Telegram RegisterThe public register of Telegram

Channel

какая-то библиотека

@selfmadeLibrary

On this record: Growth · Engagement · Reactions · Stars · Posts · Polls · Citations · Cite this entry

2,851subscribers

-8 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001768707359
TypeChannel
Username@selfmadeLibrary
Created17 February 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/selfmadeLibrary

Growth

2,8512,8592,8556 August 2026 — 2,859 subscribers6 August 2026 — 2,859 subscribers9 August 2026 — 2,856 subscribers12 August 2026 — 2,851 subscribers6 August 202612 August 2026
4 measurements spanning 6 days, net -8. 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 2,850–2,860 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 12:432,851-5
9 Aug 2026, 20:212,856-3
6 Aug 2026, 07:012,859no change
6 Aug 2026, 06:522,859first reading

Engagement

20 posts held, back to 4 April 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 19 December 2025. An engagement rate over an empty window would be a number about nothing.

Reaction mix

536 reactions across 18 posts, in 10 distinct kinds. The most used accounts for 48.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
26248.9%
😭9617.9%
👍8014.9%
👾417.65%
🤬244.48%
💅173.17%
91.68%
🤔40.746%
🐳20.373%
🦄10.187%

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 18 of the 20 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 536reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 4 April 2025 to 19 December 2025, 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
1
across the posts below
Posts paid on
1
of 20 we hold a reading for · 5%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @selfmadeLibrary. 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 20 most recent posts we hold for this entry, published 4 April 2025 to 19 December 2025. 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

19 Dec 2025, 08:47 UTC≈1,470 views11 reactionsread 7 August 2026
Forwarded from @ForbesLifeRussiaPhoto

На сервисе «Яндекс Книги» появился новый раздел «AI про книги», в котором искусственный интеллект может помочь выбрать книгу, исходя из запроса пользователя. Об этом Forbes сообщили представители компании. Функция работает на базе семейства генеративных моделей «Яндекса» — Alice AI. Пользователи могут написать запрос в свободной форме, например: «Посоветуй книгу про любовь», «Предложи книги про олимпийский богов» ил

11

2 Dec 2025, 09:12 UTC≈1,820 viewsread 7 August 2026

У кого есть доступ, я в этом смысле. А то статья новая, ее еще не слили никуда.

2 Dec 2025, 09:09 UTC≈1,590 viewsread 7 August 2026
Forwarded from @kaganova_deskresearch

Коллеги, а кто-то может скачать мне одну статью из журнала "Вопросы экономики"? 😔

25 Nov 2025, 15:27 UTC≈2,040 views8 reactionsread 7 August 2026
Forwarded from @kaganova_deskresearch

Команда кабинетных исследований Т-Банка расширяется еще больше! Ищу коллегу, чтобы учить, уважать и делать исследования (а еще рубиться в настольный теннис) 🤪 Образование Высшее, по специальностям: маркетинг и маркетинговые исследования, экономика, финансы, социология, информационные технологии, бизнес-анализ. Опыт - Самостоятельное проведение кабинетных исследований (end-to-end) - не менее 2 лет. - Уверенное владе

🤔43👍1

20 Oct 2025, 15:20 UTC≈2,020 views20 reactionsread 7 August 2026
Forwarded from @kaganova_deskresearch

✨ Команда кабинетных исследований в Т-Банке растёт, и мы ищем коллегу! Почти год назад я присоединилась к этой команде — и с тех пор ни разу не пожалела. Если тебе близко кабинетное мышление — любишь копаться в данных и приложениях конкурентов, выстраивать аргументы, системно мыслить и находить закономерности, — у нас как раз открыта вакансия исследователя. 🤝

10🤬43😭2👍1

6 Sept 2025, 18:15 UTC≈2,280 views55 reactionsread 7 August 2026
Forwarded from @gottagetmesomePhoto

Photo, posted without a caption

😭4510

26 Aug 2025, 05:11 UTC≈2,460 views26 reactionsread 7 August 2026
Forwarded from @tech_priestess

Итак, небольшой ликбез по "научным закрытиям" - то есть, опровержениям и "отмене" научных исследований, которые на поверку оказались ошибочными или содержали подтасовки, а также список ресурсов, из которых можно об этих "закрытиях" узнавать. — В идеале заведомо ошибочные или недобросовестные научные статьи должны отсекаться ещё на этапе рецензирования, но из-за несовершенства системы это удаётся сделать далеко не в

21👍4🦄1

11 Aug 2025, 07:29 UTC≈2,030 views28 reactionsread 7 August 2026

Ищем любые файлы за секунды — сервис FilePursuit прошерстит весь интернет и найдет то, что вам нужно. • Работает по всему инету, а не только по верхушкам поисковиков. • Ищет буквально ВСЕ: документы, книги, ZIP-архивы, APK-файлы, картинки, видео и PDF. • Главное — БЕСПЛАТНО. Попробовать можно — тут #полезно

25👍3

18 Jul 2025, 19:28 UTC≈2,350 views16 reactionsread 7 August 2026
Forwarded from @alliance4humanities

#исследования : неполевая беседа с Еленой Каганой. Елена ведёт канал «какая-то библиотека» и менеджером по исследованиям в Т-банке. — Как понять, что мне (например, студентке или работнице библиотеки) нужно провести именно кабинетное исследование? На какие вопросы оно может ответить? — Если коротко: Хочешь понять рынок → кабинетное. Хочешь понять людей → полевое. Кабинетные исследования — это про структуру, контекст

96👍1

3 Jul 2025, 06:31 UTC≈2,210 views15 reactionsread 7 August 2026
Forwarded from @begtinPhoto

Для тех кто интересуется моя презентация Особенности открытого доступа и открытых данных в гуманитарных науках [1] в открытом доступе, с обзором открытого доступа и открытых научных данных Ссылки: [1] https://www.beautiful.ai/player/-OTvQBg2a4JCj0PfyeTk #opendata #openaccess

14👍1

2 Jul 2025, 06:15 UTC≈2,050 views63 reactionsread 7 August 2026
Forwarded from @radionesterPhoto

Всем цифровое ожирение, пацаны! Термин стали применять для определения мозговой лени, когда под рукой есть генеративный ИИ. По этому поводу как раз вышло исследование учёных из авторитетного MIT, мимо которого нельзя пройти, и которое вовсю цитируют. Учёные попросили три группы студентов написать эссе: одни пользовались только головой, другие - поисковиком, третьи - ChatGPT. Мозг «ручных» авторов работал активнее вс

40👍20👾3

26 Jun 2025, 08:45 UTC≈2,080 views57 reactionsread 7 August 2026
Forwarded from @techno_yandex

📖 Anthropic уничтожил миллионы книг ради обучения Claude На днях суд в США постановил, что Anthropic имел право обучать Claude на легально купленных книгах без отдельного разрешения их авторов. Но в рамках судебного процесса выяснились подробности, как именно проходил этот процесс. Для сбора данных Anthropic нанял Тома Тёрви — бывшего руководителя Google Books. Его задача была амбициозной: получить «все книги в мир

😭34🤬20👾3

Showing the 12 most recent of 20 posts we hold for @selfmadeLibrary. 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.

4 Apr 2025, 06:18 UTCAnonymous Poll224 voters

Я планирую сделать небольшой платный курс по использованию ИИ для кабинетных исследований. Как вам идея?

  1. Запишусь на онлайны17%
  2. Мне бы в записи...44%
  3. Не интересно16%
  4. Зависит от стоимости курса52%

The shares total 129%, 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 20 most recent posts we hold, published 4 April 2025 to 19 December 2025. 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.

Citation-graph rank

Citation-graph rank — 692,158 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 1 registered channel — 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.

Named by

Channels on the register whose posts name this channel's handle.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“какая-то библиотека” (@selfmadeLibrary), 2,851 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/selfmadeLibrary.

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.