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Franco Ronconi ๐Ÿ‡ฎ๐Ÿ‡น engagement report

@FrRonconii - 85K followers on X

Measured over 1 original post from a 30-day window, last computed on September 30, 2026.

Engagement

Per follower
1.83%
of 85K followers
Per impression
3.24%
48K views on a typical post
Reach
56.5%
of its followers see a post
Typical post
1.6K
interactions (median)
Saved
0.275%
133 bookmarks on a typical post
Posting rate
1.53/day
active 23% of days
Peak time
16:00 UTC
Thursday

Early reading. We have captured 1 original post 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 1.6K interactions against 85K followers, an engagement rate of 1.83%. Posts are seen about 48K times each, and 3.24% of those impressions turn into an interaction. That is about 56.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 16:00 UTC, and Thursday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 1.6K interactions. Recurring topics include #tech, #ai, #digital. Only 1 original post 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 1 original post from a 30-day window, last computed on September 30, 2026. Recurring tags: #tech, #ai, #digital.

Where this sits in the catalog

At 1.83%, Franco Ronconi ๐Ÿ‡ฎ๐Ÿ‡น sits above the 75th percentile of the 205,582 accounts in this comparison. That places it in the top 25% band, which runs 0.679% to 2.56%.

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 16:00 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 16:00 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 video100% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 100% 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.
  • 100% 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 254 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 24, 2026

    Trust is what holds our societies together. But trust has increasingly been shifting from humans to AI. What happens when we stop trusting each other completely? From @TheEconomist interview with @zannymb: https://t.co/tVmVSuU3S8 https://t.co/MopZBAGakt

    1.1K317673948K viewsView on X
  • Aug 24, 2026

    Experts warn the AI data centers are leading to โ€œa national economic crisis.โ€ The massive global rush to build out artificial intelligence infrastructure is hiding a deep financial crisis that could soon spiral into an economic disaster in the U.S. According to hedge fund manager Harris Kupperman and industry insiders, the core economic math behind the AI data center boom is fundamentally broken. Tech companies are pouring billions of dollars into high-performance semiconductor chips and massive physical facilities, treating them as the 'shovels' of the AI gold rush. However, unlike traditional long-term infrastructure, these highly specialized components degrade and become obsolete at an alarming pace. Rapid technological advancements and the sheer intensity of high-power workloads mean that data center hardware has an impossibly short lifespan, forcing operators into a continuous, hyper-expensive cycle of replacement long before they can recover their initial investments. This rapid depreciation creates an immense financial gulf that the current market cannot bridge. To break even on current and projected capital expenditures through 2026, the AI sector would need to generate approximately $1 trillion in revenueโ€”a figure that vastly dwarfs any actual income the technology currently produces. When tech giants scale up these operations despite flawed unit economics, they are not solving the underlying financial problem; rather, they are inflating a bubble that threatens the broader economy. If the anticipated AI revenue fails to materialize, these multi-billion-dollar facilities risk becoming heavily stranded assets, transforming a Silicon Valley tech correction into a systemic national crisis that could drag down utilities, rate-payers, and investors alike. source: Wilkins, J. (2025). AI Data Centers Are an Even Bigger Disaster Than Previously Thought. Futurism.

    315182483916K viewsView on X
  • Aug 27, 2026

    Renowned Japanese avant-garde artist Yayoi Kusama passed away at the age of 97 in a Tokyo hospital on August 14, 2026, with her studio and foundation officially announcing her death on August 27... Yayoi Kusama was one of the most distinctive figures in contemporary art, famous for her polka dots, pumpkins, Infinity Nets, and mirrored rooms. Born in Japan in 1929, Kusama began experiencing vivid hallucinations as a child, including fields of dots, flowers, lights, and patterns that appeared to spread across her surroundings. Drawing and painting became a way of recording and coping with these experiences, and repetition eventually became one of the defining features of her art. Kusama moved to New York in 1958 and became part of the city's avant-garde art world. During the 1960s, she experimented with enormous patterned paintings, sculptures, installations, performances, and mirrored environments. Her first Infinity Mirror Room appeared in 1965, decades before such immersive installations became enormously popular with museum audiences. After returning to Japan in 1973, Kusama continued struggling with her mental health. In 1977, she voluntarily became a permanent resident of a psychiatric hospital in Tokyo. This wasn't the end of her artistic career. She established a studio nearby and maintained a remarkably disciplined routine, leaving the hospital to work and returning afterward. Kusama herself described the hospital as a place she chose to live while receiving treatment. For decades, this unusual arrangement allowed her to continue producing paintings, sculptures, novels, poetry, and enormous installations. In later years, particularly after the pandemic, she increasingly worked from a room within the hospital itself. Her experiences with hallucinations, repetition, infinity, and what she called โ€œself-obliterationโ€ remained deeply connected to her work. After spending years relatively overlooked by the international art establishment, Kusama experienced an extraordinary resurgence beginning in the late 1980s and 1990s. Her Infinity Mirror Rooms and dotted pumpkins eventually became some of the most recognizable works in contemporary art. Kusama passed away at a hospital in Tokyo on August 14, 2026, at age 97. According to the Yayoi Kusama Museum, she continued painting until her final days. ๐Ÿ“ท : Yayoi Kusama's work "The Spirits of the Pumpkins Descended into the Heavens" (2015), exhibited at the National Gallery of Australia in Canberra, ACT, Australia. #archaeohistories

    171381213K viewsView on X
  • Aug 19, 2026

    Handy! https://t.co/TCFl1gHmia

    379649.5K 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.

Recurring topics

#tech#ai#digital#innovation#business

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 1.6K interactions against 85K followers, an engagement rate of 1.83%. Posts are seen about 48K times each, and 3.24% of those impressions turn into an interaction. That is about 56.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 16:00 UTC, and Thursday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 1.6K interactions. Recurring topics include #tech, #ai, #digital. Only 1 original post 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 Franco Ronconi ๐Ÿ‡ฎ๐Ÿ‡น's engagement rate on X?
Franco Ronconi ๐Ÿ‡ฎ๐Ÿ‡น (@FrRonconii) has an engagement rate of 1.83%, based on the median interactions across 1 original posts from the last 30 days against 85,462 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 1.83%, Franco Ronconi ๐Ÿ‡ฎ๐Ÿ‡น sits above the 75th 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 @FrRonconii have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @FrRonconii post?
Most posts go out around 16:00 UTC, and Thursday is its busiest day, at roughly 1.53 posts per day across the measured window.

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