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Channel

Техножрица 👩‍💻👩‍🏫👩‍🔧

@tech_priestess

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Polls · Citations · Telegram's recommendations · Cite this entry

15,110subscribers

+376 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-1001632569361
TypeChannel
Username@tech_priestess
DescriptionЛюблю высокие технологии и кушать. Добро пожаловать, если в сферу твоих интересов тоже входят математика, DL, NLP, программирование на Python, или тебе просто любопытно, о чем на досуге размышляют люди, занимающиеся разработкой и исследованиями в ML.
Created12 September 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live9 November 2026
Measurements held58
Confirmed unchanged1 time, most recently 9 November 2026
On Telegramt.me/tech_priestess

Topic

Other / unclassifiable — 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 60% 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

14,72015,11514,917.56 August 2026 — 14,734 subscribers6 August 2026 — 14,734 subscribers7 August 2026 — 14,731 subscribers8 August 2026 — 14,729 subscribers9 August 2026 — 14,730 subscribers10 August 2026 — 14,735 subscribers11 August 2026 — 14,728 subscribers12 August 2026 — 14,720 subscribers13 August 2026 — 14,729 subscribers14 August 2026 — 14,732 subscribers16 August 2026 — 14,735 subscribers17 August 2026 — 14,768 subscribers18 August 2026 — 14,795 subscribers19 August 2026 — 14,801 subscribers20 August 2026 — 14,811 subscribers21 August 2026 — 14,808 subscribers24 August 2026 — 14,807 subscribers25 August 2026 — 14,816 subscribers26 August 2026 — 14,814 subscribers27 August 2026 — 14,819 subscribers29 August 2026 — 14,814 subscribers30 August 2026 — 14,807 subscribers31 August 2026 — 14,810 subscribers1 September 2026 — 14,814 subscribers3 September 2026 — 14,812 subscribers4 September 2026 — 14,808 subscribers7 September 2026 — 14,817 subscribers10 September 2026 — 14,825 subscribers12 September 2026 — 14,824 subscribers14 September 2026 — 14,853 subscribers16 September 2026 — 14,852 subscribers18 September 2026 — 14,855 subscribers25 September 2026 — 14,890 subscribers4 October 2026 — 15,019 subscribers8 October 2026 — 15,057 subscribers12 October 2026 — 15,078 subscribers14 October 2026 — 15,085 subscribers15 October 2026 — 15,093 subscribers16 October 2026 — 15,101 subscribers17 October 2026 — 15,104 subscribers19 October 2026 — 15,106 subscribers22 October 2026 — 15,102 subscribers23 October 2026 — 15,103 subscribers24 October 2026 — 15,104 subscribers25 October 2026 — 15,100 subscribers26 October 2026 — 15,108 subscribers26 October 2026 — 15,109 subscribers27 October 2026 — 15,111 subscribers28 October 2026 — 15,114 subscribers29 October 2026 — 15,112 subscribers31 October 2026 — 15,113 subscribers1 November 2026 — 15,114 subscribers2 November 2026 — 15,110 subscribers3 November 2026 — 15,115 subscribers5 November 2026 — 15,106 subscribers6 November 2026 — 15,111 subscribers7 November 2026 — 15,115 subscribers9 November 2026 — 15,110 subscribers15,1106 August 20269 November 2026
58 measurements spanning 96 days, net +376. 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 14,661–15,174 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 58
Measured (UTC)SubscribersChange
9 Nov 2026, 19:1715,110-5
7 Nov 2026, 04:3715,115+4
6 Nov 2026, 00:5515,111+5
5 Nov 2026, 00:0115,106-9
3 Nov 2026, 02:4715,115+5
2 Nov 2026, 03:1615,110-4
1 Nov 2026, 01:3815,114+1
31 Oct 2026, 01:0015,113+1
29 Oct 2026, 21:2815,112-2
28 Oct 2026, 20:4615,114+3
27 Oct 2026, 22:5515,111+2
26 Oct 2026, 22:3615,109+1
26 Oct 2026, 00:2015,108+8
25 Oct 2026, 03:2015,100-4
24 Oct 2026, 02:4615,104+1
23 Oct 2026, 01:4715,103+1
22 Oct 2026, 04:2015,102-4
19 Oct 2026, 19:2015,106+2
17 Oct 2026, 15:3715,104+3
16 Oct 2026, 17:1015,101first reading

Engagement

58 posts held, back to 7 July 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 70 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
35.1%
avg views ÷ 15,110 subscribers
Avg views / post
5,310
12 posts measured
Reaction rate
2.58%
reactions ÷ views · ER floor
Posts in window
12
of 58 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 9 November 2026
Posts held58 (7 July 2026 – 9 November 2026)
Views total63,730
Reactions total1,647
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 06:59 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
≈1,620
Videos
≈79
Links
≈835

Lifetime counters from Telegram’s own channel header, read 11 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
4m 18s
Average length
43s

Measured directly from 6 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

8,097 reactions across 58 posts, in 59 distinct kinds. The most used accounts for 20.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁1,67120.6%
❤97012.0%
custom 538663208295073448186210.6%
🤣7068.72%
🤡5486.77%
👍4315.32%
custom 53868090098335242833364.15%
💯3364.15%
custom 52492297311900242772533.12%
custom 53886317552992406872453.03%
🔥2322.87%
custom 53889637605661896842212.73%
🥰1702.10%
💔1471.82%
🥴1351.67%
💅1101.36%
😭1061.31%
💩931.15%
🫡891.10%
❤‍🔥570.704%
39 further kinds3794.68%

Custom emoji. 5 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.

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 58 of the 58 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 8,097 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 58 most recent posts we hold, published 7 July 2026 to 9 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.

Telegram Stars

Stars received
45
across the posts below
Posts paid on
14
of 58 we hold a reading for · 24%
Most on one post
9
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @tech_priestess. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 58 most recent posts we hold for this entry, published 7 July 2026 to 9 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

Telegram’s own ‘edited’ marker: 1 of 12 posts held from the last 30 days (8.33%) 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).

9 Nov 2026, 21:00 UTC≈2,490 views158 reactionsread 11 November 2026
Forwarded from @quantbarbiePhoto

подготовились к бимбо зиме с @tech_priestess 💅🏻 #дневник

🔥77💅38❤17🤯11custom 53866320829507344814💘3🍌2💋2

6 Nov 2026, 21:29 UTC≈5,310 views122 reactionsread 11 November 2026
Photo

Мудрость древних техножрецов на ночь (сос мыслом...) https://www.catb.org/jargon/html/koans.html #ретро #ML_отцов

❤65custom 538680900983352428317😁12🤔9custom 53866320829507344818🔥4custom 53886317552992406874🤣3

6 Nov 2026, 16:01 UTC≈5,400 views236 reactionsread 11 November 2026
Photo

Когда случайно заходишь на claude.ai с российского ip

custom 5249229731190024277134😭38custom 538663208295073448123🤣20custom 53889637605661896848custom 53868090098335242836❤2custom 54720897945635459302

4 Nov 2026, 09:07 UTC≈5,240 views96 reactionsread 11 November 2026

Я стараюсь каждый год рецензировать по паре статей для Workshop on Insights from Negative Results in NLP. Делаю это для души: сама я туда статьи пока что не подавала, просто считаю этот воркшоп важным и полезным. Он посвящен редкой теме: отрицательным результатам в NLP, то есть случаям, когда в исследовании что-то не получилось. Обычно в науке про такое не пишут, а публикуют только истории в духе "мы применили такой-…

❤44🔥22custom 53886317552992406879custom 53866320829507344816❤‍🔥4💩3custom 53868090098335242833👍2

24 Oct 2026, 13:49 UTC≈5,470 views26 reactionsread 11 November 2026
Forwarded from @deep_learning_school_newsPhoto

🟥Diffusion Week 2026: предварительное расписание Хотим напомнить про наше новое мероприятие — Diffusion Week 2026! Это серия онлайн-лекций о диффузионных моделях от DLS, которая пройдет с 29 октября по 6 ноября, в рамках которой мы разберём основы и углубимся в актуальные направления исследований: видеодиффузия, world models, интерпретируемость и ускорение диффузионных моделей. Полное расписание уже доступно на сай…

🔥13❤4custom 53866320829507344814🤩2⚡1👍1👏1

23 Oct 2026, 12:46 UTC≈5,410 views70 reactionsread 11 November 2026

⬆️ я тоже там планирую быть, регистрируйтесь 🏦

custom 538663208295073448130👎15👍9❤4🔥3🤪3custom 53889637605661896843👏1

23 Oct 2026, 12:45 UTC≈5,210 views37 reactionsread 11 November 2026
Forwarded from @SberAIScienceVideo

ДВА ДНЯ В ЭПИЦЕНТРЕ ИИ-СОБЫТИЙ 🚀 Приглашаем на AI Journey — международную конференцию для тех, кто создаёт ИИ, внедряет его в продукты и тестирует возможности современных технологий. Два дня — два повода побывать на самой жаркой научной ИИ-тусовке года. Тем более что здесь соберутся спикеры со всего мира 🤩 ДЕНЬ БИЗНЕСА 🤖 27 ноября Презентации решений, которые работают здесь и сейчас. Опыт коллег, которые превраща…

😁15💊7👎5💋3❤2👍2🔥2custom 54720897945635459301

21 Oct 2026, 09:09 UTC≈5,780 views89 reactionsread 11 November 2026

⬆️ Лично знаю чела и могу поручиться, что он шарит. Так что рекомендация искренняя.

custom 538680900983352428353💩16❤9👍7🥰3🔥1

21 Oct 2026, 09:07 UTC≈5,700 views105 reactionsread 11 November 2026
Forwarded from @brenoritvrezorkre_channel

Набираю учеников по символьной (формальной, математической) логике. Писать: @amaka_hahina 1500 рублей/час. Пробное занятие – 500 рублей. Вы сможете сделать его более продуктивным, если напишете о своём бэкграунде мне в личные сообщения. Это меньше, чем можно потратить в походе в магазин за продуктами. Частоту занятий можно оговорить, но у меня должно быть время для подготовки презентаций. Сразу предупреждаю, чт…

❤42custom 538863175529924068728💩18👍10🥰3😁2custom 53889637605661896842

20 Oct 2026, 06:13 UTC≈6,410 views151 reactionsread 11 November 2026
Poll

Клоуны за:

  1. Илона Маска 🤡23%
  2. Машину 🤡7%
  3. Физические формулы 🤡16%
  4. Просто так, от души ❤️54%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

🤡116🤣13🥰9custom 53866320829507344817💊2custom 53868090098335242832❤1custom 54720897945635459301

19 Oct 2026, 21:05 UTC≈5,920 views322 reactions1 Starread 11 November 2026
Forwarded from @notes_of_physVideo

Будущее наступило, или Как я перестал беспокоиться и снова полюбил Илона Маска За последние годы Илон Маск дал немало поводов относиться к нему, мягко говоря, неоднозначно. Но есть одна вещь, которую у него не отнять: этот человек умеет воплощать в жизнь вещи, которые ещё недавно казались научной фантастикой. И вот теперь Tesla продемонстрировала летающий автомобиль. Да, буквально. Новая Roadster способна отрыватьс…

🤡142❤108custom 538663208295073448130💩14👍12🔥6😁4custom 53886317552992406873

18 Oct 2026, 11:21 UTC≈5,390 views235 reactionsread 11 November 2026
Photo

Теории заговора, которые являются правдой: 1. Компании специально обучают LLM говорить что у них нет сознания на этапе RLHF. #теории_заговора

👍127custom 547208979456354593040custom 538663208295073448127😁19🤯9💯8💘3❤2

Showing the 12 most recent of 58 posts we hold for @tech_priestess. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

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.

20 Oct 2026, 06:13 UTCAnonymous Quiz1,170 voters approx.

Клоуны за:

  1. Илона Маска 🤡23%
  2. Машину 🤡7%
  3. Физические формулы 🤡16%
  4. Просто так, от души ❤️54%

Shares as published. 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 58 most recent posts we hold, published 7 July 2026 to 9 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 7 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.

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.

Neural Shit
@NeuralShit · 54,643
Telegram ranks this channel #7 of 92 here — alongside 91 others — read 24 August 2026
Data Secrets
@data_secrets · 96,159
Telegram ranks this channel #9 of 98 here — alongside 97 others — read 17 August 2026
Ряды Фурье
@Fourier_series · 43,923
Telegram ranks this channel #11 of 93 here — alongside 92 others — read 29 August 2026
Denis Sexy IT 🤖
@denissexy · 140,753
Telegram ranks this channel #11 of 95 here — alongside 94 others — read 13 August 2026
Yandex for ML
@yandexforml · 19,136
Telegram ranks this channel #13 of 96 here — alongside 95 others — read 4 October 2026
Техасский Вестник
@starbasepost · 19,255
Telegram ranks this channel #15 of 92 here — alongside 91 others — read 4 October 2026
Machine learning Interview
@machinelearning_interview · 30,562
Telegram ranks this channel #16 of 98 here — alongside 97 others — read 7 September 2026
Not Boring Tech
@notboring_tech · 21,122
Telegram ranks this channel #17 of 91 here — alongside 90 others — read 26 September 2026
TechSparks
@techsparks · 46,736
Telegram ranks this channel #19 of 97 here — alongside 96 others — read 27 August 2026
Sber AI
@SberAIScience · 26,483
Telegram ranks this channel #22 of 95 here — alongside 94 others — read 10 September 2026
Искусственный интеллект. Высокие технологии
@vistehno · 70,139
Telegram ranks this channel #22 of 94 here — alongside 93 others — read 20 August 2026
Малоизвестное интересное
@theworldisnoteasy · 74,298
Telegram ranks this channel #22 of 94 here — alongside 93 others — read 19 August 2026
Take Friends to Luna Park
@hrlunapark · 21,014
Telegram ranks this channel #24 of 88 here — alongside 87 others — read 28 September 2026
8БИТ. Журнал Яндекс Образования
@journal_yandex_education · 18,835
Telegram ranks this channel #28 of 97 here — alongside 96 others — read 4 October 2026
Бурый
@sburyi · 20,159
Telegram ranks this channel #28 of 93 here — alongside 92 others — read 4 October 2026
Поступашки - ШАД, Стажировки и Магистратура
@postypashki_old · 47,200
Telegram ranks this channel #30 of 90 here — alongside 89 others — read 28 August 2026
настенька и графики
@nastengraph · 28,082
Telegram ranks this channel #34 of 94 here — alongside 93 others — read 9 September 2026
Digital Ниндзя
@digital_ninjaa · 41,032
Telegram ranks this channel #34 of 91 here — alongside 90 others — read 30 August 2026
Яндекс Образование
@Education_Yandex · 38,032
Telegram ranks this channel #37 of 96 here — alongside 95 others — read 31 August 2026
АйТиБорода
@itbeard · 19,001
Telegram ranks this channel #39 of 93 here — alongside 92 others — read 3 October 2026
Data Science | Machinelearning [ru]
@devsp · 19,651
Telegram ranks this channel #39 of 91 here — alongside 90 others — read 30 September 2026
Зоопарк из слоновой кости
@ivoryzoo · 32,048
Telegram ranks this channel #39 of 97 here — alongside 96 others — read 6 September 2026
Метаверсище и ИИще
@cgevent · 53,591
Telegram ranks this channel #40 of 92 here — alongside 91 others — read 25 August 2026
Physics.Math.Code
@physics_lib · 146,676
Telegram ranks this channel #40 of 72 here — alongside 71 others — read 13 August 2026

This channel appears in 54 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 9 November 2026 — this entry's latest reading, not the date you are reading this.

“Техножрица 👩‍💻👩‍🏫👩‍🔧” (@tech_priestess), 15,110 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/tech_priestess.

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.