Harbor ML engagement report
@harborml - 241K followers on X
Measured over 1 original post from a 30-day window, last computed on September 27, 2026.
Engagement
Early reading. We have captured 1 original post for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.
A typical post picks up 18 interactions against 241K followers, an engagement rate of 0.007%. Posts are seen about 5.4K times each, and 0.333% of those impressions turn into an interaction. That is about 2.24% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.1 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 16:00 UTC, and Saturday is the busiest day of the week. Of the 1 posts sampled, 100% link out. The account's strongest tracked post pulled 51K interactions, about 2844x its own typical post. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
Measured over 1 original post from a 30-day window, last computed on September 27, 2026.
Where this sits in the catalog
At 0.007%, Harbor ML sits above the 10th percentile of the 204,880 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 | 0.678% |
| 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 16:00 UTC, and Saturday 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 | 0% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 100% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 0% 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.
- 100% 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 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
- Jun 18, 20262844x their median
Announcing a new division of Midjourney called "Midjourney Medical" https://t.co/c14YcO6yaU
- Apr 22, 20261943x their median
Imagine every pixel on your screen, streamed live directly from a model. No HTML, no layout engine, no code. Just exactly what you want to see. @eddiejiao_obj, @drewocarr and I built a prototype to see how this could actually work, and set out to make it real. We're calling it Flipbook. (1/5)
- May 14, 20261448x their median
What happens when you post a real Monet and say it’s AI? The coolest art social experiment I’ve seen in a while. Thank you @SHL0MS https://t.co/qlxRq1NAiR
- May 6, 20261061x their median
We're building a surgical robot capable of reaching any brain region. The goal: a generalized neural interface to help solve any condition that originates in the brain. https://t.co/cnUWDvtxV9
- Mar 16, 2026376x their median
We're pleased to continue as global solution partners of @IBM @IBMData With Harbor, the opportunities as we step into the automation era of labor is limitless. Find out more here: https://t.co/TP4lp1IkY9
- Mar 29, 202688x their median
69% of baseball fans say they'd rather have a computer vision AI system call balls and strikes than a human umpire. This season, the MLB gave them one. For the first time in league history, a human ump's ball-strike call is not final. A Sony computer vision system called Hawk-Eye makes the ruling. It can read the seam pattern on the ball, measure spin axis, and detect spin decay mid-flight. Hawk-Eye's Head of Computer Vision Engineering says the pipeline runs "various AI and machine learning models" from camera capture to data output. On Saturday, one umpire had 6 of 8 challenged calls overturned. Three of those missed by over 2 inches. The team ran out of challenges by the fourth inning trying to correct him, then the manager got thrown out for arguing a call they couldn't challenge. An AI computer vision system accurate to a sixth of an inch, sitting next to a human who misses by two. The crowd cheered for the machine.
- May 12, 202634x their median
Harbor ML May Competition: up to $10,000 prize pool, up to 2,000 winners. Read steps +Harbor ML May Competition: up to $10,000 prize pool, first served (FCFS) for the first 2,000 valid submissions. Read steps + form on our blog, then follow Surge. Eligibility: Complete every required step and answer truthfully. Harbor and Surge reserve the right to verify on-Surge and wallet activity before any payout. Terms apply: https://t.co/cYbs0K6GpA
- May 21, 202623x their median
As the competition draws to a close, we're running a final round $5,000 cash prize pool with first come, first served (FCFS) for the first 1,000 valid submissions. Complete every required step and answer truthfully. Harbor and Surge reserve the right to verify on-Surge and wallet activity before any payout. If you have previous taken part in a Harbor raffle this month, you cannot do it again with the same X account. This gives a chance to new users. Both will be drawn on at the start of next month. Terms Apply. Last Chance: https://t.co/oSBZ6tMVkk
- Oct 10, 202511x their median
Monumental milestone. We’re delighted to announce we have officially partnered with @IBM to deliver decentralized video infrastructure and automation services to enterprises worldwide. The future of video is decentralized - an industry first and a massive win for web3 as a whole. 🌍🎥 ➡️ https://t.co/Bq3c5UtVq0 ⚡️ https://t.co/4qLygqenxk Read the full announcement: 🔗https://t.co/560KlfW8xm
- May 6, 20265.7x their median
Reminder: Migration forms are still open If you need to migrate, please complete your form as soon as possible. 1️⃣ Sign up at https://t.co/EzWvRdCGme 2️⃣ Go to the migration flow in-app 3️⃣ Submit all required details Please follow the correct process so we can review and approve quickly. If you are stuck, reply in this channel and we will help. Link: https://t.co/MatDMMoapP
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 18 interactions against 241K followers, an engagement rate of 0.007%. Posts are seen about 5.4K times each, and 0.333% of those impressions turn into an interaction. That is about 2.24% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.1 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 16:00 UTC, and Saturday is the busiest day of the week. Of the 1 posts sampled, 100% link out. The account's strongest tracked post pulled 51K interactions, about 2844x its own typical post. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
- What is Harbor ML's engagement rate on X?
- Harbor ML (@harborml) has an engagement rate of 0.007%, based on the median interactions across 1 original posts from the last 30 days against 240,778 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.007%, Harbor ML sits above the 10th percentile of the 204,880 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 @harborml have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @harborml post?
- Most posts go out around 16:00 UTC, and Saturday is its busiest day, at roughly 0.1 posts per day across the measured window.