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Bojan Tunguz engagement report

@tunguz - 311K followers on X

Measured over 31 original posts from a 30-day window, last computed on October 17, 2026.

Engagement

Middle of its size range
Per follower
0.025%
of 311K followers
Per impression
0.852%
8.9K views on a typical post
Reach
2.92%
of its followers see a post
Typical post
76
interactions (median)
Saved
0.056%
5 bookmarks on a typical post
Posting rate
2.23/day
active 17% of days
Peak time
17:00 UTC
Friday

A typical post picks up 76 interactions against 311K followers, an engagement rate of 0.025%. Measured over 31 original posts, its engagement rate beats 35% 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 8.9K times each, and 0.852% of those impressions turn into an interaction. That is about 2.87% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 17:00 UTC, and Friday is the busiest day of the week. Of the 31 posts sampled, 32% carry an image or video. The account's strongest tracked post pulled 31K interactions, about 401x its own typical post.

Measured over 31 original posts from a 30-day window, last computed on October 17, 2026.

Compared with accounts its own size

Bojan Tunguz's engagement rate beats 35% of the tracked X accounts closest to it in follower count (20,444 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 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 0.025%, Bojan Tunguz sits above the 25th percentile of the 204,880 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,880 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 17:00 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: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 17:00 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video32% of posts+111%+108% to +115%34K
Outbound link3% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 32% 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.
  • 3% 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 295 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.

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 17, 2026401x their median

    Mark Carney’s approval hit 70%, the highest level, surpassing Chrétien’s 66%. So freaking awesome. https://t.co/6nTNusgyRy

    24K2.9K3.1K4242.2M viewsView on X
  • Oct 16, 2026391x their median

    En France, on a inventé le Concorde. En 1969, il décollait et atteignait Mach 2 symbole de la grandeur gaullienne, conçu pour défier les Américains. En 1972, le TGV 001 battait le record mondial à turbine (318 km/h). En 1981, le TGV électrique reliait Paris à Lyon à 260 km/h. En 2007, il pulvérisait encore le record mondial sur rail : 574,8 km/h. Dans les années 70, le plan Messmer lançait le plus grand programme nucléaire civil de l’Histoire : 58 réacteurs, jusqu’à 70-80 % de notre électricité, une indépendance énergétique que le monde entier nous enviait. Dassault, Sud-Aviation, EDF, Framatome, la SNCF : nos ingénieurs étaient les meilleurs. On avait dix à vingt ans d’avance sur presque tout le monde. Puis 1981, Mitterrand. Nationalisations massives (banques, acier, chimie, électronique, aéronautique). Semaine de 39 heures. Lois Auroux. Charges sociales qui explosent. Syndicats tout-puissants. Fiscalité punitive. Droit du travail rigidifié. En moins de cinquante ans, le socialisme a transformé un pays d’ingénieurs conquérants en un pays de grèves, de délocalisations et de stagnation relative. L’industrie est passée d’environ 28 % du PIB à 11 %. Le Concorde a été abandonné. Notre nucléaire a été presque démantelé pendant des décennies faute de choix politique mortifère. Ce n’est pas le destin, c’est le prix d’une idéologie qui a préféré redistribuer et réglementer plutôt que construire et innover. A bon entendeur.

    23K5.4K996474466K viewsView on X
  • Sep 16, 2026295x their median

    The first time I went to an Everton match was during the FA Cup in 1989. Unfortunately, it went the wrong way. Tonight, they didn’t disappoint. Thanks for the invite, @andyburnham. https://t.co/yNIJfmOKCY

    21K1.0K516126662K viewsView on X
  • Sep 3, 2026203x their median

    JUST IN: NVIDIA's $12,930,300,000 acquisition of Hugging Face contains an easter egg. The number 129,303 is the decimal conversion of Unicode point U+1F917. The 🤗 emoji.

    14K7461193773.8M viewsView on X
  • Sep 13, 2026140x their median

    The most touching part of Alexander Zverev's 1st #USOpen victory speech "I want to thank one more person who is never actually watching my matches but is the most important person in my tennis life and in my life in general. Because when your 4-year-old son gets diagnosed with diabetes and doctors in the office tell you that life and sports will be very, very limited for that child it takes a very, very strong mother to walk out of those offices and say, 'My son will be whatever he wants to be, if he wants to be a tennis player he will be a tennis player, if he wants to do something else he will do something else. But this illness will not define us.'" #getty

    9.8K7228140365K viewsView on X
  • Sep 14, 2026122x their median

    Don't get flustered. People are rude, planes are late, and the elevator is broken with no special attention to you. Just smile, rebook, or take the stairs.

    8.5K52518441199K viewsView on X
  • Oct 16, 202686x their median

    Tonight, Lake Michigan is going to have waves taller than a house. Up to 20 feet out in the middle, and a few could hit 23. https://t.co/NIxM7WArxd

    5.7K5151461951.2M viewsView on X
  • Sep 1, 202660x their median

    No one gives a fuck until you win

    4.0K3281614494K viewsView on X
  • Sep 12, 202646x their median

    Living simply is linked to greater happiness and purpose. You need people, not products. https://t.co/JFlLIHQmLg

    3.0K4413739107K viewsView on X
  • Sep 14, 202634x their median

    We are entering the era of the universalists and the polymaths. Act accordingly.

    2.2K288564295K 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 76 interactions against 311K followers, an engagement rate of 0.025%. Measured over 31 original posts, its engagement rate beats 35% 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 8.9K times each, and 0.852% of those impressions turn into an interaction. That is about 2.87% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 17:00 UTC, and Friday is the busiest day of the week. Of the 31 posts sampled, 32% carry an image or video. The account's strongest tracked post pulled 31K interactions, about 401x its own typical post.

What is Bojan Tunguz's engagement rate on X?
Bojan Tunguz (@tunguz) has an engagement rate of 0.025%, based on the median interactions across 31 original posts from the last 30 days against 310,625 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.025%, Bojan Tunguz sits above the 25th 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 @tunguz have real engagement?
Its engagement rate beats 35% 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 @tunguz post?
Most posts go out around 17:00 UTC, and Friday is its busiest day, at roughly 2.23 posts per day across the measured window.

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