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Channel

TechSparks

@techsparks

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

46,772subscribers

+661 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001009962628
TypeChannel
Username@techsparks
DescriptionАннотированные ссылки на интересные, полезные и удивительные новости хайтека. Кто больше любит слушать длинное чем читать короткое http://sebrant.chat https://knd.gov.ru/license?id=6777b11d506f967728ac580d&registryType=bloggersPermission Автор: @asebrant
Created12 November 2015 — measured — dated from the channel’s first post
First recorded5 August 2026
Last confirmed live24 October 2026
Measurements held48
Confirmed unchanged1 time, most recently 24 October 2026
On Telegramt.me/techsparks

Topic

Technology — 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 19 August 2026 and assigned it the closest of 31 fixed categories, at 53% 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

46,10846,77846,4435 August 2026 — 46,111 subscribers6 August 2026 — 46,112 subscribers7 August 2026 — 46,114 subscribers8 August 2026 — 46,108 subscribers9 August 2026 — 46,112 subscribers10 August 2026 — 46,115 subscribers11 August 2026 — 46,116 subscribers12 August 2026 — 46,127 subscribers13 August 2026 — 46,149 subscribers14 August 2026 — 46,198 subscribers16 August 2026 — 46,249 subscribers17 August 2026 — 46,254 subscribers18 August 2026 — 46,306 subscribers19 August 2026 — 46,339 subscribers20 August 2026 — 46,361 subscribers22 August 2026 — 46,369 subscribers23 August 2026 — 46,383 subscribers25 August 2026 — 46,408 subscribers26 August 2026 — 46,427 subscribers27 August 2026 — 46,442 subscribers29 August 2026 — 46,457 subscribers30 August 2026 — 46,459 subscribers31 August 2026 — 46,454 subscribers1 September 2026 — 46,455 subscribers2 September 2026 — 46,460 subscribers3 September 2026 — 46,463 subscribers6 September 2026 — 46,485 subscribers9 September 2026 — 46,487 subscribers11 September 2026 — 46,503 subscribers13 September 2026 — 46,521 subscribers15 September 2026 — 46,522 subscribers16 September 2026 — 46,533 subscribers19 September 2026 — 46,537 subscribers26 September 2026 — 46,603 subscribers4 October 2026 — 46,661 subscribers9 October 2026 — 46,677 subscribers13 October 2026 — 46,730 subscribers14 October 2026 — 46,761 subscribers15 October 2026 — 46,763 subscribers16 October 2026 — 46,774 subscribers17 October 2026 — 46,777 subscribers18 October 2026 — 46,775 subscribers19 October 2026 — 46,778 subscribers20 October 2026 — 46,774 subscribers21 October 2026 — 46,766 subscribers22 October 2026 — 46,774 subscribers23 October 2026 — 46,773 subscribers24 October 2026 — 46,772 subscribers46,7725 August 202624 October 2026
48 measurements spanning 80 days, net +661. 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 46,008–46,879 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 48
Measured (UTC)SubscribersChange
24 Oct 2026, 18:4746,772-1
23 Oct 2026, 18:3746,773-1
22 Oct 2026, 21:1646,774+8
21 Oct 2026, 14:4646,766-8
20 Oct 2026, 13:4646,774-4
19 Oct 2026, 14:3946,778+3
18 Oct 2026, 17:1146,775-2
17 Oct 2026, 15:4546,777+3
16 Oct 2026, 12:5446,774+11
15 Oct 2026, 11:2846,763+2
14 Oct 2026, 14:1646,761+31
13 Oct 2026, 05:0046,730+53
9 Oct 2026, 01:5646,677+16
4 Oct 2026, 14:2246,661+58
26 Sept 2026, 05:0046,603+66
19 Sept 2026, 06:1946,537+4
16 Sept 2026, 23:4146,533+11
15 Sept 2026, 01:5846,522+1
13 Sept 2026, 14:1846,521+18
11 Sept 2026, 21:2046,503first reading

Engagement

5,529 posts held, back to 12 November 2015 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 515 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
18.7%
avg views ÷ 46,772 subscribers
Avg views / post
8,720
35 posts measured
Reaction rate
1.38%
reactions ÷ views · ER floor
Posts in window
35
of 5,529 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 23 October 2026
Posts held5,529 (12 November 2015 – 23 October 2026)
Views total305,360
Reactions total4,199
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken24 Oct 2026, 22:52 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
≈529
Videos
≈159
Links
≈5,120

Lifetime counters from Telegram’s own channel header, read 24 October 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.

Video runtime
6m 41s
Average length
57s

Measured directly from 7 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

9,033 reactions across 98 posts, in 8 distinct kinds. The most used accounts for 35.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3,15835.0%
👍2,02622.4%
🔥1,52816.9%
😁1,00911.2%
💩8389.28%
👏2672.96%
👎1551.72%
🤬520.576%

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 999 of the 1,000 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 82,598 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 26 September 2024 to 23 October 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
68
across the posts below
Posts paid on
14
of 1,000 we hold a reading for · 1%
Most on one post
34
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @techsparks. 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 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 26 September 2024 to 23 October 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

23 Oct 2026, 16:05 UTC≈3,970 views28 reactionsread 24 October 2026

12 октября на Netflix состоялась премьера их собственной “документалки” “AI Gone Rogue”, но она в действительности оказалась скорее пропагандистским художественным фильмом. Картина посвящена ставшей знаменитой атаке агентов OpenAI на Hugging Face — поэтому показательно, что по поводу фильма говорит как раз сооснователь и CEO Hugging Face Клеман Деланг (переведу цитату, для разнообразия): Очень разочаровывает: они дов…

👍14❤8🔥3👏2😁1

23 Oct 2026, 10:33 UTC≈4,900 views124 reactionsread 24 October 2026

Исследование изменений в найме и характере занятости в Anthropics, которое я тут недавно упоминал, заканчивалось на летних данных текущего года. А сейчас на дворе октябрь подходит к концу — и потому именно в контексте обсуждавшихся в исследовании трендов важна свежая ремарка Кейтлин Лессе, руководительницы platform engineering group в компании. Начальница команды из 200 человек, занятых разработкой критически важного…

💩59👍29😁17❤12🔥7

22 Oct 2026, 17:06 UTC≈5,760 views109 reactionsread 24 October 2026

Я редко вникаю в ежедневно возникающие хайповые тренды вокруг ИИ, но возникшее около недели назад “движение REA” — исключение, за ним следить прикольно, и сама идея мне очень нравится. Суть соответствует названию: REA — Reverse Engineer Anything: «разберись, как это устроено, и переделай под себя». Что важно, не столько сам разберись, сколько заставь агентов разобраться (и по возможности воспроизвести). Есть конкретн…

❤55👍36🔥14😁4

22 Oct 2026, 09:34 UTC≈6,280 views53 reactionsread 24 October 2026

Дженсен Хуанг вчера в Берлине на GTC Berlin 2026 продемонстрировал свеженький лаптоп на RTX Spark и предался личным воспоминаниям: «В 2016 году я доставил один петафлопс и 128 ГБ памяти маленькой компании под названием OpenAI. Здесь — один петафлопс и 128 ГБ. Единственная разница, конечно, в том, что это я могу держать вот так в руке, а для DGX-1 понадобились два человека, чтобы занести его наверх». Тут я вспомнил, к…

❤27👍16🔥10

21 Oct 2026, 16:09 UTC≈6,090 views62 reactionsread 24 October 2026

Вообще в области Physical AI вокруг происходит все больше и больше интересного, и не только в относительно хорошо освещаемой сфере человекообразных роботов. Автономные устройства всех сортов и типов активно выходят из пилотов в реальную практику самых разных бизнесов: логичестических, транспортных, сервисных. Вот только вчера писал тут про беспилотный грузовик, сегодня мне попадается заметка про стартап, который всер…

❤34👍17🔥9👎2

21 Oct 2026, 10:45 UTC≈6,890 views54 reactionsread 24 October 2026

И еще про изменения найма. Гугл весь год экспериментировал с использованием ИИ в ходе интервью кандидатов: и с использованием его соискателями, и с использованием его интервьюерами. Теперь по итогам экспериментов лучшие практика все еще остаются в статусе пилотов, но применяться начинают уже массово. A Google spokesperson said that AI fluency is a requirement for all software engineering jobs, while AI product integr…

👍34💩13❤5🔥2

20 Oct 2026, 14:39 UTC≈7,560 views151 reactionsread 24 October 2026
Photo

На дорогах Швеции и Северной Америки уже можно встретить последнюю модель грузового беспилотника, разработанного шведским стартапом Einride. Махина массой 26 тонн (из них 16 — полезная нагрузка) выглядит не столь дизайнерски красиво как электрические траки Теслы, зато эта электричка опережает грузовые Теслы по автономности (уровень L4); внешность это подчеркивает: ни остекления кабины, ни боковых зеркал — некому ими …

🔥93👍33❤20👎3👏2

19 Oct 2026, 18:35 UTC≈7,150 views60 reactionsread 24 October 2026

Какой-то непривычно душевный рассказ кофаундера о жизни и достижениях его стартапа Agility Robotics. Рассказ о том, как хотел построить робота мечты, красивого и элегантного, а пришлось через несколько итераций создавать не слишком ловкого, не слишком красивого или милого — зато вполне могучего робота для складской работы. Красивые демонстрации в современных интерьерах имеют слабое отношение к реальной логистике, где…

❤33👍18🔥9

18 Oct 2026, 18:16 UTC≈8,280 views69 reactionsread 24 October 2026
Photo

Anthropic в пятницу помимо прекрасного отчета про изменения в найме и работе внутри компании опубликовала и еще одно исследование: «The AI expectations gap». В нем сравниваются взгляды сотрудников Anthropic и широкой выборки взрослых американцев на то, как AI изменит их работу к 2030 году. Иными словами: взгляды тех, кто действительно создает и использует ИИ — и взгляды тех, кто с ним знаком по диалогам в ChatGPT и с…

👍40❤17👎6🔥5😁1

18 Oct 2026, 10:10 UTC≈7,820 views50 reactionsread 24 October 2026
Photo

Просто интересные цифры по электрификации транспорта в Китае: городские автобусы, как категория, первыми перешли в режим чистого замещения: новые экземпляры все только электробусы, оставшиеся с ДВС безвозвратно вымываются, и в итоге уже сам парк быстро станет чисто электрическим. Интересно, почему междугородние автобусы настолько отстают (зарядные станции вне городов?)— но вообще-то цифры по всем сегментам внушают. h…

❤28👍14🔥8

17 Oct 2026, 15:46 UTC≈8,290 views83 reactionsread 24 October 2026
Photo

Кстати о модных темах безработицы джунов, изменения структуры найма и переопределение привычных ролей в компании. Anthropic только что опубликовали очень познавательный отчет об их собственных внутренних изменениях. Конечно, это далеко не рядовая компания, но это и не мелкий стартап с копеечной аудиторией; ИИ в компании внедряется и используется в отсутствие сопротивления тех, кто ИИ не любит, ему не доверяет и его т…

👍43💩15❤13🔥7👏3👎1🤬1

17 Oct 2026, 11:46 UTC≈8,810 views117 reactionsread 24 October 2026

Прикольно выглядят исторические петли:) Сейчас с интересом читаю комментарии современных программистов, возмущенных комментарием Линуса Торвальдса, который посоветовал противникам генерированного кода быть последовательными и отказаться от компиляторов. Конечно, активное неприятие Фортрана с именно этим мотивом “долой компиляторы” случилось, когда я только родился, в 50-е:) Но когда я уже работал физиком в 80-е и нач…

❤49👍38🔥24💩6

Showing the 12 most recent of 5,529 posts we hold for @techsparks. 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.

Posts edited after publishing

@techsparks edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
23 October 2026
Most recent edit
23 October 2026

Forward network

Republished by

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

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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 25 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

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#10
Ваня Замесин
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UX Live 🔥
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Техножрица 👩‍💻👩‍🏫👩‍🔧
@tech_priestess · 15,104
#19
Код.ру
@d_code · 405,434
#20
AI Happens
@aihappens · 14,526
#21
Rozetked
@rozetked · 654,364
#22
Нецифровая экономика
@antidigital · 24,495
#23
Борис опять
@boris_again · 17,946
#24
Ppprompt | Sexy AI Prompts & Experiments | by @ponchiknews
@ppprompt · 15,556
#25
кабачковая икра по акции
@sale_caviar · 192,615
#26
Вправо Вверх 📈 Михаил Табунов
@bossofyourboss · 27,405
#27
Хабр
@habr_com · 133,497
#28
Derp Learning
@derplearning · 13,920
#29
Victor Osyka, техноцивилизация
@Victor_Osyka · 10,363
#30
42 секунды
@ftsec · 19,395
#31
Зрительная память
@vis_memory · 1,038
#32
Дизраптор
@disruptors_official · 72,486
#33
Раньше всех. Ну почти.
@bbbreaking · 1,976,428
#34
Метаверсище и ИИще
@cgevent · 53,293
#35
Neural Shit
@NeuralShit · 54,379
#36
RationalAnswer | Павел Комаровский
@RationalAnswer · 107,626
#37
Медуза — LIVE
@meduzalive · 1,119,838
#38
kyrillic
@kyrillic · 60,851
#39
The Edinorog 🦄
@Theedinorogblog · 43,747
#40
Дудь
@yurydud · 854,323
#41
Тёмная сторона / Темнографика
@temno · 79,368
#42
КОНТЕКСТ
@kontext_channel · 866,741
#43
Время Валеры
@cryptovalerii · 31,943
#44
vc.ru
@vcnews · 112,129
#45
Вастрик.Клуб
@vas3k_club · 11,321
#46
Радиорубка Лихачёва
@niketasfm · 12,317
#47
Антонов такой Антонов
@auantonov · 321,954
#48
Банкста
@banksta · 438,647
#49
Полный беспилот
@polnybespilot · 2,389
#50
Артемий Лебедев
@temalebedev · 967,552
#51
Хулиномика
@hoolinomics · 98,996
#52
Фичизм
@fichism · 25,252
#53
No Flame No Game
@proproduct · 38,650
#54
Kedr to Earth | Земля, я Кедр
@kedr2earth · 10,119
#55
Продакты не нужны
@betternotworse · 28,371
#56
CGIT_Vines
@CGIT_Vines · 11,659
#57
Екатерина Шульман
@eschulmann · 300,981
#58
Kali Novskaya
@rybolos_channel · 19,098
#59
Венчур в картинках
@ventureinpics · 11,304
#60
Zavtracast
@zavtracast · 14,715
#61
Сергей Марков: машинное обучение, искусство и шитпостинг
@oulenspiegel_channel · 11,157
#62
FEDOR BORSHEV
@pmdaily · 23,634
#63
Информация опасносте
@alexmakus · 18,750
#64
r/ретранслятор
@retra · 165,714
#65
🤖 The Bell Tech
@Bell_tech · 20,829
#66
Яндекс
@yandex · 616,348
#67
N + 1
@nplusone · 65,061
#68
LLM под капотом
@llm_under_hood · 29,823
#69
Чванство
@chvans · 15,168
#70
Kostya Gorsky’s Channel
@desprod · 25,673
#71
New Yorko Times
@new_yorko_times · 10,670
#72
Максим Спиридонов
@mspiridonov · 68,625
#73
Техно Фил
@kontsarenko · 3,965
#74
aavst2022
@aavst2022 · 175,486
#75
Глеб Кудрявцев — продукты и бизнес
@glebkudr · 17,224
#76
Шмит16
@Shmit16 · 17,643
#77
Стой под стрелой
@nikitonsky_pub · 11,888
#78
Пездуза
@pezduzalive · 370,173
#79
Русский венчур
@rusven · 24,972
#80
Рациональные числа
@rationalnumbers · 25,637
#81
Градиент обреченный
@doomgrad · 8,835
#82
Минцифры России
@mintsifry · 233,299
#83
MarketTwits
@markettwits · 338,754
#84
ЗаТелеком 🌐
@zatelecom · 64,582
#85
Мастриды
@mustreads · 45,027
#86
Русский маркетинг
@smmrus · 125,114
#87
Киты плывут на вписку с ЛСД
@whalesgohigh · 61,586
#88
Roem.ru
@roemru · 3,850
#89
proVenture (проВенчур)
@proventure · 18,653
#90
Беспощадный пиарщик
@prbezposhady · 151,674
#91
Ai molodca
@strangedalle · 46,686
#92
Без aspera
@bezaspera · 72,585
#93
Кримсон Дайджест
@crimsondigest · 141,256
#94
Dumik
@dumik · 21,907
#95
Фининди | Александр Елисеев
@Finindie · 73,449
#96
Dankest Memes // Данкест Мемс
@thedankestmemes · 46,276
#97

Read from Telegram’s recommendation API, most recently 27 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

Tech Crunch
@techcrunchru · 18,442
Telegram ranks this channel #6 of 95 here — alongside 94 others — read 5 October 2026
involta - технологии, наука, будущее, IT, интернет!
@involta · 33,926
Telegram ranks this channel #6 of 89 here — alongside 88 others — read 3 September 2026
addmeto
@addmeto · 71,863
Telegram ranks this channel #6 of 95 here — alongside 94 others — read 20 August 2026
Малоизвестное интересное
@theworldisnoteasy · 74,134
Telegram ranks this channel #6 of 94 here — alongside 93 others — read 19 August 2026
Digital Доктор
@tlgdoc · 29,248
Telegram ranks this channel #7 of 92 here — alongside 91 others — read 8 September 2026
Грокс
@groks · 42,514
Telegram ranks this channel #7 of 94 here — alongside 93 others — read 29 August 2026
Denis Sexy IT 🤖
@denissexy · 138,600
Telegram ranks this channel #9 of 95 here — alongside 94 others — read 13 August 2026
Fun Science
@funscience · 34,292
Telegram ranks this channel #10 of 97 here — alongside 96 others — read 3 September 2026
запуск завтра
@ctodaily · 33,722
Telegram ranks this channel #12 of 96 here — alongside 95 others — read 4 September 2026
42 секунды
@ftsec · 19,395
Telegram ranks this channel #13 of 95 here — alongside 94 others — read 2 October 2026
ПостНаука
@postnauka · 22,090
Telegram ranks this channel #13 of 99 here — alongside 98 others — read 23 September 2026
GPT/ChatGPT/AI Central Александра Горного
@aioftheday · 44,437
Telegram ranks this channel #13 of 97 here — alongside 96 others — read 29 August 2026
🤖 The Bell Tech
@Bell_tech · 20,829
Telegram ranks this channel #15 of 97 here — alongside 96 others — read 26 September 2026
Мастриды
@mustreads · 45,027
Telegram ranks this channel #16 of 98 here — alongside 97 others — read 27 August 2026
Стартап дня. Александр Горный.
@startupoftheday · 62,120
Telegram ranks this channel #16 of 97 here — alongside 96 others — read 22 August 2026
e/acc
@cryptoEssay · 63,573
Telegram ranks this channel #16 of 96 here — alongside 95 others — read 21 August 2026
Техасский Вестник
@starbasepost · 19,223
Telegram ranks this channel #17 of 92 here — alongside 91 others — read 4 October 2026
IT News | ИТ Новости | Техно
@techno_news_tg · 20,048
Telegram ranks this channel #17 of 75 here — alongside 74 others — read 29 September 2026
Все о блокчейн/мозге/space/WEB 3.0 в России и мире
@blockchainRF · 20,569
Telegram ranks this channel #18 of 97 here — alongside 96 others — read 27 September 2026
ТЕХНО: Яндекс про технологии
@techno_yandex · 221,300
Telegram ranks this channel #18 of 96 here — alongside 95 others — read 11 August 2026
Двоичный кот
@binarcat · 30,869
Telegram ranks this channel #19 of 93 here — alongside 92 others — read 9 September 2026
Сиолошная
@seeallochnaya · 80,677
Telegram ranks this channel #20 of 97 here — alongside 96 others — read 19 August 2026
Нецифровая экономика
@antidigital · 24,495
Telegram ranks this channel #22 of 96 here — alongside 95 others — read 16 September 2026
Популярная механика ⚙️
@Popmeh · 29,763
Telegram ranks this channel #22 of 88 here — alongside 87 others — read 8 September 2026

This channel appears in 107 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 24 October 2026 — this entry's latest reading, not the date you are reading this.

“TechSparks” (@techsparks), 46,772 subscribers as measured 24 October 2026. Telegram Register, tgregister.com/channel/techsparks.

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.