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Channel

Освіта для кар'єри ️🔸 Тренінги, вебінари, курси, стажування

@exponenta_events

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

7,770subscribers

+18 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001468754395
TypeChannel
Username@exponenta_events
DescriptionВебінари, майстер-класи, курси, стажування з працевлаштуванням. IT, діджитал, англійська, маркетинг, управління проектами, рекрутинг та багато іншого. Співпраця тільки через @DvizhPromoBot та @dvizh_promo_bot (переходіть лише через клік)
CreatedBetween 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live9 November 2026
Measurements held26
Confirmed unchanged1 time, most recently 9 November 2026
On Telegramt.me/exponenta_events

Topic

Education — 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 11 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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 8 other registered channels. This entry also sits inside a group of 8 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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
@exponenta_events/1555 · this entry25 Jun 2026, 15:15 UTC@events_ua/266826 Jun 2026, 15:15 UTC1.0024 hours
@exponenta_events/1556 · this entry30 Jun 2026, 15:15 UTC@events_ua/26738 Jul 2026, 15:16 UTC1.008 days
@exponenta_events/1560 · this entry14 Jul 2026, 09:15 UTC@events_ua/26855 Aug 2026, 12:15 UTC1.0022 days
@exponenta_events/1570 · this entry11 Aug 2026, 12:15 UTC@events_ua/269424 Aug 2026, 06:15 UTC1.0013 days
@events_ua/268915 Aug 2026, 09:15 UTC@exponenta_events/1575 · this entry15 Aug 2026, 12:16 UTC1.003.0 hours
@exponenta_events/1588 · this entry17 Sept 2026, 06:15 UTC@events_ua/270117 Sept 2026, 15:15 UTC1.009.0 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
@events_ua22 (8/8 hand-verifiable sample passed)1.006.0 hoursthis entry (16–6)
@bedeveloped21 (8/8 hand-verifiable sample passed)1.002 minutes@bedeveloped (13–8)
@IT_v_UA15 (8/8 hand-verifiable sample passed)1.004.5 hours@IT_v_UA (9–6)
@osvita_tut11 (8/8 hand-verifiable sample passed)1.0014 hoursthis entry (7–4)
@start_v_IT12 (8/8 hand-verifiable sample passed)1.003.0 hours@start_v_IT (9–3)
@IT_Digital_events7 (7/7 hand-verifiable sample passed)1.0018 hoursthis entry (5–2)
@BizEventsUa6 (6/6 hand-verifiable sample passed)1.0024 hoursthis entry (5–1)
@samorozvytok_tut7 (7/7 hand-verifiable sample passed)1.003.0 hoursthis entry (4–3)

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. 24 of the 45 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 54 comparable posts for this entry, running 12 June 2026 to 10 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).

Of the group of 8 channels, the one whose matching posts we hold earliest is @start_v_IT. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 11 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.

Channels linked by matching posts

This channel is in a group of 8 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

7,7117,7887,749.56 August 2026 — 7,752 subscribers6 August 2026 — 7,752 subscribers10 August 2026 — 7,751 subscribers13 August 2026 — 7,746 subscribers17 August 2026 — 7,734 subscribers20 August 2026 — 7,731 subscribers23 August 2026 — 7,761 subscribers27 August 2026 — 7,763 subscribers29 August 2026 — 7,756 subscribers1 September 2026 — 7,757 subscribers5 September 2026 — 7,755 subscribers10 September 2026 — 7,752 subscribers14 September 2026 — 7,750 subscribers18 September 2026 — 7,744 subscribers26 September 2026 — 7,730 subscribers5 October 2026 — 7,718 subscribers12 October 2026 — 7,716 subscribers15 October 2026 — 7,711 subscribers18 October 2026 — 7,776 subscribers21 October 2026 — 7,788 subscribers24 October 2026 — 7,780 subscribers27 October 2026 — 7,779 subscribers30 October 2026 — 7,778 subscribers2 November 2026 — 7,771 subscribers5 November 2026 — 7,773 subscribers9 November 2026 — 7,770 subscribers7,7706 August 20269 November 2026
26 measurements spanning 94 days, net +18. 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 7,699–7,800 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
9 Nov 2026, 02:097,770-3
5 Nov 2026, 18:207,773+2
2 Nov 2026, 14:197,771-7
30 Oct 2026, 11:417,778-1
27 Oct 2026, 01:417,779-1
24 Oct 2026, 01:387,780-8
21 Oct 2026, 11:397,788+12
18 Oct 2026, 11:507,776+65
15 Oct 2026, 09:457,711-5
12 Oct 2026, 00:567,716-2
5 Oct 2026, 03:587,718-12
26 Sept 2026, 20:557,730-14
18 Sept 2026, 02:377,744-6
14 Sept 2026, 04:577,750-2
10 Sept 2026, 13:187,752-3
5 Sept 2026, 10:007,755-2
1 Sept 2026, 14:067,757+1
29 Aug 2026, 14:167,756-7
27 Aug 2026, 00:427,763+2
23 Aug 2026, 17:477,761first reading

Engagement

54 posts held, back to 12 June 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 36 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.55%
avg views ÷ 7,770 subscribers
Avg views / post
664
10 posts measured
Reaction rate
0.331%
reactions ÷ views · ER floor
Posts in window
10
of 54 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 10 November 2026
Posts held54 (12 June 2026 – 10 November 2026)
Views total6,642
Reactions total22
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 02:28 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
≈783
Videos
≈42
Links
≈1,420

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.

Reaction mix

101 reactions across 52 posts, in 12 distinct kinds. The most used accounts for 31.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3231.7%
👍2322.8%
👏1211.9%
👀109.90%
🔥76.93%
👌65.94%
✍54.95%
🐳21.98%
⚡10.99%
🆒10.99%
👨‍💻10.99%
😍10.99%

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 52 of the 54 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 101 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 54 most recent posts we hold, published 12 June 2026 to 10 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.

Recent posts

Telegram’s own ‘edited’ marker: 1 of 10 posts held from the last 30 days (10.0%) 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).

10 Nov 2026, 16:15 UTC309 views1 reactionsread 12 November 2026
Photo

💜 NEW BRAIN — 13 років стабільності та розвитку! Мовна школа NEW BRAIN запрошує до своєї команди викладачів іноземних мов — як досвідчених фахівців, так і студентів та випускників, які прагнуть розвиватися у викладанні. Що пропонує школа? ▫️ Оплату від 16 000 до 32 000 грн залежно від навантаження ▫️ Повну або неповну зайнятість ▫️ Готових учнів та навчальні матеріали ▫️ Навчання, менторство та підтримку на старті …

✍1

10 Nov 2026, 10:16 UTC368 views5 reactionsread 12 November 2026
Photo

Освітній серіал "SEO-спеціаліст" на Дія.Освіта Google аналізує нашу поведінку — для цього він постійно обробляє 2 мільярди рядків, що весь час змінюються. Як осідлати цей потік інформації, збільшити трафік сайту та конвертувати його у прибуток? В освітньому серіалі ви зрозумієте принципи роботи SEO, освоїте контентну оптимізацію сайтів, аналіз конкурентів та стратегію розвитку. І нічого не завадить вам стати справж…

👀3❤2

3 Nov 2026, 10:16 UTC664 views5 reactionsread 12 November 2026
Photo

Освітній серіал "SMM-спеціаліст" від Дія.Освіта Постійний аналіз контенту, аудит конкурентів, розробка стратегій просування — вітаємо у світі SMM-менеджера. Навчіться працювати зі сторінками бізнесу в соцмережах, аналізувати результати реклами та говорити з вашою цільовою аудиторією однією мовою. Хочете бути частиною великих проєктів та масштабних рекламних кампаній? Йдіть до цього маленькими кроками! І перший з н…

❤3👏2

29 Oct 2026, 16:15 UTC770 views2 reactionsread 12 November 2026
Photo

Найбільший у світі космічний хакатон знову в Україні! ГО «Асоціація Ноосфера» вдесяте проводить NASA Space Apps Challenge й знову запрошує до участі всіх любителів космосу й технологій 🚀🪐 NASA Space Apps Challenge – це найбільший міжнародний космічний хакатон, який щороку проходить під егідою NASA у різних країнах. Десятки тисяч ентузіастів зі всього світу об'єднуються в команди і протягом 48 годин вирішують одне з…

❤1👏1

23 Oct 2026, 12:15 UTC768 views1 reactionsread 12 November 2026
Photo

🚀 Поки в класичному IT конкуренція зростає, український MilTech активно шукає нових фахівців. За даними DOU, лише за перше півріччя 2026 року оборонні компанії опублікували 6523 вакансії — більше, ніж за весь 2025 рік. І це не лише робота для військових чи інженерів. Сучасний MilTech — це безпілотні системи, аналітика даних, розробка продуктів, тестування та технології, які безпосередньо впливають на обороноздатніс…

👍1

22 Oct 2026, 09:15 UTC631 views2 reactionsread 12 November 2026
Photo

X SEO-конференція Collaborator уже 30 жовтня 🐯 Не прогавте масштабний галузевий івент про ефективне просування в пошукових системах та LLM Реєстрація: https://conference.collaborator.pro У програмі — найактуальніші теми SEO в епоху AI: ▪️ контент і лінкбілдинг для SEO та GEO: що працює в Google та LLM одночасно ▪️ автоматизація: AI-агенти та MCP в роботі SEO-команди ▪️ технічна сторона: що AI-боти бачать на сайті …

👏2

21 Oct 2026, 12:16 UTC626 views2 reactionsread 12 November 2026
Photo

🟡 ЗНАЙДИ СВОЇХ: Кіновечір «Далласький клуб покупців» Дивитимуться «Далласький клуб покупців» і говоритимуть про те, де закінчується турбота держави і починається твоє право вирішувати за себе. А ще про упередження, які ламаються, коли опиняєшся по один бік з тими, кого вчора зневажав. 👇Що буде: 🤝 нетворкінг-гра «Три кола»: знайомитесь швидко і без незручних пауз 🎬 перегляд фільму «Далласький клуб покупців» 💬 об…

❤1👍1

19 Oct 2026, 06:15 UTC764 views2 reactionsread 12 November 2026
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Три AI-системи — Claude, ChatGPT і Gemini — отримали один промпт розбору резюме під вакансію. У резюме була фраза «оптимізував продуктивність у 10 разів», без жодних цифр «до» і «після». Усі три зарахували її як доказ досвіду. Лікується одним рядком у промпті. Який саме — у відкритому уроці курсу «ШІ для рекрутера»: промпт, п'ять тренувальних резюме, без реєстрації. Сам курс — для рекрутерів і HR: короткі текстові …

⚡1❤1

16 Oct 2026, 09:15 UTC852 views1 reactionsread 12 November 2026
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🟡 ЗНАЙДИ СВОЇХ: «Бідний Ван Гог, багатий Ван Гог» За життя Ван Гог майже нічого не продав. Сьогодні його картини коштують мільйони. Що змінилося, якщо полотно лишилося тим самим? Розбираємось, хто насправді визначає цінність мистецтва. Що буде: 🤝 Нетворкінг-гра «Три кола»: знайомство з новими людьми через питання, які справді хочеться обговорити 🎨 Лекція: історія Ван Гога як історія того, як народжується цінність…

👏1

15 Oct 2026, 17:15 UTC890 views1 reactionsread 12 November 2026

Для активних людей, які прагнуть бути в курсі всього важливого, представляємо добірку корисних каналів, поділену на розділи за тематиками. Розвивайтеся, вивчайте мови, знаходьте нову роботу та знайте все про бізнес і технології! КАР'ЄРА ТА ВАКАНСІЇ 🥑 Workado — найбільший канал: пошук роботи та можливостей 🦖 Jobzilla UA — перевірені вакансії в ТОП компаніях ⚙️ Джун в IT — вакансії для розробників, QA, DevOps та інші…

❤1

12 Oct 2026, 09:15 UTC949 views3 reactionsread 12 November 2026
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Освітній серіал "Стартуй стартап" на Дія.Освіта Отже, ви вирішили створити стартап — що далі? Освітній серіал стане вашим гідом по основних етапах створення та пітчу стартапу. Перевірте, чи готова ваша ідея, і чи ви можете називатися стартапом — канвас, портрет аудиторії, кастдев та валідація ваших гіпотез. Цьому можна навчитися у серіалі — він ще на крок наблизить вас до втілення інновацій. Переглянути серіал мож…

👍3

5 Oct 2026, 09:15 UTC≈1,210 views4 reactionsread 12 November 2026
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💸 Безкоштовний курс фінансових навичок "Розраховую на себе" для жінок Хочеш навчитися планувати бюджет, створювати фінансову подушку та ставити реальні фінансові цілі — а заодно розібратися з боргами, кредитами й першими кроками в інвестуванні? Долучайся до безкоштовного курсу «Розраховую на себе» від Projector Foundation та Фундації Кредобанку. Вже понад 20 000 учасниць розібралися зі своїми грошима на попередніх …

❤4

Showing the 12 most recent of 54 posts we hold for @exponenta_events. 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.

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

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.

UNI WORK
@univwork · 19,755
Telegram ranks this channel #46 of 86 here — alongside 85 others — read 2 October 2026
Business Week | Бізнес | Фінанси | Інвестиції
@businessweekua · 25,396
Telegram ranks this channel #50 of 77 here — alongside 76 others — read 14 September 2026

This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. 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.

“Освіта для кар'єри ️🔸 Тренінги, вебінари, курси, стажування” (@exponenta_events), 7,770 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/exponenta_events.

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.