Stanford University engagement report
@Stanford - 1.0M followers on X
Measured over 8 original posts from a 30-day window, last computed on August 31, 2026.
Engagement
A typical post picks up 98 interactions against 1.0M followers, an engagement rate of 0.009%. Measured over 8 original posts, its engagement rate beats 34% of 3,774 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 19K times each, and 0.526% of those impressions turn into an interaction. That is about 1.80% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.27 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 21:00 UTC, and Tuesday is the busiest day of the week. Of the 8 posts sampled, 100% link out. The account's strongest tracked post pulled 3.7K interactions, about 38x its own typical post.
Measured over 8 original posts from a 30-day window, last computed on August 31, 2026. Recurring tag: #researchmatters.
Compared with accounts its own size
Stanford University's engagement rate beats 34% of the tracked X accounts closest to it in follower count (3,774 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 34% 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 0.009%, Stanford University sits above the 10th percentile of the 36,654 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.08% |
| 75th percentile | 0.433% |
| 90th percentile | 2.10% |
| 99th percentile | 160.5% |
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 21:00 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% | 51K |
| 01:00 UTC | -2% | 52K |
| 02:00 UTC | -3% | 50K |
| 03:00 UTC | -4% | 53K |
| 04:00 UTC | -6% | 43K |
| 05:00 UTC | -4% | 42K |
| 06:00 UTC | -4% | 48K |
| 07:00 UTC | -5% | 52K |
| 08:00 UTC | -4% | 61K |
| 09:00 UTC | -3% | 70K |
| 10:00 UTC | -2% | 72K |
| 11:00 UTC | -3% | 78K |
| 12:00 UTC | -2% | 86K |
| 13:00 UTC | -2% | 94K |
| 14:00 UTC | -4% | 97K |
| 15:00 UTC | -2% | 101K |
| 16:00 UTC | -3% | 98K |
| 17:00 UTC | -2% | 91K |
| 18:00 UTC | -1% | 85K |
| 19:00 UTC | -1% | 80K |
| 20:00 UTC | -1% | 74K |
| 21:00 UTC | -1% | 66K |
| 22:00 UTC | -1% | 57K |
| 23:00 UTC | -2% | 52K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +4% | 231K |
| Monday | 0% | 288K |
| Tuesday | -2% | 278K |
| Wednesday | -1% | 251K |
| Thursday | -1% | 245K |
| Friday | -3% | 253K |
| Saturday | +3% | 227K |
Best tweets
- Jun 15, 202638x their median
“You have thousands of moments ahead of you. The important thing isn’t to get them all right; it’s to find a way to keep moving forward.” Sundar Pichai, MS ’95, CEO of Google and Alphabet, addressed the Class of 2026 at Stanford’s 135th Commencement ceremony. Watch the full speech at the link: https://t.co/3OFNRonqeH
- Apr 2, 202633x their median
Sundar Pichai (@sundarpichai), CEO of @Google and Alphabet Inc. and a Stanford alum, will return to the Farm to deliver Stanford’s 135th Commencement address. 🗞️: https://t.co/dNS5maVhIw https://t.co/riLX0P9wSv
- Mar 11, 20267.3x their median
Stanford researchers have launched a privacy-focused, open-source platform to study how digital interactions affect physical and mental health. https://t.co/FcZJxr7NbW
- Feb 6, 20263.8x their median
Stanford University holds undergraduate tuition steady for 2026-27. Nearly 90% of students graduate debt-free, with one-third of undergraduate families receiving need-based funding that covers full tuition. 🗞️: https://t.co/3EclRNt7p0 https://t.co/mYo3hiVEfN
- Jul 2, 20263.1x their median
What if the secret to human intelligence isn't processing more data — but knowing when to stop? New @StanfordGSB research shows how people learn social conventions with minimal information, and why that sets us apart from LLMs. https://t.co/bNMGxc2T1H
- Mar 10, 20262.8x their median
Stanford researchers combined two microscopy techniques to create a unique instrument that shows cell structures interacting in real time at 120-nanometer resolution—the highest achieved without fluorescent labels. https://t.co/trupW1fdqV
- Feb 9, 20262.6x their median
Researchers at @StanfordMed have identified a target that could lead to new classes of cancer therapies. https://t.co/s90GqBWUXJ
- Jun 11, 20262.2x their median
Meet Katelyn and Lorelei Santa Maria, #Stanford2026 🎓 The twin sisters and human biology majors spent their undergrad years building parallel paths in research and service. 🗞️: https://t.co/ea8Awmd9ZS https://t.co/QvssW3R3co
- Mar 16, 20262.0x their median
Altering gut microbiome composition can reverse cognitive decline in aging mice, enhancing memory formation, new Stanford research shows. https://t.co/3hk0bVMBqt
- May 6, 20261.9x their median
"AI is changing the way we do biology." Bioengineer Emma Lundberg is leveraging AI to map the human proteome in space and time, while reframing the way scientists think about genetic disease. #ResearchMatters https://t.co/0Trk2xhhLJ
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 98 interactions against 1.0M followers, an engagement rate of 0.009%. Measured over 8 original posts, its engagement rate beats 34% of 3,774 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 19K times each, and 0.526% of those impressions turn into an interaction. That is about 1.80% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.27 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 21:00 UTC, and Tuesday is the busiest day of the week. Of the 8 posts sampled, 100% link out. The account's strongest tracked post pulled 3.7K interactions, about 38x its own typical post.
- What is Stanford University's engagement rate on X?
- Stanford University (@Stanford) has an engagement rate of 0.009%, based on the median interactions across 8 original posts from the last 30 days against 1,033,841 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.009%, Stanford University sits above the 10th percentile of the 36,654 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 @Stanford have real engagement?
- Its engagement rate beats 34% of the tracked X accounts closest to it in follower count (3,774 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 @Stanford post?
- Most posts go out around 21:00 UTC, and Tuesday is its busiest day, at roughly 0.27 posts per day across the measured window.