Job listings — 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 22 September 2026 and assigned it the closest of 31 fixed categories, at 87% 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
7 measurements spanning 63 days, net -6. 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 359–367 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
9 Oct 2026, 08:22
360
-1
28 Sept 2026, 20:01
361
-4
15 Sept 2026, 12:55
365
+1
7 Sept 2026, 17:56
364
-1
30 Aug 2026, 15:47
365
-1
7 Aug 2026, 01:47
366
no change
7 Aug 2026, 01:35
366
first reading
Engagement
20 posts held, back to 8 August 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page 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 20 posts for this entry, the most recent from 25 November 2025. An engagement rate over an empty window would be a number about nothing.
Reaction mix
64 reactions across 18 posts, in 5 distinct kinds. The most used accounts for 40.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
26
40.6%
❤
20
31.3%
👍
13
20.3%
🥰
3
4.69%
custom 5386510539671230662
2
3.13%
Custom emoji. One row above is a 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 count beside it is 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 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 64 reactions 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 8 August 2025 to 25 November 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 @bullet_it. 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 8 August 2025 to 25 November 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.
Стоит ли искать работу перед Новым годом?
Если учитывать, что у большинства компаний последние недели декабря заняты подготовкой к НГ, то у кандидатов остается всего 2-3 недели для трудоустройства в этом году.
3 веских причины не откладывать job-оффер до 2026
1. В новогодние праздники сезон отпусков затягивается на 1/1,5 месяца — столько времени придется ждать выхода топов, принимающих решения о найме, поэтому пре…
Друзья, хочу сообщить, есть отличный уютный чатик в телеге на 400+ диджитальщиков, где обсуждаем обустройство быта заграницей, поиск работы на глобал, получение виз и ВНЖ, налоговое резидентство и всякое такое, по делу и без флуда особо. Всё бесплатно, никаких подписок
Присоединяйтесь по ссылке
https://t.me/+nHt9dVd0o344YzFi
Карьерный чат по подписке.
Что внутри:
• технология получения job-оффера
• инсайдерская информация из IT-индустрии
• персональная карьерная поддержка
Получить доступ: @lena_bullet
Еженедельный дайджест: актуальные вакансии на Python и ML в инновационных бизнесах.
Senior Python Engineer + AI/ML – команда работает над AI‑системами для автоматизации задач в здравоохранении. В стеке: Python как основной язык, технологии компьютерного зрения (OpenCV, Tesseract), а также контейнеризация Docker и базы данных Postgres
Senior Backend Engineer – Neru Health – стартап Neru Health строит HIPAA‑совместим…
Интервью с Еленой Львовой: что нам ждать от рынка найма в IT и почему HR больше не активны как раньше?
В этом интервью мы поговорили с международным IT-хантером Еленой Львовой о том, как меняется рынок найма, почему рекрутинговые агентства по всему миру закрываются, действительно ли HR заменяет ИИ, и почему всё больше карьерных агентов начинают брать деньги не только с компаний, но и с кандидатов. Елена объяснила, ч…
Во многих BigTech и стартапах — от e-commerce до b2b — в отделах продаж уже давно внедрены AI-инструменты.
📌 Для тех, кто строит карьеру в IT и хочет быть ближе к бизнес-задачам, и для руководителей, которым важно идти на шаг впереди рынка, я собрала инструменты, которые реально используют отделы продаж в России и мире.
Забери гайд «10 ИИ-инструментов в продажах» — посмотри, что уже работает у коллег и стань на шаг…
Факт: кандидаты всё чаще теряются в потоке однотипных писем.
Чтобы помочь коллегам, я собрала промт для ChatGPT, составленный на основе практики IT-рекрутинга и советов промт-инженеров. Он позволяет быстро генерировать сопроводительные письма в формате живого знакомства: с акцентом на ключевой стек, кейс из опыта и лёгкий call-to-action.
Это сэкономит вам время и поможет пройти первый AI-фильтр.
Забрать промт можн…
«ИИ-фильтры в найме и как их пройти»
Ты сильный IT-специалист, но ищешь работу уже несколько месяцев?
Новая реальность: резюме даже самых востребованных специалистов не проходят ИИ-фильтры и не попадают к HR.
Забирай мой гайд и узнаешь:
🔹как пройти ИИ-фильтры и попасть к живому HR
🔹как подняться в топ поиска у рекрутеров
🔹как сократить поиск работы с месяцев до пары недель
Забрать гайд🩵
🌟 Вчера мы познакомились с первой пятёркой стартапов с русскими фаундерами и командами. Делюсь их актуальными техническими вакансиями на удалёнке:
1. AMMA Family
🔹QA Engineer - Откликнуться!
2. Tabby
🔹Tech Lead (SDET) - Откликнуться!
🔹Senior Backend Engineer - Откликнуться!
🔹Senior Fullstack Engineer - Откликнуться!
🔹Senior QA Automation Engineer - Откликнуться!
🔹Integrations Engineer - Откликнуться!
🔹Senior Data E…
❤2👍1🔥1
Signed lvova_mini
Showing the 12 most recent of 20 posts we hold for @bullet_it. 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.
Handles this channel named that no longer answer
Dead references
1
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
1
vacant every time we have ever looked
@bullet_it named 1 handle 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.
@otzov_bullet 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 9 October 2026 — this
entry's latest reading, not the date you are reading this.
“Елена Львова | IT-Карьера и Инновации” (@bullet_it), 360 subscribers as measured 9 October 2026. Telegram Register, tgregister.com/channel/bullet_it.
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.