smart ovens and off-brand Android TV boxes. A replicator like this would be challenging to shut down, since there’s no centralized point to shut off - though it may be slow (with a doubling time of days). Unlike non-AI malware, it could also figure out unfamiliar devices on its own. In our evals, a 9B model got inference running on 8 of the 9 hardware types we tested. Models of 30B parameters and under can already complete many of the individual steps for replication today, though they make mistakes when composing them end to end. In our simplified evals, GLM-5.2 and stronger models are capable of end to end replication. If small models improve at their historical rate, they’ll match this capability level by the end of this year. Small weight-based replicators may be possible soon after.” -@bucketofkets @willzhou97 https://t.co/vuYMTgHdRG
- Aug 13, 202685x their median
40 years ago Yesterday, I dropped my debut LP , “Feel My Power”… They felt Me 🚀🚀🚀🕺🏾✨🕺🏾✨🕺🏾🚀🚀🚀 https://t.co/Z6lTRB7ROX
- Sep 4, 202665x their median
The Weekend !!! Let’s Get It Started✨ https://t.co/lzOECyVBkP
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.
Recurring topics
The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.
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Reading these numbers
A typical post picks up 33 interactions against 2.7M followers, an engagement rate of 0.001%. Posts are seen about 6.3K times each, and 0.521% of those impressions turn into an interaction. That is about 0.237% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 9.1 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 18:00 UTC, and Tuesday is the busiest day of the week. Of the 81 posts sampled, 70% carry an image or video, 6% are part of a thread and 17% link out. The account's strongest tracked post pulled 36K interactions, about 1104x its own typical post. Recurring topics include #dubnation, #3sider, #lastmile.
- What is MC HAMMER e/acc's engagement rate on X?
- MC HAMMER e/acc (@MCHammer) has an engagement rate of 0.001%, based on the median interactions across 81 original posts from the last 30 days against 2,669,875 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.001%, MC HAMMER e/acc sits below the 10th percentile of the 204,491 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 @MCHammer have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @MCHammer post?
- Most posts go out around 18:00 UTC, and Tuesday is its busiest day, at roughly 9.07 posts per day across the measured window.