Лаборатория по ИИ 🧪
Агенты, вайбкодинг, топовые модели и способы получать от них максимум
Практические гайды, полезные находки и личный опыт
Связь/Сотрудничество - @lum1nat3
Чат - https://t.me/valencychat
Created
Between 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
7 measurements spanning 16 days, net +283. 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 7,394–7,761 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
22 Aug 2026, 14:15
7,719
+41
19 Aug 2026, 09:45
7,678
+83
16 Aug 2026, 13:47
7,595
+24
13 Aug 2026, 07:34
7,571
+36
10 Aug 2026, 14:37
7,535
+92
7 Aug 2026, 05:20
7,443
+7
6 Aug 2026, 09:21
7,436
first reading
Engagement
29 posts held, back to 6 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 16 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
78.4%
avg views ÷ 7,719 subscribers
Avg views / post
6,050
17 posts measured
Reaction rate
0.807%
reactions ÷ views · ER floor
Posts in window
17
of 29 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
Window
Rolling 30 days · latest post in window 22 August 2026
Posts held
29 (6 July 2026 – 22 August 2026)
Views total
102,830
Reactions total
830
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
22 Aug 2026, 20:46 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
69
Videos
1
Links
86
Lifetime counters from Telegram’s own channel header, read 22 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
1,297 reactions across 29 posts, in 9 distinct kinds. The most used accounts for 52.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5188220218966576989
685
52.8%
custom 5301075720234081313
326
25.1%
custom 5465465194056525619
133
10.3%
custom 5197434882321567830
73
5.63%
😁
42
3.24%
🤯
14
1.08%
custom 5427168083074628963
11
0.848%
custom 5440539497383087970
7
0.54%
😍
6
0.463%
Custom emoji. 6 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 29 of the 29 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 1,297reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 29 most recent posts we hold, published 6 July 2026 to 22 August 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
27
across the posts below
Posts paid on
20
of 29 we hold a reading for · 69%
Most on one post
4
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @valencylab. 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 29 most recent posts we hold for this entry, published 6 July 2026 to 22 August 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.
Бесконечный DeepSeek V4 Flash 😸
Я честно не ебу нахуй оно надо, но я слышал что кто-то им пользуется, так что держите быстрый способ
Инструкция:
🟡Регистрируемся на сайте через гугл или крипто кошелек (лучше не надо)
🟡Идем в API, создаем ключ и подключаем его куда угодно, например в OpenCode:
Base URL - https://api.b.ai/v1
Model - deepseek-v4-flash или deepseek-v4-flash-vision-exp
Акция лимитированная, хз скок будет…
GLM 5.3 БЕСПЛАТНО: 100 лямов токенов на аккаунт 📱
Новое видео на канале! В нем рассказал о новом способе на GLM 5.3, там на новые аккаунты дают по 100 миллионов токенов
Ссылка на видео:
https://youtu.be/nAc-m09n6Wg
https://youtu.be/nAc-m09n6Wg
https://youtu.be/nAc-m09n6Wg
Инструкция:
🟡Регистрируемся на сайте через гугл, гитхаб или временную почту
🟡Скачиваем ZCode по ссылке и входим со своего нового аккаунта
🟡Законч…
Как правильно писать промпты в 2026 году ✍
Написал статью с переводом официального видео от Anthropic на тему промптинга, где всё разжевал и рассказал понятным языком. Да, кажется очень банальным, но когда я вижу какие промпты некоторые пишут ИИшкам то я ахуеваю, так что кому-то точно будет полезно
Ссылка на статью:
https://teletype.in/@lum1nat3/K0uKNkgSYmE
И да, оригинальному видео уже целый год. Я это знаю 😺
По э…
Grok 4.6 всех обогнал🥵
Grok 4.6 вышел и все каналы уже пересказывают одну и ту же таблицу, мол теперь это самая умная модель. В таблице Grok победил в нескольких тестах и всё, можно закрывать интернет. Остальные строчки видимо никто не дочитал, потому что пост «Grok УНИЧТОЖИЛ ВСЕ МОДЕЛИ» сам себя не напишет. Хотя ладно, его как раз ИИшка и напишет😁
Выбирать модель по этим бенчмаркам это просто пиздец. Вам с ней не …
GPT-5.6 SOL И OPUS 4.8 БЕСПЛАТНО, БЕЗ КАРТ И ПОЧТ 😺
Новое видео на канале, залетайте!
Ссылка на видео:
https://youtu.be/aBWgMn7Nguk
https://youtu.be/aBWgMn7Nguk
https://youtu.be/aBWgMn7Nguk
Инструкция:
🟡Регистрируемся на сайте через гугл, гитхаб или временную почту
🟡В правом верхнем углу нажимаем Upgrade
🟡Выбираем подписку Enterprise и нажимаем Start Trial
🟡Выбираем рандомные значения и начинаем триал
🟡Скачиваем оф…
🪐 AHLIS SHOP 🪐
Ahlis Shop — магазин подписок на нейросети по доступным ценам (ебать) 🔈
━━━━━━━━━━━━━━
🤖 Gemini Pro 18 мес.
➖ от 80 ₽
🤖 Super Grok
➖ от 1050 ₽
🤖 ChatGPT с подпиской plus
➖ от 155 ₽
🖤CapCut pro
➖ от 15 ₽
➕ И многое другое ❗️
━━━━━━━━━━━━━━
🟡Автоматическая выдача товара после оплаты
🟡Ассортимент постоянно пополняется
🟡На каждый товар действует определённая гарантия
🟡Быстрая покупка без лишнего о…
Бронируем себе карту от Cloudflare 😇
Cloudflare планируют выпускать свои карты с которыми смогут взаимодействовать ваши ИИ агенты
Не знаю насколько это будет полезно для вас, но как минимум можете себе забронировать одну и выбрать крутяцкий никнейм 😎
Ссылка - https://cloudflare.pay/
Valency Labs | Чат | YouTube | Discord
Бесплатный Google AI Plus на 12 месяцев ♊️
Вах вах крутяк, давайте быстренько наклепаем себе аккаунтов. Дел на 3 минуты🔈
Инструкция:
🟡Регистрируемся на сайте через гугл почту
🟡Заполняем имя фамилию
🟡Генерируем любой номере телефона, например тут
🟡Заполняем данные, можете заполнить так:
Город - Delhi, India
Type - College Student
Course - B.Tech
College name - University of Delhi
Годы выпуска например 2020 - 2030
Да…
Бесплатные Claude Fable 5, Opus 5, Gpt 5.6 sol, Kimi K3 и тд 🤖
И всё это в CLI нахуй!
Давно не было годных абузов, прошу меня простить. Название вы прочитали, можем сразу перейти к делу
Инструкция:
🟡Регистрируемся на сайте (по рефке фри 10$ сверху вроде как)
Dustmail не проходит. Делаем либо через официальные почты, либо ищем подходящие времянки
🟡Активируем фри триал не неделю и получаем базовые 2$ кредитов + недел…
Showing the 12 most recent of 29 posts we hold for @valencylab. 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.
Posts edited after publishing
@valencylab 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
10 August 2026
Most recent edit
10 August 2026
Citation-graph rank
Citation-graph rank — 388,545 of 1,585,237entries 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 6 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.
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 22 August 2026 — this
entry's latest reading, not the date you are reading this.
“Valency Labs | AI” (@valencylab), 7,719 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/valencylab.
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.