Telegram RegisterThe public register of Telegram

Channel

Positive Labs

@positivelabs

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

1,579subscribers

-4 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-1002099760128
TypeChannel
Username@positivelabs
Created8 April 2024measured — dated from the channel’s first post
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held3
Confirmed unchanged2 times, most recently 12 August 2026
On Telegramt.me/positivelabs

Growth

1,5791,5831,5816 August 2026 — 1,583 subscribers6 August 2026 — 1,583 subscribers9 August 2026 — 1,579 subscribers6 August 20269 August 2026
3 measurements spanning 3 days, net -4. 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 1,578–1,584 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 17:521,579-4
6 Aug 2026, 09:401,583no change
6 Aug 2026, 08:331,583first reading

Engagement

17 posts held, back to 8 April 2024the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
25.1%
avg views ÷ 1,579 subscribers
Avg views / post
396
1 post measured
Reaction rate
5.81%
reactions ÷ views · ER floor
Posts in window
1
of 17 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 7 August 2026
Posts held17 (8 April 20247 August 2026)
Views total396
Reactions total23
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:59 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

Video runtime
4m 09s
Average length
1m 23s

Measured directly from 3 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

549 reactions across 15 posts, in 18 distinct kinds. The most used accounts for 51.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥28151.2%
👍9417.1%
7814.2%
😎254.55%
🐳122.19%
👀122.19%
👾112.00%
custom 537546538702448112271.28%
71.28%
🍓61.09%
🤯40.729%
❤‍🔥30.546%
🆒30.546%
🗿20.364%
🤔10.182%
🤣10.182%
🤩10.182%
🥰10.182%

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 isTelegram’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 15 of the 17 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 549reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 8 April 2024 to 7 August 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
5
across the posts below
Posts paid on
2
of 15 we hold a reading for · 13%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @positivelabs. 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 17 most recent posts we hold for this entry, published 8 April 2024 to 7 August 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.

Recent posts

7 Aug 2026, 08:52 UTC396 views23 reactionsread 7 August 2026
Photo

😎 В новой статье на Хабре рассказываем, как создавали полнофункциональный эмулятор eMMC на FPGA. 🖥 Полноценных эмуляторов eMMC практически нет: программные решения не справляются с требуемыми скоростями, а существующие обходные методы не позволяют воспроизводить всё многообразие поведения накопителя. Мы решили исправить эту ситуацию и создать собственный эмулятор для исследований безопасности и воспроизведения неста

🔥145👍4

12 Jun 2026, 10:04 UTC≈1,060 views23 reactionsread 7 August 2026
Photo

🪲 Доверенная загрузка без доверия: уязвимость в SoC Ky X1 🔖 В свежей статье на Хабре разбираем как устроена доверенная загрузка в новой Orange Pi RV2. По шагам проходим путь от безуспешного поиска открытой документации до реверса прошивки и ROM, восстановления логики Secure Boot и обнаружения ошибки. 🔗 Показываем, откуда в бутроме появляются уязвимости, и почему даже простая ошибка делает доверенную загрузку условн

🔥13👍6👀4

5 Jun 2026, 15:04 UTC≈1,210 views58 reactionsread 7 August 2026
Forwarded from @Positive_TechnologiesVideo

⚡ Мы создали первый в России лазерный комплекс для тестирования безопасности чипов До 2022 года российские компании могли закупать такое оборудование только у французской ALPhANOV и нидерландской Riscure. Собственных решений этого класса в стране не было. 😎 Наша команда R&D-центра Positive Labs решила это исправить и создала LFI-26 (LFI — Laser Fault Injection). Это первое универсальное российское решение для анал

🔥3011👍115🐳1

7 May 2026, 08:56 UTC≈1,750 views26 reactions2 Starsread 7 August 2026
Photo

🔡 В новой статье на Хабре делимся историей, которая началась с исследования специальных картриджей для Nintendo Switch, а закончилась обходом механизмов защиты новейшего микроконтроллера ESP32-C5. 🖥 Кроме истории делимся техническими подробностями работы систем защиты ESP32 и как нам удалось их обойти с помощью SCA-атак.

🔥155👍5👾1

27 Feb 2026, 10:08 UTC≈2,570 views54 reactionsread 7 August 2026
Video

🖥 КАК ПОЛУЧИТЬ ДОСТУП КО ВСЕМУ 🎬 Вчера состоялась премьера научпоп-фильма "Как получить доступ ко всему: реверс-инжиниринг", в производстве и съемках которого мы принимали активное участие. 🖥 Фильм простым языком рассказывает о том, что такое реверс-инжиниринг, насколько давно он помогает человеку, кто такие реверсеры и как это связано с кибербезопасностью. 🎦 Впереди выходные, а значит, самое время посмотреть филь

🔥2515👀6👍31❤‍🔥1🤔1🤣1

28 Oct 2025, 10:51 UTC≈2,950 views22 reactionsread 7 August 2026
Photo

microSD < SD < MegaSD 🖥 Представляем MegaSD — новый адаптер для атак DaMAgeCard, который также позволяет подключать NVME SSD вместо microSD/SD Express. 🔡 В свежей статье на хабре мы рассказываем: ➡️зачем нам понадобился новый адаптер; ➡️почему аппаратная реализация лучше программной эмуляции SD Express; ➡️какие возможности это открывает на практике и какие несет ограничения. 👾 Кроме того, gerber-файлы и схемотехн

🔥9custom 537546538702448112275👍1

21 Oct 2025, 11:40 UTC≈2,850 views37 reactionsread 7 August 2026
Photo

🚩 Нашли уязвимости в сетевых адаптерах Broadcom 🪲 Эксперт Positive Labs выявил две уязвимости в прошивке сетевых адаптеров Broadcom, применяющихся в серверах и дата-центрах по всему миру. Ошибки содержались в версии 231.1.162.1 прошивки адаптеров семейства NetXtreme-E. 💀 Найденные уязвимости были зарегистрированы как: 🪲PT-2025-17 (CVE-2025-56548 / BDU:2025-01796) — 4.6 по CVSS 4.0 🪲PT-2025-19 (CVE-2025-56547 / BDU

🔥23👍8🤯42

15 Aug 2025, 13:14 UTC≈2,900 views25 reactionsread 7 August 2026
Photo

😎 Врываемся на OFFZONE 2025! 🎤 В этом году мы подготовили сразу три крутых доклада, с которыми выступим 22 августа на главной сцене OFFZONE 2025: 1️⃣1️⃣:0️⃣0️⃣ Как выпасть из окна, или Всё, что вы хотели знать про IOMMU в Windows Александр Занегин и Юрий Мищенко расскажут про DMA-атаки на современные системы: как новые стандарты в индустрии возрождают старые методы, и как простая проверка на «а вдруг заработает»

🔥109❤‍🔥2👍2🐳1🤩1

30 Apr 2025, 14:05 UTC≈16,200 views52 reactionsread 7 August 2026
Video

😃😀😁😅😆 2️⃣0️⃣2️⃣5️⃣ 🚀 Представляем PHDays Badge 2025 ☑️ Новые функции и дизайн ☑️ Дополнительные возможности кастомизации ☑️ Улучшенные характеристики и эргономика 📹 Все подробности — уже в новом видео. Нажимайте и смотрите прямо сейчас!

🔥33👍7😎3🆒3👾2🗿21🍓1

18 Apr 2025, 13:54 UTC≈3,600 views44 reactionsread 7 August 2026
Photo

Chip'olino libero: La cipolla open-source ☑️ Мы давно хотели и, наконец, делаем. Выкладываем в open-source Chip’olino — платформу для исследования и проведения Fault Injection атак. 🌳 В репозитории на GitHub уже доступна часть инструмента с поддержкой микроконтроллеров, атаки на которые были опубликованы ранее. Для каждого из них выложены подробные разборы атак по питанию со всеми необходимыми для повторения данным

🔥23🐳10👍83

13 Mar 2025, 09:03 UTC≈3,330 views39 reactions3 Starsread 7 August 2026
Photo

🔣 BADGE FROM SCRATCH 🔡 🔖 У нас вышла новая статья на Хабре! На этот раз в ней не будет сложных технических подробностей наших исследований, зато будет увлекательный рассказ об истории создания интерактивного бейджа PHDays Badge. Из статьи вы узнаете: ➡️ как родилась идея создания бейджа; ➡️ как выглядели первые концепт-арты; ➡️ как нам удалось сделать экран бейджа таким пиксельным; ➡️ почему динамик есть, а звук

🔥1813👍8

Showing the 12 most recent of 17 posts we hold for @positivelabs. 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.

Citation-graph rank

Citation-graph rank — 278,288 of 1,169,250entries 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

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 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.

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.

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

“Positive Labs” (@positivelabs), 1,579 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/positivelabs.

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.