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Life at Google engagement report

@lifeatgoogle - 495K followers on X

Measured over 14 original posts from a 30-day window, last computed on October 21, 2026.

Engagement

Middle of its size range
Per follower
0.008%
of 495K followers
Per impression
0.678%
5.6K views on a typical post
Reach
1.13%
of its followers see a post
Typical post
38
interactions (median)
Saved
0.062%
4 bookmarks on a typical post
Posting rate
1/day
active 40% of days
Peak time
19:00 UTC
Thursday

A typical post picks up 38 interactions against 495K followers, an engagement rate of 0.008%. Measured over 14 original posts, its engagement rate beats 30% of 20,444 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 5.6K times each, and 0.678% of those impressions turn into an interaction. That is about 1.13% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1 post a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 19:00 UTC, and Thursday is the busiest day of the week. Of the 14 posts sampled, 93% carry an image or video, 57% are part of a thread and 36% link out. The account's strongest tracked post pulled 2.8K interactions, about 73x its own typical post.

Measured over 14 original posts from a 30-day window, last computed on October 21, 2026.

Compared with accounts its own size

Life at Google's engagement rate beats 30% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 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%, Life at Google sits above the 10th percentile of the 205,152 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,152 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

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 19:00 UTC, and Thursday 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: 19:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 19:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%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 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

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.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video93% of posts+111%+108% to +115%34K
Outbound link36% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 93% 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.
  • 36% 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 264 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

  • Sep 25, 202673x their median

    Join Polaris, a new @GoogleDeepMind team designing the complex evaluation frameworks that will define the future of AI coding agents, and give you the autonomy to prototype architectures and publish research. Experience? We care about how you think and build, not your “level.” Apply now: https://t.co/b5hrlQLTsp

    2.6K12364331.7M viewsView on X
  • Aug 31, 20269.4x their median

    Applications for our 2027 Software Engineering Internships are now live on Google's Careers site! Before you apply, head to our new Student Hub for resume tips, interview prep resources, and everything you need to know about the internship experience ➡️ https://t.co/B0OaHUfJeI https://t.co/gCzKRPnEro

    304504120K viewsView on X
  • Jul 24, 20268.3x their median

    The massive concrete Google ‘G’ statue outside our Bay View office recently got a fresh new look to match our brighter, bolder AI-era logo. This wasn't an easy feat, as you can't just slap paint on a 15-foot-tall concrete giant. To pull this off, the team had to engineer and plan for materials that are both flexible and resilient, dodge unpredictable weather windows, and bring in a specialist to hand-blend the gradient across a massive surface. The coolest part? It's now the only 'G' statue in the entire company painted entirely by hand, giving it a little extra human character making it our “Super G”. Check out the new look and meet some of the Googlers who are already loving the upgraded backdrop!

    2732119422K viewsView on X
  • Oct 8, 20267.2x their median

    Samriddhi wishes she had spent less time trying to map out her entire career. The career she could not predict brought her to Google twice as an intern, then back a third time as a full-time Software Engineer. https://t.co/7O8MKmGje2

    248415643K viewsView on X
  • Aug 12, 20264.8x their median

    By day, Amy, a Software Engineer on the Google Search team, is at the forefront of AI Search. “I build global features you use on Search and AIMode when you travel, book a hotel, and eat at a restaurant. I get to live my dream of solving interesting problems and building cool things that make life better for people everywhere.”

    1531512215K viewsView on X
  • Sep 8, 20262.6x their median

    Rhea walked into Google's Dublin office as a student in 2019 with one goal in mind. It just took a little longer than she expected to make it happen. https://t.co/L4WEk7lpoU

    869409.7K viewsView on X
  • Aug 14, 20262.6x their median

    How do you keep learning after 13 years in tech engineering? Pietro, Director on our Google Global Infrastructure (GGI) team in Google Cloud, shares his key takeaway for continuous career growth: "Google is a place where there will always be an abundance of opportunities for a Googler to grab and work on."

    8468112K viewsView on X
  • Jul 30, 20262.0x their median

    Happy International Intern Day! Around the globe, Google offices are hosting events to celebrate our intern community. https://t.co/TpxVdc8GcG

    599529.6K viewsView on X
  • Sep 14, 20261.9x their median

    It's back-to-school season! As the fall semester kicks off, we're excited to share that Google internships for 2027 — including our Software Engineer roles — are beginning to open. Explore our opportunities for students and apply today: https://t.co/dojaS8TTxb https://t.co/lIIisPWZPa

    654306.5K viewsView on X
  • Aug 8, 20261.9x their median

    Happy National Pickleball Day! Our pickleball community has quickly become one of the fastest-growing way for Googlers to connect. For software engineer Yiming Li, taking a break on one of our on-campus courts is the ultimate productivity hack. "Playing pickleball keeps my mind sharp without draining my physical energy," says Yiming. "Because it’s engaging rather than exhausting, I leave the court feeling recharged, focused, and ready to tackle code back at my desk."

    6353010K 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 38 interactions against 495K followers, an engagement rate of 0.008%. Measured over 14 original posts, its engagement rate beats 30% of 20,444 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 5.6K times each, and 0.678% of those impressions turn into an interaction. That is about 1.13% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1 post a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 19:00 UTC, and Thursday is the busiest day of the week. Of the 14 posts sampled, 93% carry an image or video, 57% are part of a thread and 36% link out. The account's strongest tracked post pulled 2.8K interactions, about 73x its own typical post.

What is Life at Google's engagement rate on X?
Life at Google (@lifeatgoogle) has an engagement rate of 0.008%, based on the median interactions across 14 original posts from the last 30 days against 494,759 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.008%, Life at Google sits above the 10th percentile of the 205,152 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 @lifeatgoogle have real engagement?
Its engagement rate beats 30% of the tracked X accounts closest to it in follower count (20,444 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 @lifeatgoogle post?
Most posts go out around 19:00 UTC, and Thursday is its busiest day, at roughly 1 posts per day across the measured window.

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