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Channel

How2AI

@How2AI

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Advertising · Posts · Citations · Telegram's recommendations · Cite this entry

15,663subscribers

+411 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001904018622
TypeChannel
Username@How2AI
Created18 April 2023 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live13 October 2026
Measurements held35
Confirmed unchanged1 time, most recently 13 October 2026
On Telegramt.me/How2AI

Topic

Technology — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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

15,24915,66315,4567 August 2026 — 15,252 subscribers7 August 2026 — 15,249 subscribers9 August 2026 — 15,254 subscribers10 August 2026 — 15,276 subscribers11 August 2026 — 15,294 subscribers12 August 2026 — 15,299 subscribers13 August 2026 — 15,309 subscribers14 August 2026 — 15,317 subscribers16 August 2026 — 15,318 subscribers17 August 2026 — 15,322 subscribers18 August 2026 — 15,324 subscribers19 August 2026 — 15,319 subscribers20 August 2026 — 15,315 subscribers21 August 2026 — 15,321 subscribers22 August 2026 — 15,316 subscribers24 August 2026 — 15,315 subscribers25 August 2026 — 15,312 subscribers26 August 2026 — 15,314 subscribers27 August 2026 — 15,318 subscribers29 August 2026 — 15,317 subscribers30 August 2026 — 15,319 subscribers31 August 2026 — 15,327 subscribers2 September 2026 — 15,325 subscribers3 September 2026 — 15,335 subscribers5 September 2026 — 15,356 subscribers8 September 2026 — 15,404 subscribers11 September 2026 — 15,423 subscribers13 September 2026 — 15,435 subscribers15 September 2026 — 15,456 subscribers16 September 2026 — 15,468 subscribers19 September 2026 — 15,460 subscribers25 September 2026 — 15,471 subscribers4 October 2026 — 15,526 subscribers8 October 2026 — 15,617 subscribers13 October 2026 — 15,663 subscribers7 August 202613 October 2026
35 measurements spanning 67 days, net +411. 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 15,187–15,725 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
13 Oct 2026, 01:4015,663+46
8 Oct 2026, 14:1715,617+91
4 Oct 2026, 05:5415,526+55
25 Sept 2026, 16:2015,471+11
19 Sept 2026, 05:1815,460-8
16 Sept 2026, 23:0115,468+12
15 Sept 2026, 00:5715,456+21
13 Sept 2026, 09:3915,435+12
11 Sept 2026, 11:4015,423+19
8 Sept 2026, 19:1815,404+48
5 Sept 2026, 09:5715,356+21
3 Sept 2026, 12:3615,335+10
2 Sept 2026, 06:1215,325-2
31 Aug 2026, 12:1715,327+8
30 Aug 2026, 13:5415,319+2
29 Aug 2026, 12:2515,317-1
27 Aug 2026, 11:5815,318+4
26 Aug 2026, 09:5215,314+2
25 Aug 2026, 13:0815,312-3
24 Aug 2026, 15:0715,315first reading

Engagement

32 posts held, back to 22 July 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 55 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 32 posts for this entry, the most recent from 2 September 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
9m 38s
Average length
58s

Measured directly from 10 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

1,023 reactions across 32 posts, in 22 distinct kinds. The most used accounts for 25.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥26025.4%
❤24323.8%
👍15214.9%
😁858.31%
💯787.62%
custom 5442611071779101206595.77%
🗿313.03%
🤬282.74%
🤣161.56%
⚡121.17%
👏111.08%
🫡111.08%
🤔90.88%
🤷‍♂70.684%
👌50.489%
😢50.489%
😱40.391%
👀20.196%
👾20.196%
😭10.098%
2 further kinds20.196%

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 32 of the 32 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 1,023 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 32 most recent posts we hold, published 22 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.

Telegram Stars

Stars received
6
across the posts below
Posts paid on
3
of 32 we hold a reading for · 9%
Most on one post
4
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @How2AI. 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 32 most recent posts we hold for this entry, published 22 July 2026 to 2 September 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.

Advertising

Ad load
3.13%
1 of 32 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
2,980
over 1 measured post
Median views · rest
5,470
over 31 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.

Measured over the 32 most recent posts we hold, published 22 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, 05:18 UTC≈2,600 views29 reactionsread 3 September 2026
Photo

🕺 Claude Fable 5.1 и Mythos 5.1 подъехали Fable - для всех. Mythos - та же модель, но со смягчёнными ограничениями для проверенных киберзащитников и биологов. В блог-посте делают фокус на науку. Mythos 5.1 открыл, ускорил и создал всякого разного – от новых белков до высокодетальной карты трети Венеры по радарным снимкам NASA 30-летней давности. Fable 5.1 стоит на ~25% дешевле Fable 5 на типичных задачах и до ~45%…

custom 544261107177910120616🔥9❤4

Signed дядя_д

1 Sept 2026, 11:15 UTC≈3,080 views34 reactionsread 3 September 2026

😵 Ботами руководят боты: как инженер SpaceX собрал ии-команду на Grok Bot Нашел интересную статью от Линкси Ли, инженера SpaceX У него пять инженерных ботов в Grok Bot, каждый владеет своей зоной: iOS, десктоп-клиент, инфраструктура, Android и harness. Каждый бот запускает Cursor cloud-агентов, читает их транскрипты, проверяет пруфы в PR и сам разблокирует зависшие запуски. Раньше он вручную управлял 15 cloud-аген…

custom 544261107177910120614👍9❤5🤔3🔥2🫡1

Signed дядя_д

1 Sept 2026, 09:09 UTC≈2,980 views7 reactionsread 3 September 2026
AdvertisementPhoto

🎮 Знакомьтесь с Freebie Bot – вашим помощником по подпискам Больше не нужно искать скидки по разным сайтам. Freebie Bot собирает лучшие акции в одном месте: PlayStation, Xbox, Spotify, ChatGPT, Claude, Adobe, и многое другое. Цены выходят и правда приятные, сами посудите: Spotify – от 165₽/мес Яндекс Плюс – от 50₽/мес PlayStation Plus – от 299₽/мес MS Office – от 74₽/мес Freebie Bot – все ваши любимые сервисы под…

❤4👍2🔥1

Signed дядя_д

31 Aug 2026, 09:48 UTC≈3,040 views8 reactions1 Starread 3 September 2026
Forwarded from @true_dyadya_d

🍞 Че по скиллам? Поделитесь вашими любимыми скиллами для ИИ-агентов в комментах – чем пользуетесь и почему. Покумекаем – соберем класснубю подборку. И ролик, может, снимем 🤔 дядь_д

❤5⚡2🔥1

Signed дядя_д

30 Aug 2026, 08:17 UTC≈3,570 views20 reactionsread 3 September 2026
Photo

🍌 Новый выпуск новостей. Возвращение блудного Дяди Д — ChatGPT сам логинится на сайтах: облачный браузер и компьютер прямо в приложении — Nvidia покупает Hugging Face за $13 млрд и подгребает под себя весь опенсорс — Mac Studio на M5 Ultra: 512 ГБ памяти под локальные модели — GLM 5.3 Flash — тёмная лошадка недели: в 7 раз дешевле флагмана — Gemini Omni Flash 1.1 обогнала Seedance 2.5 и научилась продлевать видео 📱…

🔥14❤3👍3

Signed Креативный совет

26 Aug 2026, 05:05 UTC≈5,740 views30 reactionsread 3 September 2026
Photo

😮 Apple выкатила 4 новых Mac для бодрого запуска локальных LLM и не только Две версии Mac mini на чипах M6 (первый 2-нм чип Apple) и M5 Pro. И две версии Mac Studio на M5 Max и M5 Ultra. Странная связка "новый M6 + M5 Pro прошлого поколения" в одном Mac mini - не ошибка. Apple отменила M6 Pro, M6 Max и M6 Ultra целиком. Единственный чип поколения M6 - базовый. M5 Pro воткнули как переходную меру из MacBook Pro, чт…

❤15👍7custom 54426110717791012066👏1🫡1

Signed дядя_д

23 Aug 2026, 09:18 UTC≈4,880 views31 reactions1 Starread 3 September 2026
Photo

😱 Новый выпуск новостей на канале. Уже №158 — Cursor выкатил свой аналог GitHub ровно в день, когда GitHub упал — Прибыль Anthropic $65 млрд в год и IPO на $2 трлн — Волна апскейлеров: Runway, Topaz, FLUX и HeyGen — HDR и 4K — Suno Studio 2.0 стала браузерной DAW 📱 Уже на канале - https://youtu.be/PpXStEgNVtI @how2ai | Забустить канал | ИИ в бизнес

🔥18❤6custom 54426110717791012063⚡2👍1😁1

Signed Креативный совет

20 Aug 2026, 18:40 UTC≈5,710 views16 reactionsread 3 September 2026
Video

🧊 Годнота для тех кому актуально научить агента 3д: Вышел Spline V2 - агентный 3D прямо в браузере. – AI Agent Mode: агент сидит в сайдбаре и сам крутит все параметры 3D сцен. Все остается полностью редактируемым – Spline MCP - рулите редактором из вашего харнеса – Новый движок на WebGPU: PBR-материалы, HDRi, tone mapping, physical sky, отражения, зеркала, декали, слои пыли и полостей. – Code-режим: HTML/JS поверх …

🔥8👍4❤3😁1

Signed Креативный совет

18 Aug 2026, 13:57 UTC≈5,690 views71 reactionsread 3 September 2026
Video

🥲Минутка ностальгии Как ощущался первый контакт с ChatGPT в уже далеком 🫣 2022 @how2ai | Забустить канал | Внедряем ИИ в бизнес

😁35❤28😢4🔥2⚡1🗿1

Signed Креативный совет

16 Aug 2026, 08:19 UTC≈6,110 views20 reactionsread 3 September 2026
Photo

🫵 Новости ИИ 157! xAI выпускает Grok Bot, GPT-5.6 Sol бьёт рекорды скорости, Claude решает гипотезу Римана, а LTX 2.5 генерирует видео быстрее чем его длительность 📱 Туть - https://youtu.be/CSH3BZ2LJ3c Смотреть наш беслпатный урок по ии агентам @how2ai | Забустить канал | Внедряем ИИ в бизнес

❤10👍7⚡3

Signed Креативный совет

14 Aug 2026, 12:12 UTC≈6,640 views32 reactionsread 3 September 2026
Video

👁 ChatGPT теперь запомнит всё, что ты делал за компом. OpenAI выкатила Computer History для десктоп-приложения. Фича собирает твою активность во всех приложениях и браузере на Mac - клики, ввод, переключения окон - и превращает это в контекст для будущих диалогов. Никаких скриншотов и аудио, только event-стрим через accessibility-интерфейс macOS. "Над чем я работал сегодня с утра?" - и ChatGPT ответит по таймлайну.…

🔥22👏4❤3🤬2👾1

Signed дядя_д

14 Aug 2026, 08:12 UTC≈5,380 views24 reactionsread 3 September 2026
Photo

🤖 Как превратить свой компьютер в приватный ИИ-сервер и запускать LLM бесплатно? В этом ролике обзор LM Studio. Все функции, настройки и связка с Hermes Погнали - https://youtu.be/Fl6QdIklawE 🎁 Методичка по настройкам LM Studio + Hermes – https://t.me/how2ai_bot?start=dl-1786691875693550b8d781 @how2ai | Забустить канал | Внедряем ИИ в бизнес

🔥15custom 54426110717791012064❤3👀2

Signed Креативный совет

Showing the 12 most recent of 32 posts we hold for @How2AI. 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

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 13 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.

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.

Serge_AI 1.0
@serge_ai · 56,963
Telegram ranks this channel #4 of 99 here — alongside 98 others — read 23 August 2026
Канал Игоря Зуевича
@zuevichigor · 39,714
Telegram ranks this channel #13 of 91 here — alongside 90 others — read 30 August 2026
Анжела Петкова | ИИ на практике
@anjela_p · 78,308
Telegram ranks this channel #20 of 93 here — alongside 92 others — read 22 August 2026
Промты для нейросетей
@iidlyabi · 22,505
Telegram ranks this channel #21 of 87 here — alongside 86 others — read 20 September 2026
🟡NeuroGraph
@neyr0graph · 34,436
Telegram ranks this channel #23 of 90 here — alongside 89 others — read 3 September 2026
SYNTX FAMILY
@syntxfamily · 323,652
Telegram ranks this channel #28 of 93 here — alongside 92 others — read 22 August 2026
Нейро Ликбезик | Кирилл Безиков
@kirillbezikov · 19,947
Telegram ranks this channel #30 of 96 here — alongside 95 others — read 29 September 2026
Промт дня (Приручаем ChatGPT, Midjourney и другие нейросети)
@ai2smm · 59,134
Telegram ranks this channel #31 of 95 here — alongside 94 others — read 22 August 2026
Ринат Шакиров | Промпты для Midjourney | ChatGPT |
@dailyprompts · 42,731
Telegram ranks this channel #32 of 91 here — alongside 90 others — read 29 August 2026
Lama AI
@lama_channel_gpt · 24,381
Telegram ranks this channel #36 of 90 here — alongside 89 others — read 15 September 2026
AI Университет
@neural_university_webinar · 37,337
Telegram ranks this channel #38 of 96 here — alongside 95 others — read 31 August 2026
Смотри, Морозов и ИИ
@mmmorozov · 62,150
Telegram ranks this channel #43 of 96 here — alongside 95 others — read 23 August 2026
CyberYozh AI Security
@CyberYozh_AI_security · 26,305
Telegram ranks this channel #45 of 91 here — alongside 90 others — read 12 September 2026
Егор Кузьмин XR
@EgorKuzminxr1 · 21,517
Telegram ranks this channel #49 of 90 here — alongside 89 others — read 23 September 2026
Neural Brain - Нейросети
@neural_braining · 21,431
Telegram ranks this channel #49 of 90 here — alongside 89 others — read 23 September 2026
Нейросетевые покои: нейросети, ChatGPT, Midjourney
@neural_houses · 44,331
Telegram ranks this channel #69 of 92 here — alongside 91 others — read 28 August 2026
English from London
@thegap_club · 36,275
Telegram ranks this channel #80 of 92 here — alongside 91 others — read 2 September 2026

This channel appears in 17 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 13 October 2026 — this entry's latest reading, not the date you are reading this.

“How2AI” (@How2AI), 15,663 subscribers as measured 13 October 2026. Telegram Register, tgregister.com/channel/How2AI.

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.