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Google Students engagement report

@googlestudents - 443K followers on X

Measured over 14 original posts from a 30-day window, last computed on August 29, 2026.

Engagement

Middle of its size range
Per follower
0.008%
of 443K followers
Per impression
0.605%
5.5K views on a typical post
Reach
1.25%
of its followers see a post
Typical post
34
interactions (median)
Saved
0.072%
4 bookmarks on a typical post
Posting rate
0.73/day
active 47% of days
Peak time
14:00 UTC
Friday

A typical post picks up 34 interactions against 443K followers, an engagement rate of 0.008%. Measured over 14 original posts, its engagement rate beats 27% 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 5.5K times each, and 0.605% 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 0.73 post a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 14:00 UTC, and Friday is the busiest day of the week. Of the 14 posts sampled, 100% carry an image or video, 29% are part of a thread and 29% link out. The account's strongest tracked post pulled 136 interactions, about 4.0x its own typical post.

Measured over 14 original posts from a 30-day window, last computed on August 29, 2026.

Compared with accounts its own size

Google Students's engagement rate beats 27% of the tracked X accounts closest to it in follower count (3,774 accounts, accounts of similar size (decile 7 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 38% 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 0.008%, Google Students sits above the 10th percentile of the 36,759 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.

p100.002%
p250.012%
p50 (median)0.08%
p750.434%
p902.10%
p99160.4%
Engagement rate as a share of followers, across the 36,759 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 106,964 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.002%
25th percentile0.012%
50th percentile0.08%
75th percentile0.434%
90th percentile2.10%
99th percentile160.4%

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 14:00 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.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 14:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%51K
01:00 UTC-2%52K
02:00 UTC-3%50K
03:00 UTC-4%54K
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%79K
12:00 UTC-2%87K
13:00 UTC-3%95K
14:00 UTC-4%98K
15:00 UTC-2%101K
16:00 UTC-4%99K
17:00 UTC-2%91K
18:00 UTC-1%85K
19:00 UTC-1%80K
20:00 UTC-1%75K
21:00 UTC-1%66K
22:00 UTC-2%58K
23:00 UTC-2%52K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Friday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+4%232K
Monday0%290K
Tuesday-2%281K
Wednesday-1%252K
Thursday-2%245K
Friday-3%254K
Saturday+3%228K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Jul 23, 20264.0x their median

    The fastest way to understand how massive AI models work isn't just studying them — it's building the frameworks that test them. Google DeepMind Software Engineering intern Jonathan breaks down how he uses benchmarks and evals to help Gemini run "hillclimbing" (continuous optimization).

    110185339K viewsView on X
  • Aug 17, 20262.7x their median

    Melisa, an NYC-based recruiter, shared her top tips for answering Google's behavioral interview questions. Ready to apply? Learn more about our career opportunities ➡️ https://t.co/kPIDyioMHT https://t.co/88Lqu0kvqv

    818208.6K viewsView on X
  • Jul 24, 20262.6x their median

    Take a peek inside yesterday's PhD Student Summit to see how Google's PhD interns and Student Researchers spent the day connecting, learning from research leaders, and seeing their work's real-world impact." Stay tuned — we’ll be sharing in-depth breakdowns of selected research soon! In the meantime, learn more about working in AI at Google: https://t.co/xMM0x5YDkp

    72115214K viewsView on X
  • Jul 28, 20261.8x their median

    Khoi, a PhD intern at Google, is solving a classic translation challenge: making lip movements match dubbed audio. His research aims to bring seamless, natural-looking multi-language videos to YouTube viewers worldwide. Learn more about a career in research at Google ➡️ https://t.co/xMM0x5YDkp

    5543015K viewsView on X
  • Jul 22, 20261.8x their median

    Richard, a software development intern based in Google's Montreal office, asked his fellow interns to share the biggest surprises they've experienced so far this summer! https://t.co/gMBN9wt3KK

    4858014K viewsView on X
  • Aug 24, 20261.7x their median

    "I believe diverse teams are the primary drivers of progress, and Google champions those exact values and an authentic culture of belonging." For Leonarda, a Software Engineering (SWE) intern on YouTube’s Trust & Safety team, blending creative thinking with technical logic is key to keeping digital spaces safe for everyone.

    508107.5K viewsView on X
  • Jul 21, 20261.6x their median

    Mohammad, a Software Engineering intern this summer, took us through a day in his life working in Google's London office! Interested in doing similar work? Explore our student and early career opportunities ➡️ https://t.co/9ie4PfZ015 https://t.co/KmAj3iSuxC

    4880014K viewsView on X
  • Aug 13, 2026

    Follow along for a day in the life of Francesca: a finance intern in Google's Sunnyvale office! https://t.co/1C93aGVGji

    425206.1K viewsView on X
  • Aug 7, 2026

    Last week, we celebrated International Intern Day across Google offices worldwide! From fun carnival games to community-building activities, the festivities recognized the incredible impact our interns make every single day. Three Google interns — Vicky (Sunnyvale), Gautam (New York), and Vivian (San Francisco) — took us along for all the action!

    347605.5K viewsView on X
  • Jul 29, 2026

    Aaditya, a software engineering intern based in Kirkland, is working on BigQuery: Google’s serverless cloud data warehouse. BigQuery helps organizations quickly store, manage, and analyze their data, turning it into actionable insights. Curious how BigQuery processes so much information so quickly and accurately? Aaditya gave us a closer look at his work! Explore our opportunities and open roles for students and early career professionals ➡️ https://t.co/YzoCdqcx1t

    3165211K viewsView on X

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 34 interactions against 443K followers, an engagement rate of 0.008%. Measured over 14 original posts, its engagement rate beats 27% 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 5.5K times each, and 0.605% 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 0.73 post a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 14:00 UTC, and Friday is the busiest day of the week. Of the 14 posts sampled, 100% carry an image or video, 29% are part of a thread and 29% link out. The account's strongest tracked post pulled 136 interactions, about 4.0x its own typical post.

What is Google Students's engagement rate on X?
Google Students (@googlestudents) has an engagement rate of 0.008%, based on the median interactions across 14 original posts from the last 30 days against 442,520 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.008%, Google Students sits above the 10th percentile of the 36,759 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 @googlestudents have real engagement?
Its engagement rate beats 27% 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 @googlestudents post?
Most posts go out around 14:00 UTC, and Friday is its busiest day, at roughly 0.73 posts per day across the measured window.

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