Technology — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 78% 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 the other topics.
Growth
24 measurements spanning 86 days, net -244. 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 6,932–7,250 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)
Subscribers
Change
1 Nov 2026, 13:50
6,969
-7
29 Oct 2026, 15:55
6,976
-12
26 Oct 2026, 07:16
6,988
-12
23 Oct 2026, 01:27
7,000
-8
20 Oct 2026, 08:50
7,008
-6
17 Oct 2026, 13:55
7,014
-7
14 Oct 2026, 22:41
7,021
-8
11 Oct 2026, 16:01
7,029
-23
5 Oct 2026, 11:56
7,052
-22
27 Sept 2026, 14:15
7,074
-33
18 Sept 2026, 12:01
7,107
-8
13 Sept 2026, 23:00
7,115
-13
10 Sept 2026, 11:41
7,128
-12
5 Sept 2026, 02:14
7,140
-7
1 Sept 2026, 02:37
7,147
-10
29 Aug 2026, 00:34
7,157
-4
25 Aug 2026, 20:22
7,161
-6
23 Aug 2026, 00:35
7,167
-11
19 Aug 2026, 19:12
7,178
-6
16 Aug 2026, 22:08
7,184
first reading
Engagement
28 posts held, back to 20 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 13 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
13.7%
avg views ÷ 6,969 subscribers
Avg views / post
952
5 posts measured
Reaction rate
0.333%
reactions ÷ views · ER floor
Posts in window
5
of 28 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. It is computed over the 4 of 5 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 2 November 2026
Posts held
28 (20 April 2026 – 2 November 2026)
Views total
4,762
Reactions total
15
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Nov 2026, 13:58 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
Photos
172
Videos
9
Links
748
Lifetime counters from Telegram’s own channel header, read 3 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
128 reactions across 27 posts, in 5 distinct kinds. The most used accounts for 70.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
90
70.3%
👍
20
15.6%
🔥
14
10.9%
👏
3
2.34%
🥰
1
0.781%
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 27 of the 28 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 128 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 28 most recent posts we hold, published 20 April 2026 to 2 November 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.
Las inscripciones al curso de Renderización Profesional con IA ya están abiertas.
Es el curso donde te enseño a controlar la IA para crear renders que no cambian tu proyecto. En la formación vamos a trabajar el proceso completo, tanto para interiores como para exteriores, y también aprenderás a crear animaciones a partir de tus renders. Además, tendrás los 41 prompts que utilizo en las clases, el Prompt PRO y el plu…
Ya salió SketchUp 2027 y he grabado un vídeo enseñándote sus novedades por dentro, y si te conviene actualizar ya.
Lo que más me ha gustado son los procedimientos. Sígueme, los sólidos y la nueva Copy Along ya no son definitivos: cambias el recorrido, el modelo se adapta y no tienes que volver a modelar.
También trae la sección rayada por material, Live Components que se ajustan solos a la cara y, en LayOut, dibujo…
Hola a todos.
Si alguna vez le has pedido un render a la inteligencia artificial, seguro que te ha pasado esto: te devuelve una imagen bonita, sí, pero no es tu proyecto. Te cambia los muebles, te cambia los materiales, y a veces hasta la luz.
Del 27 al 29 de octubre voy a hacer la Semana del Render con IA, tres clases online y en directo en las que voy a mostrar cómo controlar la IA para generar renders que no cam…
Hola a todos. Hoy a las 19:00 de España (11:00 a. m. en México) es la masterclass gratuita: cómo conseguir clientes sin ser el presupuesto más barato.
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«Nunca me he preocupado por tener clientes, solos han llegado por recomendación.»
Me lo escribió alguien al apuntarse a uno de mis eventos. Y funciona. Hasta el mes en que no llama na…
Hola a todos, ¿qué tal?
El lunes 12 de octubre hago una masterclass gratuita en directo: cómo conseguir clientes sin ser el presupuesto más barato.
👉 Apúntate aquí: https://jacobsen3d.com/masterclass-conseguir-clientes/
Mandas un presupuesto, el cliente te dice que lo va a pensar y no vuelve a contestar. Semanas después te enteras de que se lo dio a otro, más barato.
No es que tu trabajo valga menos. Es que ese c…
Buenos días a todos!
Hoy a las 19:00 de España, haré una Masterclass sobre cómo controlar la IA para que renderice sin alterar el proyecto.
Será en este enlace:
https://youtube.com/live/ZQZpiwhAxyA
🎥 Nuevo vídeo en el canal
Césped realista en V-Ray con Scatter — paso a paso.
El pasto es de los detalles que más delatan un render como "falso". En este vídeo te muestro cómo crear un césped fotorrealista con control total sobre densidad, tamaño y variación. Sirve para V-Ray en SketchUp, Rhino, 3ds Max o Revit.
Te enseño los ajustes que de verdad importan (y el error típico con el "max count" que hace creer a muc…
👋 Ya casi está aquí: masterclass gratuita y en directo, el martes 21 a las 19:00 (hora de España).
Vas a ver por qué la IA no te da buenos resultados y cuál es el proceso correcto para lograrlo, con el control en tus manos.
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👋 El martes 21 a las 19:00 (hora de España) hago una masterclass gratuita y en directo: Cómo controlar la IA para conseguir renders profesionales.
Si has probado la IA para tus renders y te cambia el proyecto o te da algo genérico, ahí vas a entender por qué pasa y qué proceso seguir para conseguir renders coherentes y que venden.
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❤5
Signed Robson Jacobsen
Showing the 12 most recent of 28 posts we hold for @comunidadjacobsen3d. 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.
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 1 November 2026 — this
entry's latest reading, not the date you are reading this.
“Robson Jacobsen - Canal Jacobsen3D” (@comunidadjacobsen3d), 6,969 subscribers as measured 1 November 2026. Telegram Register, tgregister.com/channel/comunidadjacobsen3d.
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.
