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LX notes // Образование как продукт

@lxnotes

On this record: Growth · Engagement · Reactions · Advertising · Posts · Citations · Telegram's recommendations · Cite this entry

12,489subscribers

-46 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-1001116543437
TypeChannel
Username@lxnotes
Created5 October 2017measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live5 September 2026
Measurements held27
Confirmed unchanged1 time, most recently 5 September 2026
On Telegramt.me/lxnotes

Growth

12,44412,53812,4916 August 2026 — 12,535 subscribers6 August 2026 — 12,538 subscribers7 August 2026 — 12,535 subscribers8 August 2026 — 12,529 subscribers9 August 2026 — 12,525 subscribers10 August 2026 — 12,517 subscribers11 August 2026 — 12,514 subscribers12 August 2026 — 12,511 subscribers13 August 2026 — 12,514 subscribers14 August 2026 — 12,511 subscribers16 August 2026 — 12,509 subscribers17 August 2026 — 12,507 subscribers18 August 2026 — 12,506 subscribers19 August 2026 — 12,497 subscribers22 August 2026 — 12,492 subscribers23 August 2026 — 12,484 subscribers25 August 2026 — 12,483 subscribers26 August 2026 — 12,475 subscribers27 August 2026 — 12,472 subscribers28 August 2026 — 12,471 subscribers29 August 2026 — 12,466 subscribers30 August 2026 — 12,463 subscribers31 August 2026 — 12,458 subscribers1 September 2026 — 12,455 subscribers2 September 2026 — 12,454 subscribers3 September 2026 — 12,444 subscribers5 September 2026 — 12,489 subscribers12,4896 August 20265 September 2026
27 measurements spanning 30 days, net -46. 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 12,430–12,552 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
5 Sept 2026, 02:0112,489+45
3 Sept 2026, 09:2912,444-10
2 Sept 2026, 05:5512,454-1
1 Sept 2026, 07:1712,455-3
31 Aug 2026, 03:4712,458-5
30 Aug 2026, 04:3712,463-3
29 Aug 2026, 04:3312,466-5
28 Aug 2026, 02:2412,471-1
27 Aug 2026, 01:0912,472-3
26 Aug 2026, 03:5712,475-8
25 Aug 2026, 01:0312,483-1
23 Aug 2026, 13:1912,484-8
22 Aug 2026, 00:4512,492-5
19 Aug 2026, 16:5212,497-9
18 Aug 2026, 14:4712,506-1
17 Aug 2026, 13:3412,507-2
16 Aug 2026, 04:1512,509-2
14 Aug 2026, 17:5612,511-3
13 Aug 2026, 08:1412,514+3
12 Aug 2026, 08:4212,511first reading

Engagement

37 posts held, back to 6 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 49 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.43%
avg views ÷ 12,489 subscribers
Avg views / post
428
21 posts measured
Reaction rate
1.19%
reactions ÷ views · ER floor
Posts in window
21
of 37 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. It is computed over the 16 of 21 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 2 September 2026
Posts held37 (6 July 20262 September 2026)
Views total8,987
Reactions total81
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 21:42 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.

Reaction mix

197 reactions across 31 posts, in 9 distinct kinds. The most used accounts for 43.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥8643.7%
6734.0%
👍189.14%
😁178.63%
🤪31.52%
🎉21.02%
🤩21.02%
10.508%
👏10.508%

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 32 of the 37 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 207 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 37 most recent posts we hold, published 6 July 2026 to 2 September 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
8.11%
3 of 37 posts carry an ad marker
Regulatory tokens
3
posts carrying an erid · 3 distinct tokens
Median views · ads
460
over 3 measured posts
Median views · rest
544
over 34 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. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2SDnjcoJ6JP121 August 202621 August 2026
2VSb5yPF8VY124 August 202624 August 2026
2VtzqvkEs5V113 August 202613 August 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 37 most recent posts we hold, published 6 July 2026 to 2 September 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

2 Sept 2026, 09:51 UTC155 viewsread 2 September 2026

AI Arcade: пространство для экспериментов с ИИ в Penn State Penn State создал физическое пространство AI Arcade, где студенты, преподаватели и сотрудники могут знакомиться с платными AI-инструментами через простые задания и свободные эксперименты. От участников не ждут, что они сразу станут экспертами или начнут использовать инструмент в учебном проекте. Модель объединяет: • безопасные эксперименты без оценки; • до

1 Sept 2026, 13:57 UTC248 views3 reactionsread 2 September 2026
Photo

Мысли про ИИ-агентов - по итогам конференции ProductCamp В прошлую субботу сходила на ProductCamp Amsterdam — не-конференция, где участники сами предлагают темы, голосуют за то, что хотят обсудить, а потом расходятся по нескольким параллельным сессиям. Забавно, что много лет назад я сама использовала такой формат для стратегических сессий и тренингов, а теперь было очень приятно побыть в роли участника. Оставлю зде

3

1 Sept 2026, 06:08 UTC286 views8 reactionsread 2 September 2026
Photo

Эффект 1 сентября Многолетняя привычка начинать новый учебный год с 1 сентября настолько глубоко встроилась в мою личность, что почему-то очень хочется срочно начинать учиться. Поздравляю всех с Днем Знаний! Пусть у каждого школьника будет классная линейка, у каждого учителя по георгину (или гладиолусу), а у каждого родителя будет чуть больше времени на себя пока ребенок в школе. Пойду подумаю, на какие новые кур

🔥4🤩21🎉1

31 Aug 2026, 13:47 UTC308 views8 reactionsread 2 September 2026
Photo

Глобальное исследование использования ИИ в высшем образовании — 2026 45 398 ответов студентов и преподавателей из 35 стран приняли участие в исследовании Digital Education Council Особенно важны три вывода: 📌 Само использование ИИ еще не означает, что он помогает учиться. Только 5% студентов, столкнувшихся с ИИ в учебных программах, говорят, что он изменил их подход к обучению. Еще 28% отмечают улучшение понимания

5🔥3

31 Aug 2026, 10:00 UTC302 views1 reactionsread 2 September 2026
Photo

ИИ - не про то, чтобы делать за нас. А про то, чтобы делать вместе. Корпоративное обучение не исключение. ✔️ 16-17 сентября пройдёт конференция «ИИ.Elements» - практическое событие о разумном внедрении искусственного интеллекта в корпоративное обучение. Формат онлайн, поэтому присоединиться можно из любой точки. В программе реальные кейсы и инструменты: что уже работает у коллег, что можно забрать в работу завтра.

👍1

31 Aug 2026, 06:04 UTC293 views1 reactionsread 2 September 2026
Photo

📣 Анонс событий для всех, кто создает образование Все события на LXevents.online 💙💚 На этой неделе: 🌟 Развиваем карьеру ▫️Портфолио продакта в образовании: что туда должно входить и почему это важнее диплома ▫️Стоит ли учиться на дизайнера образовательного опыта в 2027 году? ▫️ Методист онлайн-курсов 🌟 Проектируем обучение ▫️Переосмыслить Интеллект: образование в XXI веке и его технологический контекст ▫️Before, D

1

27 Aug 2026, 17:12 UTC489 views2 reactionsread 2 September 2026

Как дела у Мишель. Часть 2 (первая часть тут) Мы уже несколько недель работаем вместе в Мишель в менторинге. Ее цель - переход в EdTech Product Management и поиск следующей роли. За это время успели: — пересобрать позиционирование и CV под продуктовые вакансии; — разобрать, как лучше искать работу и не ограничиваться только откликами; — потренировать ответы на behavioral-вопросы и разобрать реальные вакансии; — про

🔥2

25 Aug 2026, 11:52 UTC516 views1 reactionsread 2 September 2026

Пока я готовлю для вас большой практикум по Service Blueprint для образовательных продуктов, почитайте статью в блоге Teachbase 👆 Там - основы основ 😎

🔥1

25 Aug 2026, 11:50 UTC457 views9 reactionsread 2 September 2026
Forwarded from @teachbasePhoto

✨ Новый материал в рубрике «Опыт экспертов»: подход Service Blueprint За каждым «простым» курсом стоит гора невидимой работы — и именно она делает опыт ученика цельным. Service Blueprint показывает не только путь ученика до старта, во время и после обучения, но и то, что происходит «за сценой». Евгения Ращупкина рассказывает, как увидеть обучение целиком и спроектировать обучение с этим подходом. ➡️ Подробнее по

🔥53👍1

24 Aug 2026, 16:46 UTC460 views4 reactionsread 31 August 2026
Advertisementerid 2VSb5yPF8VYPhoto

Дорогой трафик и длинный цикл сделки заставляют онлайн-школы по-новому подходить к привлечению учеников в 2026 году. 9 сентября eLama проведет бесплатный вебинар «EdTech-маркетинг 2026: как привлекать учащихся и не сливать бюджет». Эксперты из «Фоксфорда», «Синергии» и eLama разберут: — как оценивать каналы через CAC и LTV, а не только через CPL; — почему оптимизация по CPA может ухудшать экономику; — как выбира

👍2🎉1🔥1

24 Aug 2026, 06:00 UTC400 views3 reactionsread 31 August 2026
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📣 Анонс событий для всех, кто создает образование. Все события на LXevents.online 💙💚 На этой неделе: 🌟 Развиваем карьеру ▫️Школа фасилитации онлайн 🌟 Проектируем обучение ▫️[Product Demo] Closing the “Missing Middle” Between Learning and Performance ▫️Сообщества как бизнес: от гипотез до экономики ▫️[Conversation Series] Reimagining the Learner Experience ▫️Онлайн-фасилитация. Практикум ▫️The Learning-Retention Li

1👍1🔥1

22 Aug 2026, 06:19 UTC401 views10 reactionsread 31 August 2026

Структура из неопределенности — мое любимое! На этой неделе я готовила план большой разработки вместе с оценкой времени и денег. Тот случай, когда нужно учесть много факторов и переменных, включая доступность команды и историю взаимодействия с этим клиентом других направлений компании. А еще много может пойти не по плану, естественно — нужно заложить процент на непредвиденные новые задачи. Я бы потратила на это нес

7👍3

Showing the 12 most recent of 37 posts we hold for @lxnotes. 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

Republished by

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

Republishes

Channels on the register whose posts this channel has forwarded.

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 4 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.

Names

Channels on the register whose handles appear in this channel's posts.

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.

Образование, которое мы заслужили
@ru_education · 42,665
Telegram ranks this channel #14 of 98 here — alongside 97 others — read 29 August 2026
Вакансии в образовании
@edujobs · 65,575
Telegram ranks this channel #18 of 99 here — alongside 98 others — read 21 August 2026
Skillbox: образовательная платформа
@skillboxru · 36,880
Telegram ranks this channel #49 of 97 here — alongside 96 others — read 3 September 2026
Вакансии для своих✨
@cozy_hr · 51,831
Telegram ranks this channel #71 of 100 here — alongside 99 others — read 25 August 2026

This channel appears in 4 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 5 September 2026 — this entry's latest reading, not the date you are reading this.

“LX notes // Образование как продукт” (@lxnotes), 12,489 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/lxnotes.

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.