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TU SAIS PAS QUOI ?! engagement report

@tuCpakoa - 320K followers on X

Measured over 5 original posts from a 30-day window, last computed on October 13, 2026.

Engagement

Per follower
0.003%
of 320K followers
Per impression
0.086%
12K views on a typical post
Reach
3.65%
of its followers see a post
Typical post
10
interactions (median)
Saved
0.026%
3 bookmarks on a typical post
Posting rate
0.43/day
active 33% of days
Peak time
06:00 UTC
Monday

Early reading. We have captured 5 original posts 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 10 interactions against 320K followers, an engagement rate of 0.003%. Posts are seen about 12K times each, and 0.086% of those impressions turn into an interaction. That is about 3.65% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.43 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 06:00 UTC, and Monday is the busiest day of the week. Of the 5 posts sampled, 40% carry an image or video and 40% link out. The account's strongest tracked post pulled 14K interactions, about 1442x its own typical post. Only 5 original posts 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 5 original posts from a 30-day window, last computed on October 13, 2026.

Where this sits in the catalog

At 0.003%, TU SAIS PAS QUOI ?! sits below the 10th percentile of the 205,582 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%
p750.679%
p902.56%
p9982.4%
Engagement rate as a share of followers, across the 205,582 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,893 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 percentile0.679%
90th percentile2.56%
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 06:00 UTC, and Monday 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: 06:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 06:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video40% of posts+111%+108% to +115%34K
Outbound link40% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 40% 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.
  • 40% 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 310 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

  • Oct 12, 20181442x their median

    Animating the Mercator projection to the true size of each country in relation to all the others. Focusing on a single country helps to see effect best. #dataviz #maps #GIS #projectionmapping #mapping https://t.co/clpCiluS1z

    8.5K4.7K206976View on X
  • Sep 21, 2026310x their median

    Le plus grand péril que représente l’intelligence artificielle n’est pas qu’elle accomplisse nos tâches, mais qu’elle nous épargne la transformation intérieure qu’exige leur accomplissement. Une forme de paresse se répand aujourd’hui à l’échelle planétaire de façon insidieuse. Elle n’est ni oisiveté, ni indolence, mais une dissociation croissante entre le résultat obtenu et l’être qui aurait dû se former pour l’obtenir. Car désormais, l’IA nous permet de diagnostiquer sans comprendre, de traduire un texte sans maîtriser la langue, de publier un livre sans en avoir écrit une ligne, ou de créer une œuvre sans l’avoir conçue. L’ignorance elle-même est en train de changer de nature. Elle n’est plus seulement une absence de connaissance, elle devient une incapacité à estimer ce que l’on ne sait plus faire. Le danger ultime est qu’après avoir confié aux IA nos tâches cognitives, nous leur abandonnions aussi ce désir d’apprendre qui a fait de nous des êtres pensants.

    2.0K78014712386K viewsView on X
  • Jul 19, 202612x their median

    Le 25 décembre 1937, Chelsea accueille Charlton pour un match de foot. À cause du brouillard, l'arbitre interrompt la partie et renvoie les joueurs aux vestiaires. Sauf que Sam Bartram, gardien de Charlton, ne se doute de rien. Un policier le retrouve dans ses cages 20 min après. https://t.co/CRnAWj6PUs

    11711015K viewsView on X
  • Jun 24, 202624x their median

    Les orques peuvent garder leur petit mort. En 2018, une orque est morte après sa naissance et sa mère ne l'a pas abandonnée : le corps coulait, et elle le soutenait avec sa tête en le poussant. Cela sur 1600 km durant 17 jours ! Puis, elle le laissa couler au fond de l'océan. https://t.co/iFAsW9QoWv

    4034112K viewsView on X
  • Aug 12, 20263.6x their median

    Connais-tu l'étonnant "Temple du dragon" Wat Samphran en Thaïlande ? Cet impressionnant temple bouddhiste de couleur rose bonbon mesure 80 mètres de haut, et un dragon saisissant l'enroule jusqu'à son sommet ! (L'intérieur du dragon contient un escalier.) https://t.co/Rw9CpySrgx

    3240011K viewsView on X
  • Sep 11, 20263.4x their median

    Lorsque tu dis "sans lien aucun", "plus encore", "pas même", "excepté lui" ou "me voici", tu t'exprimes exactement comme Yoda dans Star Wars, c.-à-d. de manière anastrophique ! L'anastrophe est une figure de style où inverser l'ordre des mots donne un effet de "langue raffinée" ! https://t.co/wDIpwApXZs

    3220012K viewsView on X
  • Sep 7, 20262.8x their median

    En 2026, les grands mystères non élucidés par la science : 1. La conscience : comment la matière grise engendre l'expérience subjective. 2. Energie et matière noires : 95% du cosmos sont invisible et inexpliqué. 3. L'origine de la vie : comment le non-vivant est devenu vivant.

    2053015K viewsView on X
  • Aug 3, 20262.7x their median

    Un gecko à crête polycéphale à deux têtes, nommé Simon et Garfunkel, est né en 2026. Chaque tête a son propre comportement ! La polycéphalie est apparue dans tout le règne animal, poissons, mammifères et reptiles. 🦎 https://t.co/c6wOEHvzl7 https://t.co/dTbdrgDDo7

    2510111K viewsView on X
  • Jun 17, 202611x their median

    Lequel de ces pléonasmes utilises-tu le plus souvent ? https://t.co/KJTxfw7h3X https://t.co/C4o2bY5Mgq

    181207.2K viewsView on X
  • Aug 1, 20262.0x their median

    La syphilis a eu plusieurs noms au cours de l'histoire. En Hollande c'était "la maladie espagnole", en Russie "la maladie polonaise", en Pologne et en Allemagne "la maladie française", en France "la maladie italienne", et en Grèce "la maladie chrétienne". https://t.co/3TgsPTagVk https://t.co/ZW7Pz0zyZb

    1820011K 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 10 interactions against 320K followers, an engagement rate of 0.003%. Posts are seen about 12K times each, and 0.086% of those impressions turn into an interaction. That is about 3.65% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.43 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 06:00 UTC, and Monday is the busiest day of the week. Of the 5 posts sampled, 40% carry an image or video and 40% link out. The account's strongest tracked post pulled 14K interactions, about 1442x its own typical post. Only 5 original posts 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 TU SAIS PAS QUOI ?!'s engagement rate on X?
TU SAIS PAS QUOI ?! (@tuCpakoa) has an engagement rate of 0.003%, based on the median interactions across 5 original posts from the last 30 days against 319,518 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.003%, TU SAIS PAS QUOI ?! sits below the 10th percentile of the 205,582 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 @tuCpakoa have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @tuCpakoa post?
Most posts go out around 06:00 UTC, and Monday is its busiest day, at roughly 0.43 posts per day across the measured window.

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