Marketing & affiliate — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 75% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
32 measurements spanning 51 days, net +581. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 15,904–16,659 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
26 Sept 2026, 13:01
16,572
+186
19 Sept 2026, 12:38
16,386
+38
17 Sept 2026, 00:20
16,348
+32
15 Sept 2026, 02:59
16,316
+31
13 Sept 2026, 11:38
16,285
+25
11 Sept 2026, 12:18
16,260
+63
8 Sept 2026, 20:17
16,197
+51
5 Sept 2026, 15:38
16,146
+31
3 Sept 2026, 15:22
16,115
+11
2 Sept 2026, 11:58
16,104
+11
1 Sept 2026, 10:05
16,093
+8
31 Aug 2026, 08:44
16,085
+17
30 Aug 2026, 09:28
16,068
+14
29 Aug 2026, 09:24
16,054
+21
28 Aug 2026, 08:04
16,033
+10
27 Aug 2026, 06:39
16,023
+13
26 Aug 2026, 03:23
16,010
+8
25 Aug 2026, 01:24
16,002
+1
23 Aug 2026, 17:18
16,001
-4
21 Aug 2026, 23:57
16,005
first reading
Engagement
27 posts held, back to 15 April 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 55 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.64%
avg views ÷ 16,572 subscribers
Avg views / post
1,100
1 post measured
Reaction rate
3.45%
reactions ÷ views · ER floor
Posts in window
1
of 27 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 2 September 2026
Posts held
27 (15 April 2026 – 2 September 2026)
Views total
1,100
Reactions total
38
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 10:09 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Video runtime
1m 18s
Average length
1m 18s
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
680 reactions across 26 posts, in 4 distinct kinds. The most used accounts for 79.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
540
79.4%
🔥
74
10.9%
👍
63
9.26%
👏
3
0.441%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 26 of the 27 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 680 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 27 most recent posts we hold, published 15 April 2026 to 2 September 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Vi dico una cosa che è importante:
se avete la fortuna di abitare in una regione di quelle belle, di quelle con le colline armoniose, con le montagne e i boschi o con il mare con i suoi tramonti, avete la responsabilità morale di smettere di lamentarvi e contribuire a cambiare le cose.
"Eh... ma non c'è nulla da fare"
"Eh... se solo ci fosse la gente che c'è a Milano"
"Eh... non conosco nessuno con i miei stessi in…
Ciao amici se siete alla ricerca di un buon podcast stimolante ho fatto una bella chiacchierata ospite da “cosa sposta” di Giulio Michelon.
Parliamo del mercato digitale italiano che sta cambiando, di prospettive imprenditoriali future e di strategie che hanno funzionato e che funzioneranno domani.
Giulione grande host 😎
Qui il link: https://dariovigna.li/WRViMO
Ormai un pezzo del nostro marketing lo deleghiamo all'AI quasi tutti.
Bozze, caroselli, email, script. Magari l'hai notato anche tu scrollando: il feed è pieno di contenuti scritti bene, ma sempre più uguali tra loro.
A molti di questi contenuti manca l'anima.
E il motivo è banale: io, tu, il mio competitor usiamo lo stesso identico modello AI. Se non lo plasmi a tua immagine e somiglianza scrive, pensa e ragiona …
Ciao amici. Oggi video senza filtri e un po’ preoccupante ma a tratti divertente.
La domanda da cui partiamo:
L'AI potrebbe causare la fine del mondo?
Negli ultimi due anni abbiamo imparato a usare l'AI per tutto.
Scrivere email. Analizzare dati. Generare contenuti. Automatizzare pezzi interi di azienda.
E mentre eravamo tutti concentrati sulla produttività, i ricercatori di AI safety discutevano una domanda molt…
Ci siamo, abbiamo registrato il mini corso a GitHub. Come promesso.
Per anni GitHub è stato un posto dove non avevamo motivo di entrare.
Roba da sviluppatori. Codice. Terminale. Gente che parla una lingua sua.
Poi è arrivata l'AI e ha reso più labile il confine tra sviluppatori e professionisti.
Oggi un imprenditore crea un sito in un pomeriggio. Un esperto si costruisce un second brain da migliaia di file. Un'az…
Ciao amici. Sono rientrato dalle ferie. Voi dove siete? Cosa fate? Ho una domanda e proposta per voi. Domanda: usate già GitHub nel vostro lavoro con l’AI quotidiano? Vi piacerebbe un video corso gratuito di un’ora in cui lo vediamo assieme e vi spiego perché è uno strumento importante e analizziamo assieme le sue funzioni? Un abbraccio
Ciao Marketers! Negli ultimi due anni abbiamo imparato tutti a chattare con l'AI.
Apri la finestra, scrivi il prompt, ottieni la risposta.
Poi chiudi. E la volta dopo ricominci da capo, come se non ti conoscesse.
Stessa cosa ogni giorno. Chat che si dimenticano tutto, memoria che decide da sola cosa tenere, progetti chiusi in silos che non si parlano tra loro.
Poi i modelli sono diventati potentissimi. E qui è su…
Ciao raga, io dico sempre di essere fortunato, perché negli ultimi 10 anni ho lavorato con alcuni dei personal brand più famosi del nostro paese e ho imparato molto.
Se c’è una cosa di cui sono convinto è che negli ultimi 10 anni c'è stato un bug nel sistema.
Bastava esporsi per ottenere pubblico. Anche senza essere il più bravo. Anche senza avere niente di vero da dire.
Quel bug si sta chiudendo.
E quando un bug …
Showing the 12 most recent of 27 posts we hold for @dariovignali. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 27 most recent posts we hold, published 15 April 2026 to 2 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 26 September 2026 — this
entry's latest reading, not the date you are reading this.
“Dario Vignali & Marketers” (@dariovignali), 16,572 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/dariovignali.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.
