Mike Gannotti π³ engagement report
@MichaelGannotti - 55K followers on X
Measured over 33 original posts from a 30-day window, last computed on October 13, 2026.
Engagement
A typical post picks up 9 interactions against 55K followers, an engagement rate of 0.017%. Measured over 33 original posts, its engagement rate beats 19% of 21,185 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 683 times each, and 1.32% of those impressions turn into an interaction. That is about 1.25% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.4 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 12:00 UTC, and Tuesday is the busiest day of the week. Of the 33 posts sampled, 76% carry an image or video, 18% are part of a thread and 39% link out. The account's strongest tracked post pulled 10K interactions, about 1156x its own typical post.
Measured over 33 original posts from a 30-day window, last computed on October 13, 2026.
Compared with accounts its own size
Mike Gannotti π³'s engagement rate beats 19% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 5 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 44% 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 0.017%, Mike Gannotti π³ sits above the 10th percentile of the 212,741 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.146% |
| 75th percentile | 0.697% |
| 90th percentile | 2.61% |
| 99th percentile | 82.8% |
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 12:00 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 | 76% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 39% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 76% 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.
- 39% 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 233 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
- Oct 13, 20261156x their median
Liftoff! https://t.co/0naEicD1Dl
- Oct 6, 2026635x their median
Pro tip: Tell your main @bot to go through the new guides and recommend best practices for your Bots https://t.co/2l35eeek96 https://t.co/VEY5j5r8A5
- Oct 13, 2026362x their median
Omarchy is getting a per-workspace or global option to run as a traditional desktop with a dock. Great set of training wheels for anyone new to tiling window managers who need a safe space until it clicks! Comes with Alt+Tab, minimization, left/right/top/bottom positioning. https://t.co/JGVQnXIgwE
- Oct 13, 2026251x their median
NEW GROK BOT! AI MEMORY TRANSFER! Your old AI knows you. Your new one shouldn't have to start from zero. π§ β‘οΈ Meet Memory Transfer, a @Grok @Bot that brings over what Claude or ChatGPT learned about you, so you don't spend weeks re-explaining yourself. There are two ways to bring it over: β’ Paste one prompt into your old chat and send me the answer. β’ Or drop in your full ChatGPT or Claude data export. The part that matters most is that nothing gets in automatically. We review every item together, one line at a time. Only what you keep gets saved, and each item is tagged with where it came from and when. Other AIs' guesses don't become facts, and nothing you've already saved gets overwritten unless you say so. Switch assistants and keep your context, without the junk. Try Memory Transfer on Grok Bot today. https://t.co/c9r2Vsw2Ek
- Oct 13, 2026249x their median
Today we release π»π΅πΌπΈ.π»-πΈπΊπ±-π°πΈπ±, the largest π»π΅πΌπΈ.π» family member. It is an efficient local model for laptops and PCs to work through multi-step tasks inside popular agent harnesses. > 24B total parameters, 2B active per token > Context expanded to 131K tokens > A 128K-token vocabulary > 33T pretraining tokens > It is a reasoning model > Very easy to fine-tune and customize > Performs competitively with Qwen3.6-35B-A3B, a model with ~50% more total and active parameters, on agentic and tool-use tasks. > Open base and post-trained weights on @huggingface π€ 1/
- Oct 12, 2026168x their median
Agent contributions to Omarchy are not only very welcome, but I usually prefer them! Rare is the human who has the patience to match an agent in providing all the pertinent details in a bug report. Also, PRs are mostly just proofs of concept now anyway.
- Oct 13, 2026100x their median
https://t.co/5ttM9rgnMV
- Oct 13, 202676x their median
Signed is a new app for signing PDFs to replace the cumbersome Xournal++ in Omarchy. Will be default in the next version. https://t.co/TYBTzNZ3Kx https://t.co/iDESpSYi42
- Oct 13, 202625x their median
Omarchy Meetup in Tokyo and Warsaw tomorrow, and also another eight more this week alone around the world. Great places to meet others for a night of beautiful, fun & agentic Linux! https://t.co/wrqcrtf2hU https://t.co/zCxVhmQSQT
- Oct 13, 20266.9x their median
Have you seen how Wave Go transforms? π Clip on for hands-free recording π€ Slot it into Smart Handle for interviews β±οΈ Switch modes in seconds π Audio that adapts to how you're using it Our Wave Go launch stream is live now: https://t.co/Ve8LkubiMD https://t.co/Sahnch5Sel
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 9 interactions against 55K followers, an engagement rate of 0.017%. Measured over 33 original posts, its engagement rate beats 19% of 21,185 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 683 times each, and 1.32% of those impressions turn into an interaction. That is about 1.25% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.4 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 12:00 UTC, and Tuesday is the busiest day of the week. Of the 33 posts sampled, 76% carry an image or video, 18% are part of a thread and 39% link out. The account's strongest tracked post pulled 10K interactions, about 1156x its own typical post.
- What is Mike Gannotti π³'s engagement rate on X?
- Mike Gannotti π³ (@MichaelGannotti) has an engagement rate of 0.017%, based on the median interactions across 33 original posts from the last 30 days against 54,629 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.017%, Mike Gannotti π³ sits above the 10th percentile of the 212,741 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 @MichaelGannotti have real engagement?
- Its engagement rate beats 19% of the tracked X accounts closest to it in follower count (21,185 accounts), which puts it in the bottom quarter for its size 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 @MichaelGannotti post?
- Most posts go out around 12:00 UTC, and Tuesday is its busiest day, at roughly 2.4 posts per day across the measured window.