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Channel

Первый Питерский

@piterguru

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

207,013subscribers

-5,810 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001696613419
TypeChannel
Username@piterguru
DescriptionПервый канал о Питере. По рекламе: @mossovet Работаем с @Tgpodbor_official, @swaymedia и @Spiral_Yuri Предложить новость: @piterguru_bot РКН: https://clck.ru/3GiqrZ
Created7 July 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held66
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/piterguru

Topic

Local community — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 2026 and assigned it the closest of 31 fixed categories, at 42% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 7 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@piterguru/29390 · this entry17 Oct 2026, 08:08 UTC@interespiter/2334817 Oct 2026, 14:45 UTC0.946.6 hours
@interespiter/2349428 Oct 2026, 14:03 UTC@piterguru/29556 · this entry28 Oct 2026, 15:06 UTC0.9463 minutes
@piterguru/28622 · this entry30 Aug 2026, 13:06 UTC@interespiter/2266430 Aug 2026, 13:09 UTC0.943 minutes
@piterguru/29590 · this entry30 Oct 2026, 08:41 UTC@interespiter/2352130 Oct 2026, 09:56 UTC0.9474 minutes
@interespiter/2341622 Oct 2026, 13:09 UTC@piterguru/29471 · this entry22 Oct 2026, 14:47 UTC0.931.6 hours
@piterguru/29638 · this entry2 Nov 2026, 14:02 UTC@interespiter/235562 Nov 2026, 15:42 UTC0.921.7 hours
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@interespiter36 (8/8 hand-verifiable sample passed)0.9367 minutesthis entry (21–15)
@lifepetersburg25 (8/8 hand-verifiable sample passed)0.942.1 hoursthis entry (25–0)
@piteronline124 (8/8 hand-verifiable sample passed)0.9416 minutesthis entry (17–7)
@spb24live10 (8/8 hand-verifiable sample passed)0.9520 minutesthis entry (10–0)
@mosguru10 (8/8 hand-verifiable sample passed)0.9534 minutesthis entry (6–4)
@moskwa_life6 (6/6 hand-verifiable sample passed)0.9412 hoursthis entry (6–0)
@piterach7 (7/7 hand-verifiable sample passed)1.0061 minutesthis entry (5–2)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 25 of the 25 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 983 comparable posts for this entry, running 4 August 2026 to 11 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Recorded under the keys clone_mutual · clone_source, last confirmed 12 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Growth

207,013212,823209,9186 August 202610 November 2026
66 measurements spanning 97 days, net -5,810. 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 206,142–213,695 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 66
Measured (UTC)SubscribersChange
10 Nov 2026, 23:57207,013-75
9 Nov 2026, 11:16207,088-74
8 Nov 2026, 01:00207,162-33
6 Nov 2026, 22:29207,195-58
6 Nov 2026, 01:01207,253-60
4 Nov 2026, 22:36207,313-76
3 Nov 2026, 18:44207,389-55
2 Nov 2026, 20:54207,444-76
1 Nov 2026, 19:01207,520-58
31 Oct 2026, 19:40207,578-71
30 Oct 2026, 19:17207,649-67
29 Oct 2026, 17:54207,716-72
28 Oct 2026, 15:59207,788-50
27 Oct 2026, 18:09207,838-40
26 Oct 2026, 20:10207,878-11
25 Oct 2026, 19:00207,889-75
24 Oct 2026, 21:15207,964-77
23 Oct 2026, 22:46208,041-46
22 Oct 2026, 22:26208,087-55
21 Oct 2026, 22:28208,142first reading

Engagement

1,264 posts held, back to 4 August 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 198 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.20%
avg views ÷ 207,013 subscribers
Avg views / post
14,900
351 posts measured
Reaction rate
0.995%
reactions ÷ views · ER floor
Posts in window
351
of 1,264 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 11 November 2026
Posts held1,264 (4 August 2026 – 11 November 2026)
Views total5,229,110
Reactions total52,020
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 02:18 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
≈14,600
Videos
≈6,700
Links
≈13,700

Lifetime counters from Telegram’s own channel header, read 12 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
1h 46m
Average length
30s

Measured directly from 215 videos 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

137,377 reactions across 1,000 posts, in 63 distinct kinds. The most used accounts for 18.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤25,74418.7%
🤣16,23111.8%
👎14,27410.4%
💊13,81210.1%
😢8,8406.43%
👍8,7996.41%
😁8,6186.27%
🔥7,4355.41%
😱4,2943.13%
🤯4,0142.92%
😭2,6971.96%
🤔2,6831.95%
🙏2,4661.80%
🥴1,8221.33%
❤‍🔥1,4991.09%
👏1,3100.954%
👀1,2240.891%
😨1,1850.863%
😐1,0520.766%
🙈9500.692%
43 further kinds8,4286.13%

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 1,000 of the 1,000 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 137,377 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 24 August 2026 to 11 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.

Advertising

Ad load
0.8%
8 of 1,000 posts carry an ad marker
Regulatory tokens
8
posts carrying an erid · 8 distinct tokens
Median views · ads
10,100
over 8 measured posts
Median views · rest
13,400
over 992 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2SDnjcM6vfM124 September 202624 September 2026
2SDnjdycDDn129 October 202629 October 2026
2VSb5wX12w4121 September 202621 September 2026
2VtzqvBQnUU125 September 202625 September 2026
2VtzqvZmKnj128 August 202628 August 2026
2VtzqwSLtR3111 October 202611 October 2026
2VtzqwttJop19 November 20269 November 2026
CQH36pWzJqVJ6d6Q3iiCew2em4CXbJJvi5FBHWn2ZvADvA117 September 202617 September 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 24 August 2026 to 11 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

Telegram’s own ‘edited’ marker: 54 of 351 posts held from the last 30 days (15.4%) 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).

11 Nov 2026, 19:07 UTC≈5,050 views53 reactionsread 12 November 2026
Photo

🤩 Фестиваль света устроят в Кронштадте с 25 декабря до 13 января. Мультимедийное шоу порадует граждан на Якорной площади и в саду Морского собора. ⚡️ Первый Питерский

❤40🔥12👍1

11 Nov 2026, 15:27 UTC≈9,190 views231 reactionsread 12 November 2026
Photo

😭 GTA VI может принести проблемы в семейную жизнь российских пар, считает Роза Сябитова. Известная сваха сравнила увлечение видеоиграми с алкоголизмом и наркоманией. Но ссор не будет, если оба партнёра положительно относятся к этому хобби. ⚡️ Первый Питерский

💊170😁30👎16🥴9❤3🏆2🎄1

11 Nov 2026, 13:25 UTC≈12,200 views147 reactionsread 12 November 2026

❄️ Снегопад накроет Санкт-Петербург в пятницу — ожидается до 1-2 сантиметров снежного покрова. ⚡️ Первый Питерский

☃79😁29❤14😭14🤯9🎄1🎅1

11 Nov 2026, 11:24 UTC≈13,700 views115 reactionsread 12 November 2026

😱 Бензина АИ-92 и АИ-95 нет в наличии на заправках «Татнефть» — СМИ. ⚡️ Первый Питерский

😱72🍌14💊9😐8🤣6❤3👍3

11 Nov 2026, 09:39 UTC≈14,500 views205 reactionsread 12 November 2026

❌ Запрет продажи вейпов одобрили в первом чтении в Санкт-Петербурге — ограничения вступят в силу с 1 марта 2027 года, если примут закон. ⚡️ Первый Питерский

🔥97👍47👎44❤11💊6

11 Nov 2026, 07:33 UTC≈15,600 views232 reactionsread 12 November 2026

❗️ Новые станции коричневой ветки метро в Санкт-Петербурге планируют запускать с 2030 года. В 2030 году запустят участок от «Каретной» до «Лиговского проспекта-2», продление до «Суворовской-1» состоится в 2036 году, а до «Полюстровского проспекта-1» — в 2040. ⚡️ Первый Питерский

🤣191🥱29🔥9❤1💘1😢1

11 Nov 2026, 05:27 UTC≈16,200 views42 reactionsread 12 November 2026

❗️ Станцию «Чкаловская» закрыли на вход из-за неисправности эскалатора, которую сейчас устраняют сотрудники метро. ⚡️ Первый Питерский

😢38❤4

10 Nov 2026, 18:02 UTC≈16,700 views128 reactionsread 12 November 2026
Photo

😎 Томат Семён слетал на Камчатку, поучаствовал в марафоне, побывал в метро и поплавал в бассейне. Саженец стал героем блога его хозяина, петербуржца Владислава Олонова. Кадры с ним разрывают соцсети — один из роликов набрал 7,1 млн просмотров. ⚡️ Первый Питерский

❤66💊38😁17❤‍🔥7

10 Nov 2026, 15:51 UTC≈15,100 views53 reactionsread 12 November 2026
Photo

🤩 Сразу два трейлера и арт грядущей GTA VI выпустили Rockstar за сегодня. ⚡️ Первый Питерский

🤪30❤22🎉1

10 Nov 2026, 14:00 UTC≈14,800 views157 reactionsread 12 November 2026
Photo

🤩 Пиво со вкусом питерской соли с ананасом сварили в России. Создатели обещают вкус северной столицы, но с тропическим характером. ⚡️ Первый Питерский

😁66🙈40❤19😨15👎14🔥2💊1

10 Nov 2026, 12:35 UTC≈14,200 views104 reactionsread 12 November 2026
Photo

🫢 Россияне отказываются от бизнес-ланчей в кафе и ресторанах, рассказали эксперты торговли и ритейла. Денег у людей становится всё меньше а сами рестораны страдают от сокращения рынка готовой еды. Покупатели переходят на еду из супермаркетов. ⚡️ Первый Питерский

🔥43💯25🥱15❤9😢9😨2👍1

10 Nov 2026, 11:31 UTC≈13,100 views71 reactionsread 12 November 2026

⚡️ Кредитов на 45,4 млрд рублей набрали петербуржцы только за октябрь — Национальное бюро кредитных историй. В свою очередь, в Ленинградской области одобрили заявки на 11,5 млрд рублей. ⚡️ Первый Питерский

😱47😢11😍7😁3👻2❤1

Showing the 12 most recent of 1,264 posts we hold for @piterguru. 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.

Posts edited after publishing

@piterguru edited 4 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
12 August 2026
Most recent edit
22 October 2026

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

Питерач • Новости Питера
@piterach · 240,982
#1
ВПШ
@pravdadirty · 1,391,255
#2
Питер сегодня
@spbtoday · 348,892
#3
Питер Live
@live_piter · 537,342
#4
Питерская Хроника
@piterburg · 147,798
#5
Mash на Мойке
@mashmoyka · 342,242
#6
Карманный Питер
@pocket_spb · 7,429
#7
Раньше всех. Ну почти.
@bbbreaking · 1,975,436
#8
Москвач • Новости Москвы
@moscowach · 3,872,110
#9
Фонтанка SPB Online
@fontankaspb · 408,634
#10
Прямой Эфир • Новости
@novosti_efir · 3,880,315
#11
True Питер - Настоящий Питер
@true_piter · 253,023
#12
Первый Московский
@mosguru · 3,426,640
#13
КК
@petrovtel · 541,590
#14
Петербург с огоньком
@pitertop · 135,133
#15
Рифмы и Панчи 🤯
@rhymestg · 1,527,518
#16
KOSTI
@kosti · 550,418
#17
Санкт-Петербург online | Saintpgo
@saintpgoo · 104,537
#18
Питер Live
@pitlive · 227,664
#19
Новости Москвы
@moscowmap · 2,620,198
#20
ДТП И ЧП СПб
@dtp_spb78 · 111,077
#21
Ньюсач/Двач
@ru2ch · 710,451
#22
ТОПОР - Горячие новости
@topor · 1,291,254
#23
Лука Ебков
@luka_ebkov · 429,055
#24
Санкт-Петербург Life
@lifepetersburg · 105,811
#25
Москва+
@moscowplus · 1,210,335
#26
Москва сегодня
@moscow · 2,788,929
#27
Куда пойти в Питере
@gopeterburg · 110,901
#28
Мегаполис | ДТП и ЧП | Санкт-Петербург | Питер💡
@Megapolisonline · 78,605
#29
Петербург Новостной
@piternaneve · 31,419
#30
Московская Хроника
@mosnews · 2,687,429
#31
Мой Питер
@petrograd_my · 78,488
#32
Петербург сейчас
@nowspb · 38,949
#33
Санкт-Петербург LIVE
@spb_smi · 184,572
#34
Mash
@mash · 3,140,033
#35
Двач
@dvachannel · 969,125
#36
Varlamov News
@varlamov_news · 1,058,487
#37
Москва Live
@msk_live · 1,798,812
#38
Дима Масленников
@maslennikovliga · 2,100,037
#39
КОНТЕКСТ
@kontext_channel · 865,039
#40
Медуза — LIVE
@meduzalive · 1,116,844
#41
4ch
@why4ch · 1,021,012
#42
Екатерина Мизулина
@ekaterina_mizulina · 924,594
#43
Эксплойт
@exploitex · 2,021,350
#44
FEMALE MEMES
@femalememes · 399,175
#45
Мир сегодня с "Юрий Подоляка"
@yurasumy · 2,662,248
#46
Кровавая барыня
@bloodysx · 1,172,481
#47
Exile
@exilemusic13 · 1,438,654
#48
здесь живет броен
@br1anm7ps · 1,096,289
#49
НМШ
@nmshhub · 669,331
#50
Леонардо Дайвинчик
@leoday · 5,541,742
#51
ПАРАДЕЕВИЧ
@paradeevich · 1,044,769
#52
PETROVA
@milanapetrovaqueen · 197,538
#53
Данила Кашен
@DKNASASAL · 384,633
#54
москоутиндер
@moscowtinderr · 742,791
#55
SHOT
@shot_shot · 1,265,529
#56
РИМ 🕊
@rhymesrim · 286,380
#57
Клиент всегда прав
@klientvsprav · 1,022,641
#58
КБ
@cbpub · 667,477
#59
Артемий Лебедев
@temalebedev · 971,105
#60
ЕГОР КРИД
@egorkreed · 730,860
#61
Пекарня
@pekagame · 1,117,922
#62
Бэкдор
@whackdoor · 1,538,229
#63
Ateo Breaking
@ateobreaking · 742,328
#64
Сегодня в тренде
@trends · 1,112,806
#65
Тесты и точка.
@test_dot · 509,139
#66
Вероника Степанова
@veronikastepanova20011 · 485,372
#67
Любимый ВПШ 😮‍💨
@lyubimyivpsh · 141,912
#68
ок, согласовано
@notypicmarketing · 707,978
#69
TrendWatching
@trendwatching24 · 1,375,035
#70
78 | НОВОСТИ
@good78news · 102,934
#71
Глеб три дня дождя
@everydayrain · 235,683
#72
Осторожно, новости
@ostorozhno_novosti · 1,621,101
#73
Baza
@bazabazon · 1,557,057
#74
NN
@naebnet · 2,177,794
#75
Премиум эмодзи | стикеры | Premium Emoji
@TgEmojis · 1,694,583
#76
ЭТО ЗНАК
@etoznakmag · 631,287
#77
ВИЛСАКОМ РЕД / WYLSACOM RED
@wylsared · 1,088,291
#78
Kuplinov ► Play
@Kuplinov_Telegram · 905,332
#79
Бустер 🍄
@bigpencil · 1,220,612
#80
Кинопоиск | Фильмы и сериалы
@kinopoisk · 794,341
#81

Read from Telegram’s recommendation API, most recently 11 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Телеблог Санкт Петербург Питер Выборг Мурино Гатчина Всеволожск Сертолово Кудрово новости реклама Объявления Афиша квартиры
@russian_business2020 · 16,823
Telegram ranks this channel #7 of 66 here — alongside 65 others — read 16 September 2026
Питер сегодня
@piter_headline · 31,668
Telegram ranks this channel #11 of 67 here — alongside 66 others — read 5 September 2026
Питер 1703
@spiter_live · 41,714
Telegram ranks this channel #11 of 82 here — alongside 81 others — read 29 August 2026
Санкт-Петербург online | Saintpgo
@saintpgoo · 104,537
Telegram ranks this channel #11 of 82 here — alongside 81 others — read 15 August 2026
MDK Петербург
@MDK_Petersburg · 26,707
Telegram ranks this channel #13 of 87 here — alongside 86 others — read 11 September 2026
Мой Питер
@petrograd_my · 78,488
Telegram ranks this channel #13 of 81 here — alongside 80 others — read 18 August 2026
Питерская Хроника
@piterburg · 147,798
Telegram ranks this channel #13 of 89 here — alongside 88 others — read 12 August 2026
Санкт-Петербург сегодня
@spb_burg · 37,653
Telegram ranks this channel #15 of 68 here — alongside 67 others — read 31 August 2026
Новости Питера | Санкт Петербурга
@spbnews0 · 57,487
Telegram ranks this channel #17 of 67 here — alongside 66 others — read 23 August 2026
Питер в голове • Про Санкт-Петербург • СПБ
@piter_v_golove · 82,666
Telegram ranks this channel #17 of 82 here — alongside 81 others — read 19 August 2026
Питер сегодня
@spbtoday · 348,892
Telegram ranks this channel #17 of 77 here — alongside 76 others — read 10 August 2026
Питер для детей • Афиша
@detstvo_spb · 49,727
Telegram ranks this channel #18 of 78 here — alongside 77 others — read 25 August 2026
Санкт-Петербург | События | Новости
@Piter_narod · 27,244
Telegram ranks this channel #19 of 70 here — alongside 69 others — read 24 September 2026
Концерты и Театры • Скидки • Афиша в СПБ
@theater_piter · 31,616
Telegram ranks this channel #19 of 77 here — alongside 76 others — read 5 September 2026
Эй, Питер!
@spb_state · 49,820
Telegram ranks this channel #19 of 87 here — alongside 86 others — read 25 August 2026
Питер и дети • Куда сходить?
@spb_detstvo · 19,099
Telegram ranks this channel #20 of 75 here — alongside 74 others — read 3 October 2026
Питерач • Новости Питера
@piterach · 240,982
Telegram ranks this channel #20 of 82 here — alongside 81 others — read 11 August 2026
Петербург Новостной
@piternaneve · 31,419
Telegram ranks this channel #21 of 84 here — alongside 83 others — read 5 September 2026
Санкт-Петербург LIVE
@spb_smi · 184,572
Telegram ranks this channel #21 of 62 here — alongside 61 others — read 12 August 2026
Питер Live
@live_piter · 537,342
Telegram ranks this channel #21 of 85 here — alongside 84 others — read 9 August 2026
Петербург с огоньком
@pitertop · 135,133
Telegram ranks this channel #22 of 90 here — alongside 89 others — read 13 August 2026
True Питер - Настоящий Питер
@true_piter · 253,023
Telegram ranks this channel #22 of 86 here — alongside 85 others — read 11 August 2026
ДТП И ЧП СПб
@dtp_spb78 · 111,077
Telegram ranks this channel #26 of 81 here — alongside 80 others — read 15 August 2026
Петербург 1703
@town1703 · 65,589
Telegram ranks this channel #27 of 79 here — alongside 78 others — read 31 August 2026

This channel appears in 41 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“Первый Питерский” (@piterguru), 207,013 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/piterguru.

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.