Telegram RegisterThe public register of Telegram
Telegram profile photo for EDU

Channel

EDU

@ProductsAndStartups

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

15,350subscribers

-175 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
DescriptionМои мысли про стартапы и продукты. Байрам Аннаков, фаундер and CEO onsa.ai - автоматизация B2B продаж Мой сайт: https://empatika.com Мой YouTube: https://www.youtube.com/BaykaAnnakov Мой LinkedIn: https://linkedin.com/in/bayramannakov
Created29 April 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live7 November 2026
Measurements held59
Confirmed unchanged1 time, most recently 7 November 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 the other topics.

Growth

15,32115,53615,428.56 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 subscribers1 October 2026 — 15,375 subscribers6 October 2026 — 15,343 subscribers10 October 2026 — 15,344 subscribers13 October 2026 — 15,342 subscribers15 October 2026 — 15,337 subscribers16 October 2026 — 15,329 subscribers17 October 2026 — 15,328 subscribers19 October 2026 — 15,327 subscribers20 October 2026 — 15,326 subscribers22 October 2026 — 15,328 subscribers23 October 2026 — 15,324 subscribers24 October 2026 — 15,321 subscribers25 October 2026 — 15,322 subscribers26 October 2026 — 15,321 subscribers27 October 2026 — 15,325 subscribers28 October 2026 — 15,338 subscribers29 October 2026 — 15,335 subscribers30 October 2026 — 15,340 subscribers31 October 2026 — 15,341 subscribers1 November 2026 — 15,337 subscribers2 November 2026 — 15,331 subscribers5 November 2026 — 15,330 subscribers6 November 2026 — 15,346 subscribers7 November 2026 — 15,350 subscribers15,3506 August 20267 November 2026
59 measurements spanning 94 days, net -175. 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 15,289–15,568 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 59
Measured (UTC)SubscribersChange
7 Nov 2026, 14:1915,350+4
6 Nov 2026, 11:0915,346+16
5 Nov 2026, 10:4815,330-1
2 Nov 2026, 09:3515,331-6
1 Nov 2026, 10:2015,337-4
31 Oct 2026, 08:0615,341+1
30 Oct 2026, 09:2815,340+5
29 Oct 2026, 09:5915,335-3
28 Oct 2026, 05:4015,338+13
27 Oct 2026, 08:2515,325+4
26 Oct 2026, 10:4915,321-1
25 Oct 2026, 10:1015,322+1
24 Oct 2026, 08:4915,321-3
23 Oct 2026, 10:0515,324-4
22 Oct 2026, 06:4015,328+2
20 Oct 2026, 20:5515,326-1
19 Oct 2026, 21:4115,327-1
17 Oct 2026, 00:1415,328-1
16 Oct 2026, 00:3715,329-8
15 Oct 2026, 04:0815,337first reading

Engagement

58 posts held, back to 3 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 64 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
18.3%
avg views ÷ 15,350 subscribers
Avg views / post
2,800
22 posts measured
Reaction rate
0.83%
reactions ÷ views · ER floor
Posts in window
22
of 58 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 6 November 2026
Posts held58 (3 July 2026 – 6 November 2026)
Views total61,690
Reactions total512
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 17:33 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
≈574
Videos
≈76
Links
≈1,030

Lifetime counters from Telegram’s own channel header, read 7 November 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
40s
Average length
40s

Measured directly from 1 video 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

1,990 reactions across 57 posts, in 29 distinct kinds. The most used accounts for 33.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤67533.9%
🔥52326.3%
👍25312.7%
🤣1467.34%
😁1427.14%
💯502.51%
👏432.16%
😍351.76%
🎉281.41%
🤝281.41%
🙏261.31%
🤔70.352%
🥴60.302%
❤‍🔥50.251%
✍30.151%
🤓30.151%
🥰30.151%
💅20.101%
🤷‍♀20.101%
⚡10.05%
9 further kinds90.452%

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 58 of the 58 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 2,164 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 58 most recent posts we hold, published 3 July 2026 to 6 November 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
30
across the posts below
Posts paid on
8
of 58 we hold a reading for · 14%
Most on one post
20
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 58 most recent posts we hold for this entry, published 3 July 2026 to 6 November 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

Telegram’s own ‘edited’ marker: 12 of 22 posts held from the last 30 days (54.5%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

6 Nov 2026, 08:11 UTC≈1,510 views25 reactionsread 7 November 2026

пришла пора новой переклички: уже год прошел :) Знакомимся? Пишите в комментариях несколько слов о себе, почему вы здесь и ссылку на свой LinkedIn/Телеграм канал Вот мой: https://www.linkedin.com/in/bayramannakov Зовут меня Байрам. Люблю технологии и обучение. И добрых Людей! Пытаюсь популяризировать предпринимательство и инструменты, помогающие в этом нелегком деле Ваш ход?

❤21❤‍🔥4

5 Nov 2026, 05:05 UTC≈1,930 views7 reactionsread 7 November 2026
Photo

Зачем просить LLM менять веса другой модели? В твиттере нашумела работа про Weight-Space Programming: LLM читает и меняет веса других нейросетей, а маленькие сети может писать с нуля. Откуда столько энтузиазма? В демо авторов Astra исправляет зацикливание Qwen, изменяя небольшую часть весов. CTO Legora показывает, как Fable пишет веса маленькой сети для проверки юридических ссылок. Ну и, разумеется, без сингулярнос…

👍6👏1

4 Nov 2026, 03:14 UTC≈1,950 views21 reactionsread 7 November 2026

На следующей неделе буду в Тбилиси: есть идейка в четверг 12го собраться в каком-нибудь пабе и развиртуализироваться/встретиться со старыми знакомыми Кто в деле - добавляйтесь в группу, там решим что и где: https://t.me/+JTacDrNziDYzNDk6

❤13🔥7🤷‍♂1

3 Nov 2026, 14:02 UTC≈2,130 views11 reactions1 Starread 7 November 2026
Photo

AI сделает компании меньше... или больше? У DeepMind вышла интересная работа про то, как AI изменит размер компаний. Авторы разделяют две способности: 1) компетенция - насколько хорошо агент выполняет задачу индивидуально 2) координация - насколько хорошо агенты работают вместе Более сильный агент позволяет делать больше прежней командой; улучшение координации может сделать выгодной более крупную организацию. Но з…

🔥5👍4❤2

31 Oct 2026, 04:52 UTC≈2,650 views29 reactionsread 7 November 2026

Запись встречи - enjoy! youtube.com/watch?v=CKicV_syHMM&feature=youtu.be Главы: 00:00 Приветствие и что изменилось у участников 05:04 Январь → октябрь: что изменилось в моей работе 08:06 Новые навыки: чистая среда, followthrough и персонализация 14:09 Правила, которые появились после ошибок 20:11 Карта задач: где я использую AI 25:42 Петля: контекст → попытка → проверка → исправление 26:42 Навыки и подключенные инст…

❤16🔥8👍3🤓2

30 Oct 2026, 10:11 UTC≈2,310 views11 reactionsread 7 November 2026
Video

AI и свобода ПЕРЕДУМАТЬ Прочитал мини-эссе Джеффри Катценберга про AI и творчество. Понравилась мысль, что спор «использовать AI или нет» завёл нас не туда: полезнее обсуждать условия, на которых мы будем его использовать. Интересный у него состоялся разговор с LLM о разнице между reasoning и creating: Reasoning and creating are two distinct cognitive modes, though they also work together. Reasoning is fundamental…

❤5🔥3👍2👻1

29 Oct 2026, 05:44 UTC≈2,310 views27 reactionsread 7 November 2026
Photo

Одиночество фаундера 2.0? Как-то писал здесь про одиночество руководителя. Кажется, у этой темы появляется новая версия: если всё больше работы можно сделать с агентами, как меняется само ощущение от работы? В недавнем разговоре у Лекса Фридмана Анкур Мойтра сформулировал интересное чувство: So I feel very excited, but maybe more intellectually lonely than I felt before. Он радуется новым возможностям AI, но пере…

❤20👍5⚡1👏1

28 Oct 2026, 05:31 UTC≈2,480 views8 reactionsread 7 November 2026
Photo

Как понять, что агент умеет делать продукт? В первом посте про изобилие кода мы приняли рабочую гипотезу: AI сможет выполнять значительную часть задач по разработке продуктов с приемлемым качеством, стоимостью и супервизией. Как выяснить, какую часть этой работы уже можно отдавать агентам? Окей, мы с вами знаем, что писать код они могут. Но при этом всем нам очевидно, что создать продукт это не только про написать…

❤4🔥2👍1👏1

27 Oct 2026, 06:07 UTC≈2,880 views56 reactionsread 7 November 2026
Photo

Forward Deployed Engineer детектед

🤣30❤16😁5👍2🔥2🥰1

26 Oct 2026, 19:57 UTC≈3,100 views41 reactionsread 7 November 2026

В январе я рассказывал, как юзаю Claude Code —> в пятницу сделаем апдейт Обсудим в пятницу: https://luma.com/i1i4k9qq

🔥25❤10👍2😁2👏1🤓1

26 Oct 2026, 17:29 UTC≈3,030 views10 reactionsread 7 November 2026

Такой маленький лайфхак, прилично повышающий удовольствие от прослушивания NotebookLM подкастов: попросите дружбана написать промпт при генерации подкаста для того, чтобы задать контекст (см. отрывок ниже). Особенно интересен эффект, когда хосты называют твое имя, обращаются к тебе, дают рекомендации Create an ENGLISH two-host Deep Dive, using Long length. Audience: Bayram, a practitioner and teacher preparing to re…

❤8😁2

26 Oct 2026, 06:51 UTC≈2,850 views13 reactionsread 7 November 2026

Фрагмент встречи про оптимизацию затрат на LLM пайплайны и AI агентов - enjoy! 00:00 Код, кэш и реальные замеры 00:21 Lead Scout: бизнес-задача 01:52 Onsa: какую работу можно убрать 08:47 Перенос идеи на Lead Scout 15:53 Качество, скорость и полная стоимость 21:24 Prompt caching: стабильный префикс 25:25 Компактный output 33:26 До эксперимента: ожидаемый эффект и границы 35:16 Кэш: проверяем реальные usage и стоимос…

🔥7❤2👍2👏1😍1

Showing the 12 most recent of 58 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.

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

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 18 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 · 28,398
Telegram ranks this channel #3 of 96 here — alongside 95 others — read 9 September 2026
Вправо Вверх 📈 Михаил Табунов
@bossofyourboss · 27,327
Telegram ranks this channel #4 of 95 here — alongside 94 others — read 10 September 2026
e/acc
@cryptoEssay · 63,672
Telegram ranks this channel #4 of 96 here — alongside 95 others — read 21 August 2026
No Flame No Game
@proproduct · 38,618
Telegram ranks this channel #8 of 96 here — alongside 95 others — read 31 August 2026
GPT/ChatGPT/AI Central Александра Горного
@aioftheday · 44,612
Telegram ranks this channel #8 of 97 here — alongside 96 others — read 29 August 2026
Evening Prophet
@eveningprophet · 19,083
Telegram ranks this channel #9 of 94 here — alongside 93 others — read 5 October 2026
GoPractice!
@gopractice · 29,394
Telegram ranks this channel #9 of 97 here — alongside 96 others — read 9 September 2026
Tech Crunch
@techcrunchru · 16,304
Telegram ranks this channel #10 of 95 here — alongside 94 others — read 5 October 2026
Максим Спиридонов
@mspiridonov · 69,463
Telegram ranks this channel #10 of 98 here — alongside 97 others — read 21 August 2026
Игорь Кузнецов о темных паттернах
@brainshare · 21,736
Telegram ranks this channel #12 of 93 here — alongside 92 others — read 22 September 2026
Стартап дня. Александр Горный.
@startupoftheday · 62,622
Telegram ranks this channel #13 of 97 here — alongside 96 others — read 22 August 2026
kyrillic
@kyrillic · 61,164
Telegram ranks this channel #13 of 96 here — alongside 95 others — read 22 August 2026
Matskevich - brains, love and robots
@Matskevich · 25,017
Telegram ranks this channel #14 of 98 here — alongside 97 others — read 14 September 2026
Ваня Замесин
@zamesin · 50,084
Telegram ranks this channel #14 of 97 here — alongside 96 others — read 25 August 2026
Product Management & AI
@ruspm · 25,022
Telegram ranks this channel #16 of 97 here — alongside 96 others — read 14 September 2026
TechSparks
@techsparks · 46,765
Telegram ranks this channel #16 of 97 here — alongside 96 others — read 27 August 2026
Индекс дятла
@dindex · 22,238
Telegram ranks this channel #20 of 98 here — alongside 97 others — read 21 September 2026
Epic Growth — рост продуктов
@epicgrowth · 26,083
Telegram ranks this channel #21 of 97 here — alongside 96 others — read 12 September 2026
Daily Reminder
@justakindreminder · 36,344
Telegram ranks this channel #21 of 98 here — alongside 97 others — read 1 September 2026
Rinat Aliev | Channel
@telega_Rinata · 20,678
Telegram ranks this channel #23 of 97 here — alongside 96 others — read 4 October 2026
запуск завтра
@ctodaily · 33,725
Telegram ranks this channel #23 of 96 here — alongside 95 others — read 4 September 2026
Тёмная сторона / Темнографика
@temno · 79,174
Telegram ranks this channel #23 of 99 here — alongside 98 others — read 18 August 2026
Малоизвестное интересное
@theworldisnoteasy · 74,258
Telegram ranks this channel #24 of 94 here — alongside 93 others — read 19 August 2026
Карьера в топ от Анны Знаменской
@annaznamenskaya · 30,044
Telegram ranks this channel #25 of 98 here — alongside 97 others — read 6 September 2026

This channel appears in 66 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 1 November 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 7 November 2026 — this entry's latest reading, not the date you are reading this.

“EDU” (@ProductsAndStartups), 15,350 subscribers as measured 7 November 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.