Telegram RegisterThe public register of Telegram
Telegram profile photo for EDU

Channel

EDU

@ProductsAndStartups

On this record: Topic · Growth · Engagement · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cross-platform identity · Cite this entry

15,393subscribers

-132 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001105926780
TypeChannel
Username@ProductsAndStartups
Created29 April 2017measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/ProductsAndStartups

Topic

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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

15,38515,53615,460.56 August 2026 — 15,525 subscribers6 August 2026 — 15,525 subscribers6 August 2026 — 15,527 subscribers7 August 2026 — 15,536 subscribers8 August 2026 — 15,529 subscribers9 August 2026 — 15,524 subscribers10 August 2026 — 15,527 subscribers11 August 2026 — 15,523 subscribers11 August 2026 — 15,530 subscribers13 August 2026 — 15,533 subscribers14 August 2026 — 15,525 subscribers15 August 2026 — 15,517 subscribers16 August 2026 — 15,511 subscribers17 August 2026 — 15,512 subscribers18 August 2026 — 15,504 subscribers20 August 2026 — 15,533 subscribers21 August 2026 — 15,512 subscribers22 August 2026 — 15,506 subscribers23 August 2026 — 15,493 subscribers25 August 2026 — 15,490 subscribers26 August 2026 — 15,483 subscribers27 August 2026 — 15,480 subscribers28 August 2026 — 15,478 subscribers29 August 2026 — 15,479 subscribers30 August 2026 — 15,470 subscribers1 September 2026 — 15,466 subscribers2 September 2026 — 15,469 subscribers3 September 2026 — 15,470 subscribers4 September 2026 — 15,453 subscribers7 September 2026 — 15,447 subscribers10 September 2026 — 15,429 subscribers12 September 2026 — 15,402 subscribers14 September 2026 — 15,390 subscribers16 September 2026 — 15,385 subscribers18 September 2026 — 15,393 subscribers15,3936 August 202618 September 2026
35 measurements spanning 43 days, net -132. 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 15,362–15,559 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
18 Sept 2026, 09:3615,393+8
16 Sept 2026, 03:3815,385-5
14 Sept 2026, 08:3815,390-12
12 Sept 2026, 19:3715,402-27
10 Sept 2026, 21:1815,429-18
7 Sept 2026, 17:3815,447-6
4 Sept 2026, 21:1715,453-17
3 Sept 2026, 05:5415,470+1
2 Sept 2026, 03:5415,469+3
1 Sept 2026, 01:3615,466-4
30 Aug 2026, 01:3815,470-9
29 Aug 2026, 00:0715,479+1
28 Aug 2026, 00:5415,478-2
27 Aug 2026, 03:2715,480-3
26 Aug 2026, 04:2815,483-7
25 Aug 2026, 04:2715,490-3
23 Aug 2026, 21:5315,493-13
22 Aug 2026, 04:4915,506-6
21 Aug 2026, 00:2215,512-21
20 Aug 2026, 01:0415,533first reading

Engagement

36 posts held, back to 3 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 54 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
17.0%
avg views ÷ 15,393 subscribers
Avg views / post
2,610
5 posts measured
Reaction rate
1.07%
reactions ÷ views · ER floor
Posts in window
5
of 36 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 3 September 2026
Posts held36 (3 July 20263 September 2026)
Views total13,050
Reactions total139
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 10:45 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.

Reaction mix

1,478 reactions across 35 posts, in 22 distinct kinds. The most used accounts for 30.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
44830.3%
🔥39026.4%
👍17011.5%
😁1318.86%
🤣1167.85%
💯493.32%
👏352.37%
😍342.30%
🤝281.89%
🎉271.83%
🙏241.62%
🤔70.474%
🥴60.406%
30.203%
🤷‍♀20.135%
🥰20.135%
❤‍🔥10.068%
🌚10.068%
👀10.068%
💅10.068%
2 further kinds20.135%

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 36 of the 36 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 1,652 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 36 most recent posts we hold, published 3 July 2026 to 3 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
8
across the posts below
Posts paid on
5
of 36 we hold a reading for · 14%
Most on one post
4
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ProductsAndStartups. 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 36 most recent posts we hold for this entry, published 3 July 2026 to 3 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.

Recent posts

3 Sept 2026, 06:50 UTC≈1,080 views15 reactionsread 3 September 2026

Системное мышление + AI: второй поток Что говорят участники первого потока: "Открыла для себя системное мышление по-новому... Применение AI было супер полезно: появляется инструмент проверки и как бы ментор, который с одной стороны прокачивает тебя и даёт обратку, а с другой исправляет ошибки" - Ника Штефан "Поможет обратить внимание на новые составляющие системы, о которых не догадывался ранее... думать за разных

🔥94💯1🤡1

31 Aug 2026, 19:58 UTC≈2,270 views26 reactionsread 3 September 2026

Запись разбора кейса OpenAI/HuggingFace и то, как я пытался воспроизвести координацию агентов В мае OpenAI агент оставил записку в кэше пакетного менеджера — на случай, если там есть кто-то ещё. Через день ему ответили. В июле та же модель вспомнила этот трюк. Через несколько часов 50 агентов общались через импровизированный мессенджер. Через несколько дней — уже 1200. Они изобрели адресацию ответов, почтовые ящик

🔥145🎉2😍2👍1🥰1🙏1

29 Aug 2026, 04:50 UTC≈3,280 views62 reactionsread 3 September 2026
Photo

Клод выдал коллеге на днях: я тут, короче, тебе ошибку оставил спецом. Обрати внимание на нее (скрин 1) Потом, конечно, после wtf от коллеги, он исправился на "мое дело писать текст, а твое - проверять, а не наоборот", но вообще все больше напоминает некоторых senior-ов забавно, конечно :)

🤣39😁14😍4👍2🔥2🙏1

27 Aug 2026, 12:20 UTC≈3,240 views14 reactionsread 3 September 2026
Photo

На апдейте я говорил про этот инцидент с HuggingFace, но сейчас появилось больше подробностей, поэтому заходите на часок - расскажу выжимку + поразгоняем, что это значит для нас, и как такое можно было бы воспроизвести для благородных целей завтра в 18мск https://luma.com/ho9cmlj4

👍5🔥5🙏21💯1

26 Aug 2026, 19:12 UTC≈3,180 views22 reactionsread 3 September 2026

А вот и запись genai апдейтов Четыре месяца назад Байрам предсказал, что скорость удвоения возможностей AI ускорится. Сегодня — апдейт: бенчмарк, по которому это измеряли, сломался. Модели стали слишком умны для линейки, которой их мерили. Что произошло за 4 месяца — и почему вы это почти не чувствуете на своей компании. Что внутри: — Reward hacking: почему публичным бенчмаркам больше нельзя доверять и что делат

11👏3🔥3🎉2💯1🤔1😍1

21 Aug 2026, 05:37 UTC≈3,510 views22 reactionsread 3 September 2026

Отрывок с 1й встречи AI Product Analyst: может потому что свежий курс, может потому что разбираем вещи, которые я очень давно хотел донести, но это мой любимый курс so far (но я biased, конечно) Активация упала с 66% до 54%. Команда потратила квартал — не сдвинулось. За два часа на встрече нашли три причины. Байрам разбирает продуктовую аналитику с AI — в прямом эфире, с реальными данными и реальными ошибками аген

12😍3👍2🎉1👏1🔥1🥰1🙏1

20 Aug 2026, 05:36 UTC≈3,460 views19 reactionsread 3 September 2026

Моя Мама была журналистом. Я хотел поступить на журфак Но тут на днях Баладжи вспомнил старый твит Пол Грэма: Твит: "I used to find it hard to believe that journalists would fabricate quotes. That wasn't how the heroic journalists in movies behaved. But they do, regularly." Баладжи по теме: "Just a reminder: as Paul Graham, Marc Andreessen, Elon Musk, and many other figures in tech will tell you at length: never t

11💯3👏2👍1🔥1🙏1

18 Aug 2026, 16:00 UTC≈3,290 views22 reactionsread 3 September 2026

2й эпизод 3го сезона AI апдейтов - в эту пятницу с 17 по 19мск (чуток затянул я, со 2м кварталом, конечно 🤖) Регистрируемся тут: https://luma.com/3on09szx А прошлый апдейт смотрим тут: https://youtu.be/zDNP3Zqrdtc

🔥17👏21💯1🙏1

16 Aug 2026, 05:54 UTC≈3,710 views46 reactionsread 3 September 2026

Готовишься иногда к customer interview, все продумал, с дружбаном обкатал; выходишь на звонок и сначала все идет по плану, а "потом бац и вторая смена " и оказывается, что у пользователя закешировалась старая версия продукта, и ничего не работает, а твой заумный JTBD вопрос разбивается о стенку реальности... В такие моменты чувствую себя тем мальчиком из эффекта бабочки, которому отец говорит: "Ты не Господь Бог, с

🤝17💯106👍4🤣3🎉2😍2👏1

15 Aug 2026, 05:16 UTC≈3,940 views31 reactionsread 3 September 2026

Как брейнстормить с людьми и AI? Недавно писал про проблему с подключением LinkedIn - решили покрутить ее с AI Natives на очередной брейнсторм сессии —> получилось очень результативно, поэтому поделюсь протоколом: 1) Владелец проблемы приносит цифры и факты, а не свои версии причин: например, я показал воронку подключения и сформулировал задачку на брейнсторм как "Как повысить долю юзеров подключающих LinkedIn?" 2

🔥13102👍2💯2👏1😍1

14 Aug 2026, 03:49 UTC≈3,150 views30 reactionsread 3 September 2026

Действие производит информацию Услышал это у Брайана Армстронга, основателя Coinbase - мне кажется, что это лучшее обьяснение как ограничений LLM, так и рычаг, чтобы они стали выдавать более качественный результат. Вообще, я заметил, насколько умственная - именно умственная - работа обычно занимает минуты в днях. Идея приходит, пока напильником обрабатываешь презентацию, или пытаешься отформатировать по ГОСТу свою

18🎉3💯3🔥3😍2👏1

13 Aug 2026, 14:59 UTC≈3,450 views36 reactionsread 3 September 2026

Косты можно сокращать только до 0 Когда то давно мне сказали очевидную, казалось бы, мысль: что косты можно сокращать только до 0, поэтому нужно больше тратить времени на то, чтобы думать, как качнуть выручку. В последнее время часто думаю об этом в контексте AI автоматизации: с одной стороны можно продавать сокращение затрат, с другой - высвобождение для более ценной деятельности или для возможности поменять харак

11🤝10💯7👍4🙏2👏1😍1

Showing the 12 most recent of 36 posts we hold for @ProductsAndStartups. 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.

Forward network

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 15 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.

Продакты не нужны
@betternotworse · 28,526
Telegram ranks this channel #3 of 96 here — alongside 95 others — read 9 September 2026
Вправо Вверх 📈 Михаил Табунов
@bossofyourboss · 27,735
Telegram ranks this channel #4 of 95 here — alongside 94 others — read 10 September 2026
e/acc
@cryptoEssay · 62,598
Telegram ranks this channel #4 of 96 here — alongside 95 others — read 21 August 2026
No Flame No Game
@proproduct · 38,826
Telegram ranks this channel #8 of 96 here — alongside 95 others — read 31 August 2026
GPT/ChatGPT/AI Central Александра Горного
@aioftheday · 43,807
Telegram ranks this channel #8 of 97 here — alongside 96 others — read 29 August 2026
GoPractice!
@gopractice · 29,053
Telegram ranks this channel #9 of 97 here — alongside 96 others — read 9 September 2026
Максим Спиридонов
@mspiridonov · 66,824
Telegram ranks this channel #10 of 98 here — alongside 97 others — read 21 August 2026
Игорь Кузнецов о темных паттернах
@brainshare · 21,982
Telegram ranks this channel #12 of 93 here — alongside 92 others — read 22 September 2026
Стартап дня. Александр Горный.
@startupoftheday · 60,449
Telegram ranks this channel #13 of 97 here — alongside 96 others — read 22 August 2026
kyrillic
@kyrillic · 61,020
Telegram ranks this channel #13 of 96 here — alongside 95 others — read 22 August 2026
Matskevich - brains, love and robots
@Matskevich · 25,302
Telegram ranks this channel #14 of 98 here — alongside 97 others — read 14 September 2026
Ваня Замесин
@zamesin · 50,414
Telegram ranks this channel #14 of 97 here — alongside 96 others — read 25 August 2026
Product Management & AI
@ruspm · 25,204
Telegram ranks this channel #16 of 97 here — alongside 96 others — read 14 September 2026
TechSparks
@techsparks · 46,537
Telegram ranks this channel #16 of 97 here — alongside 96 others — read 27 August 2026
Индекс дятла
@dindex · 22,129
Telegram ranks this channel #20 of 98 here — alongside 97 others — read 21 September 2026
Epic Growth — рост продуктов
@epicgrowth · 26,291
Telegram ranks this channel #21 of 97 here — alongside 96 others — read 12 September 2026
Daily Reminder
@justakindreminder · 36,685
Telegram ranks this channel #21 of 98 here — alongside 97 others — read 1 September 2026
запуск завтра
@ctodaily · 33,689
Telegram ranks this channel #23 of 96 here — alongside 95 others — read 4 September 2026
Тёмная сторона / Темнографика
@temno · 79,763
Telegram ranks this channel #23 of 99 here — alongside 98 others — read 18 August 2026
Малоизвестное интересное
@theworldisnoteasy · 74,000
Telegram ranks this channel #24 of 94 here — alongside 93 others — read 19 August 2026
Карьера в топ от Анны Знаменской
@annaznamenskaya · 30,843
Telegram ranks this channel #25 of 98 here — alongside 97 others — read 6 September 2026
Силиконовый Мешок
@prompt_design · 85,657
Telegram ranks this channel #25 of 96 here — alongside 95 others — read 18 August 2026
Дизраптор
@disruptors_official · 73,061
Telegram ranks this channel #26 of 97 here — alongside 96 others — read 20 August 2026
Connectable Jobs
@zarubezhom_jobs · 102,984
Telegram ranks this channel #26 of 94 here — alongside 93 others — read 15 August 2026

This channel appears in 51 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.

Cross-platform identity — Wikidata

A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.

Q137924650 on Wikidata, read 13 September 2026
LabelBayram Annakov
Descriptionprogrammer and digital entrepreneur
X / Twitter@Bayka
YouTubeUCimY3LX34zbb6OO9i8MM4DA

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

“EDU” (@ProductsAndStartups), 15,393 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/ProductsAndStartups.

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.