Education — 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 14 September 2026 and assigned it the closest of 31 fixed categories, at 61% 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 why it has no browse page of its own yet.
Growth
14 measurements spanning 49 days, net -13. 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 3,636–3,671 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
25 Sept 2026, 01:59
3,654
+6
16 Sept 2026, 18:16
3,648
-2
12 Sept 2026, 20:17
3,650
+1
9 Sept 2026, 05:39
3,649
+9
3 Sept 2026, 18:15
3,640
-2
31 Aug 2026, 01:05
3,642
-3
28 Aug 2026, 04:14
3,645
-3
25 Aug 2026, 02:53
3,648
-5
22 Aug 2026, 03:26
3,653
-3
16 Aug 2026, 02:15
3,656
-5
12 Aug 2026, 23:03
3,661
-4
10 Aug 2026, 09:43
3,665
-2
7 Aug 2026, 12:33
3,667
no change
7 Aug 2026, 12:25
3,667
first reading
Engagement
8 posts held, back to 19 May 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 2 pages of 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 8 posts for this entry, the most recent from 29 July 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
354 reactions across 8 posts, in 6 distinct kinds. The most used accounts for 76.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
271
76.6%
🎉
33
9.32%
🔥
33
9.32%
👍
14
3.95%
💯
2
0.565%
🤔
1
0.282%
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 8 of the 8 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 354 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 19 May 2026 to 29 July 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
1
across the posts below
Posts paid on
1
of 8 we hold a reading for · 13%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @agile_bykovets_smpl. 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 8 most recent posts we hold for this entry, published 19 May 2026 to 29 July 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.
Фреймворк Конкуруючих Цінностей: Хто ти з «Льодовикового періоду»?
Знайома ситуація: «Продакт» хоче щвидше, «Архітектор» - правильно, «Розробники» - не згоріти, а «Сейлзи» вимагають інноваційності, щоб виділятись в ринку? При цьому всі вони праві, але тільки частково.
Коли сервер лежить або виникає дефект, у розробці ми дивимось логи та залежності - робимо Debugging. Проте у спілкуванні з людьми ми часто вішаємо яр…
Сьогодні отримав несподіване сповіщення в LinkedIn, яке змусило на кілька хвилин відкласти всі справи. 🙂
Мене включили до Top 200 LinkedIn Voices in Agile Coaching & Transformation! №1 в рейтингу серед експертів з України, а в Глобальному рейтингу я посів 19 місце.
І хоч це не 30 under 30 (який мені вже точно не світить🤪), а рейтинг на основі алгоритмів та реакцій спільноти - чесно кажучи, це було приємною несподів…
Підсумки нашого з @nastenna4ka першого дня на @atlasweekend
1. Задонатили на захист Нашого Неба. Отримали в подяку картину з шевронами з рук Захисника України та селфі з Main Stage сцени з @kurgan_ram та @amil_kurganagregat 🔥
2. Послухали неймовірну @qarpa та Фактично Самі. Аж олдскули пару раз зводило.
3. Погуляли вагоном потягу від @ukrainianrailways та @robotaua_official . Зустріли там знайомих🤝
4. Зустріли @push…
🔥 QA в Agile Командах у 2026: вас замінить AI чи ви навчитеся ним керувати?
Минулого тижня ми з Alexandra Kovalova провели вебінар «Agile навички тестувальника: сертифікація 2026 vs наболіла реальність».
Якщо дуже коротко: QA вже не зможе ховатися за фразою “я просто тестую таски”. Бо задачі тепер можуть писати AI-агенти. Базові автотести - теж. Чеклісти, тест-кейси, аналіз вимог - все це вже частково автоматизуєть…
Головна навичка для Бізнесу сьогодні — це вже не “планувати краще”, а вміти мислити, приймати рішення й рухатись тоді, коли стабільності як опори просто немає.
12 червня 2026 (ця пʼятниця) у Києві буде BUSINESS THINKERS FORUM’2026 — і я планую бути там, щоб послухати дуже сильних спікерів і спікерок.
Формат: offline + online, очікують 300+ учасників.
Тема форуму — “Гра на випередження”: як створювати довгострокову…
Transparency - is the only safe way to stakeholder management and building relationship
p.p.s.: вгадайте в коментарях автора цитати 🤪
(p.p.s.: сорі за інгліш, але імхо при перекладі від «Transparency» до «Прозорість» - втрачається велика частина сенсу цієї фрази)
Ми там щось цікаве (чи не дуже 🤪🤔) назнімали разом з Лєрою Лістратовою для її рубрики «Очна ставка» у ютубчику.
Дивитись ось тут 🙂
p.s.: коментарі й фідбек - можна як під відео так і сюди 🤪
Повернувся з DOU Day 2026 — і поки емоції ще не вляглись, хочу поділитись враженнями.
1. Перш за все — величезна подяка організаторам. Dou Day схоже стає наймасштабнішою й топовою Tech-подією не тільки України, а й всього регіону.
Топові спікери, сильні дискусії, купа випадкових і невипадкових зустрічей, нові знайомства, обмін ідеями, думками, контактами — і той самий вайб, після якого хочеться робити більше й краще…
❤53🔥13👍5💯1
Showing the 8 most recent of 8 posts we hold for @agile_bykovets_smpl. 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.
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.
Handles this channel named that no longer answer
Dead references
3
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
3
vacant every time we have ever looked
@agile_bykovets_smpl named 3 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@amil_kurganagregat named in 1 post, 8 August 2026 – 8 August 2026
@kurgan_ram named in 1 post, 8 August 2026 – 8 August 2026
@nastenna4ka named in 1 post, 8 August 2026 – 8 August 2026
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 25 September 2026 — this
entry's latest reading, not the date you are reading this.
“Bykovets Agile (Simplesense.)” (@agile_bykovets_smpl), 3,654 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/agile_bykovets_smpl.
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.