Lito Sousa engagement report
@avioesemusicas - 274K followers on X
Measured over 2 original posts from a 30-day window, last computed on September 7, 2026.
Engagement
Early reading. We have captured 2 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 7.8K interactions against 274K followers, an engagement rate of 2.84%. Posts are seen about 198K times each, and 3.94% of those impressions turn into an interaction. That is about 72.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.13 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 17:00 UTC, and Monday is the busiest day of the week. The account's strongest tracked post pulled 44K interactions, about 5.6x its own typical post. Only 2 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 2 original posts from a 30-day window, last computed on September 7, 2026.
Where this sits in the catalog
At 2.84%, Lito Sousa sits above the 90th percentile of the 66,393 accounts in this comparison. That places it in the top 10% band, which runs 2.09% to 119.5%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.016% |
| 50th percentile | 0.1% |
| 75th percentile | 0.499% |
| 90th percentile | 2.09% |
| 99th percentile | 119.5% |
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 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 0% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 0% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -3% | -3% to -2% | 54K |
- 0% 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.
- 0% 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 128 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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
- May 29, 20265.6x their median
Romania, a member of NATO, has been attacked by Russia. https://t.co/KAv4nDaBBR
- Jun 10, 20263.4x their median
You have noticed it. ChatGPT feels dumber than it used to. Your prompts that worked six months ago produce worse results now. The writing sounds flatter. The ideas sound safer. The internet itself feels like it is shrinking. Every article reads the same. Every email sounds the same. Every answer sounds like it was written by the same voice. You thought it was you. It is not you. Researchers at Oxford and Cambridge published a paper in Nature proving what is happening. They call it Model Collapse. Here is the mechanism in one sentence. AI trained on AI-generated data gets dumber every generation until it forgets what real human data looked like. The internet is filling with AI-generated content. Blog posts. Articles. Reviews. Comments. Social media. AI companies scrape the internet to train the next generation of models. Which means the next generation of AI is being trained on the output of the current generation. Each cycle loses information. Not randomly. It loses the rarest, most unusual, most creative parts first. The researchers call these the "tails of the distribution." The weird ideas. The unexpected perspectives. The things that made the internet feel human. Those disappear first. What remains is the average. The safe. The expected. The bland. Then the next generation trains on that. And loses more. And the next generation trains on that. And loses more. The researchers proved this is not a slow decline. Major degradation happens within just a few iterations. Even when some of the original human data is preserved. They tested it on large language models. On image generators. On statistical models. The pattern was the same every time. The output converges toward a narrow, flattened version of reality that looks nothing like the original data. The lead researcher put it plainly. "Large language models are like fire. A useful tool. But one that pollutes the environment." The pollution is invisible. You cannot see which sentence on the internet was written by a human and which was written by AI. Neither can the AI that is about to train on it. And once the tails are gone, they do not come back. The damage is irreversible. This is not a prediction anymore. It is a diagnosis. The internet you grew up on was built by humans writing things no algorithm would have written. Strange, personal, imperfect, alive. That internet is being diluted. One generation of AI at a time. And the models trained on what remains are learning a smaller and smaller version of the world. Model Collapse is not a technical problem. It is a cultural one. The thing that made the internet worth reading is the thing that disappears first.
- Aug 10, 2026
Aproveito para agradecer todas as mensagens de melhoras. No devido tempo agradecerei apropriadamente.
- May 4, 2026
Avião cai e bate em prédio em Belo Horizonte; Globocop captou momento do acidente https://t.co/uSjQL52QBq #g1 https://t.co/WEhLqpGRAt
- Aug 10, 2026
Tem um documentário sobre o acidente da Voepass no meu canal Aviões e músicas no YouTube. Uma hora e meia de informações sem sensacionalismo. Compartilhem
- May 5, 2026
Sobre o acidente em Belo Horizonte. https://t.co/vVXZZWxZCL
- Jun 26, 2026
A small plane crashes into a 109-story skyscraper in Beijing, sending debris down the building's side. Local reports say the pilot Liu Junhua was conducting a solo flight in the local airspace, took off from Shifosi Airport at 17:30, and at 17:40 prepared to return for landing. While joining the westbound route for Runway 18, the aircraft did not join the approach, deviated from the local airspace and continued flying on a constant heading of 270 degrees.
- May 17, 2026
Que fase… Dois F-18 colidiram num show aéreo em Idaho. Os 4 pilotos conseguiram ejetar. Chutem o prejuízo. https://t.co/rz7FJ2oxmg
- May 4, 2026
Que legal. Tô a bordo e o voo acabou de arremeter. Minha primeira em GRU. É muito bom ganhar mais 15 minutos de voo sem pagar nada 👏🏻👏🏻👏🏻 https://t.co/pwK6SwavOw
- Jul 24, 2026
Decepcionado com o que vi no Relatório Final #Live https://t.co/6bYKz9nYmf
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 7.8K interactions against 274K followers, an engagement rate of 2.84%. Posts are seen about 198K times each, and 3.94% of those impressions turn into an interaction. That is about 72.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.13 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 17:00 UTC, and Monday is the busiest day of the week. The account's strongest tracked post pulled 44K interactions, about 5.6x its own typical post. Only 2 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 Lito Sousa's engagement rate on X?
- Lito Sousa (@avioesemusicas) has an engagement rate of 2.84%, based on the median interactions across 2 original posts from the last 30 days against 274,400 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 2.84%, Lito Sousa sits above the 90th percentile of the 66,393 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 @avioesemusicas have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @avioesemusicas post?
- Most posts go out around 17:00 UTC, and Monday is its busiest day, at roughly 0.13 posts per day across the measured window.