Telegram RegisterThe public register of Telegram

Channel

Алек, сделай

@alek_dev

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

320subscribers

+0 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001471571718
TypeChannel
Username@alek_dev
Description💼 Менеджер Продукта в Сбере, преподаю в РАНХиГС, веду социальные AI проекты 🎓 ИТМО "Инновационное предпринимательство в IT", ШМЯ finished 🏆 Победитель в хакатонах: Сбер, VK, ЛЦТ @alialek
CreatedBetween 1 April 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live8 August 2026
Measurements held2
On Telegramt.me/alek_dev

Growth

3207 Aug 2026, 06:33 — 320 subscribers7 Aug 2026, 06:46 — 320 subscribers7 Aug 2026, 06:337 Aug 2026, 06:46
2 measurements taken within a single day. 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 319–321 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Aug 2026, 06:46320no change
7 Aug 2026, 06:33320first reading

Engagement

20 posts held, back to 28 December 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof 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 20 posts for this entry, the most recent from 4 July 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Photos
199
Videos
5
Links
54

Lifetime counters from Telegram’s own channel header, read 7 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

474 reactions across 20 posts, in 20 distinct kinds. The most used accounts for 36.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
17336.5%
🔥9319.6%
😁6213.1%
🤣306.33%
💯285.91%
132.74%
132.74%
👍112.32%
custom 5382152303211987086102.11%
custom 538225010391228327481.69%
71.48%
🎄71.48%
🤝71.48%
🏆30.633%
🌚20.422%
👎20.422%
👏20.422%
🎉10.211%
🤔10.211%
🤷10.211%

Custom emoji. 2 of the rows above are 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 counts beside them areTelegram’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 20 of the 20 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 474reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 28 December 2025 to 4 July 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
175
across the posts below
Posts paid on
9
of 20 we hold a reading for · 45%
Most on one post
109
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @alek_dev. 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 20 most recent posts we hold for this entry, published 28 December 2025 to 4 July 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

4 Jul 2026, 12:36 UTC215 views11 reactionsread 7 August 2026

3 обязательных пункта перед внедрением ИИ в бизнес-процессы Последние полгода активно консультирую команды и владельцев бизнеса по внедрению AI в рабочие процессы. И во всех случаях мы упираемся в базу из трех минимально необходимых критериев для этого: 1. Доступ к качественным моделям. Для каждой функциональной области есть разные бенчи и другие способы определить, что есть качество. Самое простое, что я рекоменду

7💯4

25 Jun 2026, 17:32 UTC310 views16 reactions1 Starread 7 August 2026
Photo

Особенности работы на AI Wellness продукте #1 Для тестирования гипотез на реальных данных коллеги будут следить за тем, чтобы вы не забывали про спорт

🔥15😁1

12 Jun 2026, 14:29 UTC448 views3 reactionsread 7 August 2026

А поделитесь, что вы используете для исследований, анализа рынка, продуктовых ресерчей с помощью ИИ? Какие-нибудь механики, промпты, скиллы, сервисы, помимо мозга и здравого смысла Собираю материал для презентации, очень поможет ваш опыт!

custom 538215230321198708621

16 May 2026, 18:43 UTC640 views28 reactionsread 7 August 2026

Я поменял местами две строчки в промпте и поднял метрики качества вдвое Недавно я работал над задачей многоклассовой классификации с помощью LLM. У меня был датасет с ручной разметкой, который я использовал для замера качества. Метрики в первой итерации были очень низкие (F1 0.33), но я грешил на модель: использовал самую дешевую Gemini 3.1 flash lite. Системный промпт мне нагенерил Codex, которого я заранее попрос

185🔥5

7 Apr 2026, 18:55 UTC748 views48 reactionsread 7 August 2026
Photo

Мне надоело каждый месяц выбирать кешбек в трёх банках и через секунду забывать о выбранных категориях Год назад к иконкам оплаты по NFC я добавил заметки, куда вношу актуальный кешбек. Они всегда на виду на главном экране, который я открываю перед покупкой Приложение называется ColorNote, но пойдет и любое другое. Лайфхак только для экономичных владельцев Android, где есть возможность оплаты по NFC ❤️ Ставьте лай

29🔥11😁5🌚2👍1

5 Apr 2026, 10:01 UTC571 views8 reactionsread 7 August 2026

Какие еще есть интересные особенности, если вы когда-нибудь будете релизиться в магазин VS Code: 🔵 Самая быстрая модерация на диком западе - 5 минут и обновление уже раскатывается на пользователей 🔵Отвратительная аналитика по скачиваниям, просмотрам, воронку считает вообще неправильно. Пользователям выводится одно число, вам, как разработчику - другое. Видел кучу тикетов на microsoft с просьбами объяснить логику, н

🤝5👍2🔥1

5 Apr 2026, 09:41 UTC493 views21 reactions1 Starread 7 August 2026
Photo

🧑‍💻Выбираем название для продукта Несколько недель назад навайбкодил расширение и опубликовал его в магазине VS Code (редактор кода для разработчиков). Никому не рассказывал о нем, за исключением нескольких коллег, поэтому все это время скачивания росли на органике из внутреннего магазина. Удивительно и неожиданно, но без рекламы там действительно можно получить пользователей! За это время вышло 5 обновлений, из ни

😁107💯4

21 Mar 2026, 11:36 UTC557 views36 reactionsread 7 August 2026
Photo

Сегодня помогаю в организации хакатона Вайбы зашкаливают ✨

🔥2511

19 Mar 2026, 08:55 UTC706 views31 reactionsread 7 August 2026

Недавно мне отправили посылку через озон, но она так и не дошла до меня Это явление называется озоновые дыры

😁19🤣10👏2

15 Mar 2026, 13:35 UTC701 views54 reactions16 Starsread 7 August 2026
Photo

Как вывести технологический продукт небольшого народа на уровень Яндекса и Google? Нужны две IT-команды и чуть больше 1000 людей, которым не всё равно ❤️‍🔥 Чуть больше года я рассказываю про один из любимых пет-проектов, который я веду в свободное время. Я отношусь к нему очень трепетно, потому что он не столько про технологии, сколько про ожидания и совместную работу коммьюнити из больше 1000 человек, которую мы о

2813🔥9🏆3🎉1

1 Mar 2026, 18:12 UTC624 views11 reactions12 Starsread 7 August 2026
Photo

Только недавно осознал, что все подписки на Vibe coding IDE (cursor, gemini, codex) можно использовать не только в рамках самих IDE и не только для разработки, но и для разметки данных. Для этого достаточно программно вызывать CLI, просить вывести JSON и сохранять этот ответ. Мы таким образом на этой неделе перевели ~200 тысяч предложений для нашего проекта, экспериментируя с синтетическими данными. Сэкономили приме

👍73🔥1

17 Feb 2026, 14:31 UTC671 views16 reactions109 Starsread 7 August 2026

Все ИИ-блогеры такие: - Я собрал приложение за два часа и опубликовал его в App Store Его пользователи такие: - Я потрачу ровно 0 минут на твой ИИ-слоп Первое, что пользователь поймёт в 90% случаев, заходя на сгенерированный сайт или приложение, - это то, что его автору было абсолютно пофиг на своих посетителей. Он считает это сразу по дизайну и текстам. И почти наверняка человек не сочтёт нужным потратить даже мину

🔥11💯5

Showing the 12 most recent of 20 posts we hold for @alek_dev. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Citation-graph rank

Citation-graph rank — 712,586 of 1,480,688entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republished by

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

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 7 August 2026 — this entry's latest reading, not the date you are reading this.

“Алек, сделай” (@alek_dev), 320 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/alek_dev.

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.