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Channel

Café to sit 🇩🇪

@cafetosit

On this record: Topic · Growth · Engagement · What this channel posts · Posts · Polls · Citations · Handles named that no longer answer · Cite this entry

13,072subscribers

-252 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001282365353
TypeChannel
Username@cafetosit
DescriptionIn unseren privaten Cafés / Bistros bieten wir gleichgesinnten Menschen einen Raum. Vernetzen, treffen, austauschen steht im Fokus. Lernt bei uns die Gastgeber und die Region kennen - als Gast von nebenan, auf der Durchreise, als Urlauber. Willkommen!
Created13 May 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/cafetosit

Topic

Local community — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 85% 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

13,07213,32413,1986 August 202611 November 2026
64 measurements spanning 98 days, net -252. 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 13,034–13,362 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
11 Nov 2026, 22:4813,072-5
10 Nov 2026, 03:4613,077-6
8 Nov 2026, 16:5513,083-5
7 Nov 2026, 08:3813,088-5
6 Nov 2026, 07:4913,093-4
5 Nov 2026, 08:0513,097-3
4 Nov 2026, 04:3713,100-3
3 Nov 2026, 01:1413,103-10
2 Nov 2026, 00:3513,113-6
31 Oct 2026, 23:0913,119-1
30 Oct 2026, 23:3813,120-2
30 Oct 2026, 01:2013,122-4
29 Oct 2026, 01:4013,126-5
28 Oct 2026, 02:5513,131-6
27 Oct 2026, 02:5613,137-3
26 Oct 2026, 01:5713,140-1
24 Oct 2026, 23:4513,141-4
23 Oct 2026, 21:1913,145-2
22 Oct 2026, 23:4013,147-5
20 Oct 2026, 15:1713,152first reading

Engagement

21 posts held, back to 18 November 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 74 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
17.4%
avg views ÷ 13,072 subscribers
Avg views / post
2,270
1 post measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
1
of 21 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
WindowRolling 30 days · latest post in window 2 November 2026
Posts held21 (18 November 2024 – 2 November 2026)
Views total2,270
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Nov 2026, 20:56 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
557
Videos
3
Links
21

Lifetime counters from Telegram’s own channel header, read 14 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.

Recent posts

Telegram’s own ‘edited’ marker: 1 of 1 post held from the last 30 days (100.0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

2 Nov 2026, 15:42 UTC≈2,270 viewsread 14 November 2026
Photo

89191 Nellingen LK Alb-Donau-Kreis Baden-Württemberg PN: @karinmendy Ein ❤️liches Willkommen an ebenso ❤️liche Menschen bei mir und in meiner Boutique Klein und Fein auf der schönen Schwäbischen Alb. Es erwarten Euch sehenswerte Bilder, liebenswerte Geschenkideen, Gespräche und natürlich Kaffee, Tee und was dazu. Wer eine Trommel hat gerne mitbringen, wir haben auch welche. Bitte gebt vorher Bescheid. Wir freuen uns…

11 Oct 2026, 16:09 UTC≈4,190 viewsread 14 November 2026
Photo

38375 Räbke LK Helmstedt Niedersachsen PN: @Blauwanderin Café to sit! Ich lade euch ein am Jacobsweg zwischen Schöppenstedt und Helmstedt Rast zu machen und bei mir einzukehren. Meine kleine Hütte liegt in einer kleinen Siedlung am Waldrand und Kaffee und Tee sind immer da. Ich backe euch gerne auch ein paar Waffeln oder einen Kaiserschmarrn. Oder wie wäre es mit einer goldenen Milch am Kamin? Bei schönem Wetter lä…

7 Oct 2026, 16:12 UTC≈5,100 viewsread 14 November 2026
Photo

09627 Niederbobritzsch LK Mittelsachsen, Nähe Freiberg PN: @auroraBarbara Café to sit! Wir freuen uns nach vorheriger Anmeldung über den Besuch von Menschen (-nicht Personen-) und auf den Austausch mit Allen, die einen Blick über den Tellerrand hinaus wagen. In unserer Wohnküche findet sich Platz auch für eine größere Gruppe bei Tee, Kaffee und leckeren Kuchen. Im Sommer lädt der naturnahe Garten mit Bachlauf abs…

30 Sept 2026, 11:23 UTC≈5,670 viewsread 14 November 2026
Photo

Häuschen im Wald 28870 Ottersberg LK Verden Niedersachsen PN: @seeschwalbe Herzlich willkommen im Häuschen im Wald. Hier entsteht ein Ort zum " Seele baumeln lassen", inform eines "Heilgartens". Es liegt am Radweg, Reitweg und Paddelweg, an der Wümme, gemütlich in der Natur. Gern könnt Ihr eine Tasse Tee / Kaffee bekommen, oder, wenn ich es vorher weiss, selbstgebackenen Kuchen.

10 Jun 2026, 12:51 UTC≈7,880 viewsread 14 November 2026
Photo

21720 Steinkirchen (Altes Land) LK Stade Niedersachsen PN: @Shibuja81 Café to sit! Moin in die Runde!🌿 Ich heiße Christiane und wohne in Steinkirchen im Alten Land - vor den Toren Hamburgs. Hier betreibe ich ein kleines B&B mit idyllischen Garten🌸. Mein Garten ist ein Kraftort zum Entschleunigen und Wohlfühlen. Falls ihr mal in der Nähe seid, kommt gerne auf einen Kaffee und ein nettes Gespräch vorbei. Ich freue mi…

16 May 2026, 17:05 UTC≈10,000 viewsread 14 November 2026
Photo

76534 Baden-Baden LK Baden-Baden Baden-Württemberg PN @Irmgard333 Café to sit! Unser "Café to sit" ist ab sofort eröffnet, wir freuen uns auf Euch und interessante Gespräche über vielseitige Themen: Natur-Garten-Gemeinschaft-Musik-Lebenskunst-Handarbeit-und mehr... Für das leibliche Wohl gibt es Süßes, Pikantes, Flüssiges (alkoholfrei), Warmes, Kaltes, Selbstgemachtes..., das besprechen wir am besten persönlich! …

13 May 2026, 06:06 UTC≈10,200 viewsread 14 November 2026

🥳 5. Geburtstag – wie die Zeit verfolg 🥳 Ich bin allen dankbar, die heute aktiv dabei sind und die dabei waren Wir haben so ein schönes Netzwerk erschaffen 😍 Ich selbst bin heute in KA zu Gast bei einem Cafe, wo ich noch nicht gewesen bin. Freue mich sehr in dieser Runde den Geburtstag zu feiern. Wer noch feiert, dem wünsche ich ❤️liebevolle Stunden ❤️wertvollen Austausch ❤️und berührende Rückblicke

5 May 2026, 15:03 UTC≈7,870 viewsread 14 November 2026
Photo

28790 Schwanewede LK Osterholz Niedersachsen PN: @Tatjan1965 Café to sit! Wir sind Axel & Tatjana, 2 kreative Seelen und wohnen im schönen Dörfchen Meyenburg nahe Bremen. Im Atelier 'Findholz Design' darf Einzigartiges aus gefundenen heimischen Hölzern, bestaunt und auch erworben werden. Auch eine Übernachtungmöglichkeit ist vorhanden. Wir freuen uns auf interessanten Austausch und inspirierende Gespräche. Bei Süße…

30 Apr 2026, 15:58 UTC≈8,460 viewsread 14 November 2026

Cafe to sit - 5. Geburtstag Das wird gefeiert 🥳🥳 13. Mai 2026 🏡 PLZ 76297 - @TildaApfelkern 🏡 lädt ab 14 Uhr ein

28 Apr 2026, 09:30 UTC≈9,810 viewsread 14 November 2026

Es ist der 13. Mai 2021. Wir stecken alle in einer weltlichen Lage, die uns umtreibt und begrenzt. Ich möchte aus dieser Situation ausbrechen, ich möchte echte Begegnungen mit Menschen, die wie ich Freigeist sind, alternative Wege gehen und ganz klar keine Lemminge sind. Das Fundament für „Cafe to sit“ ist gelegt. Am 13. Mai gehen wir online. Ich hätte nie gedacht, dass es eine so große Nachfrage gibt, dass ich so…

Showing the 12 most recent of 21 posts we hold for @cafetosit. 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.

30 Nov 2025, 17:31 UTCAnonymous Poll2,380 voters approx.

Nutz du das Cafe to sit noch?

  1. Ja - natürlich20%
  2. Ein paar mal im Jahr25%
  3. Immer auf Reisen12%
  4. Nein43%
  5. Ich habe auch kein Interesse mehr3%

The shares total 103%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not 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 21 most recent posts we hold, published 18 November 2024 to 2 November 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.

Forward network

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 3 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“Café to sit 🇩🇪” (@cafetosit), 13,072 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/cafetosit.

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.