Marketing & affiliate — 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 19 September 2026 and assigned it the closest of 31 fixed categories, at 42% 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
7 measurements spanning 38 days, net +36. 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 923–976 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Sept 2026, 18:38
970
+1
7 Sept 2026, 20:38
969
+23
29 Aug 2026, 09:14
946
+12
22 Aug 2026, 09:56
934
+5
15 Aug 2026, 18:28
929
-5
8 Aug 2026, 00:50
934
no change
7 Aug 2026, 18:39
934
first reading
Engagement
20 posts held, back to 13 April 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 1 page 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 20 posts for this entry, the most recent from 25 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
10s
Average length
10s
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
312 reactions across 19 posts, in 11 distinct kinds. The most used accounts for 40.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
127
40.7%
🔥
106
34.0%
😱
38
12.2%
😍
12
3.85%
🤯
8
2.56%
💯
7
2.24%
❤🔥
6
1.92%
👍
3
0.962%
🤩
2
0.641%
🥰
2
0.641%
custom 5353060840448727534
1
0.321%
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 19 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 312 reactions 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 13 April 2026 to 25 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
2,995
across the posts below
Posts paid on
13
of 20 we hold a reading for · 65%
Most on one post
1,050
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @adult_kaleb. 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 13 April 2026 to 25 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.
Дароу! Это снова Лора 💋
Недавно я оформляла возврат своей бракованной OBSBOT Tiny3, о которой мечтала 😩 Поэтому пришлось снова вернуться к стримам с айфона.
И поняла, что за два года использования iPhone 15 Pro + Camo я готова рекомендовать этот вариант даже больше, чем любые вебки.
Во-первых, мне больше нравится картинка с айфона, чем с Logitech Brio. Она выглядит более живой и приятной, без этого ощущения “обычн…
🌟 TRAVKA EXCHANGE — это обменник, который ты полюбишь
🕙 Работаем 24/7. Без перерывов.
💳 Зачисление строго одним переводом.
❤️ Первый и каждый пятый обмен - бесплатно.
А тут больше наших фишек:
💎 Умеем выводить стрипчат и фансли
💎 Гарантируем лучший курс: если у кого-то он выше, то мы перекроем
💎 Умеем пополнять карты наличными
💎 Можем выдать нал с банкомата без использования твоих счетов
💎 Отвечаем чуть медлен…
К чему ведет ваше сталкерство 🧐
На днях один из моих мемберов поделился довольно печальной историей. Если коротко, модель отслеживала его траты по сайту и устраивала сцены ревности. Банила, возвращала и снова банила.
В конце он добавил:
“She traumatized me, honestly”
В минусе оказались оба.
Модель, которая вытрепала себе нервы слежкой и разборками и лишилась фана. Мембер, который узнал об этом виде слежки и будет …
Привет! 💋На связи Лора, редактор этого канала. Пока Калеб греется на солнце и купается в море, я тут со свежим постом!
Сегодня поговорим про ✨позиционирование✨.
Если кратко, то позиционирование - это то, как другие люди воспринимают тебя и что выделяет тебя среди других.
На консультациях мы с Калебом часто сталкиваемся с такой, казалось бы простой, но anyway проблемой. Когда модель сама не понимает, что она трансли…
🚨 Развернул бот и сайт для проверки на слив
В выборку попало какое-то количество мусорных / забаненных / удаленных аккаунтов, но большая часть шлака и мемберских аккаунтов выкинута.
Хочу выразить благодарность за помощь следующим проектам за помощь с оперативным разворачиванием сервера, бота, сайта и за огласку
@travka_change
@sexlife_experience
@thatsmemom
leaked.herbalsomml.com/
@leaked_cb_emergency_bot
Канал пока на небольшом отпуске, посты будут выходить чуть реже
А пока можете просто порадоваться за деда Калеба, я первый раз в другой стране, второй раз в жизни вижу море (первый был в 6 лет).. я как будто в другом мире 🤪
Я все еще не спавший с дороги поэтому трудно что-то вам тут рассказывать, но эмоций тонна а это я только еду в отель, что будет дальше даже страшно представить )
Не забывайте про обмен в травке …
💸 8 бирж Paxum и заморозки. Проверяем, куда выводит Paxum и что работает для россиян в июне 2026
После 20-го пакета санкций ЕС и британских санкций против HTX мы разобрались, что реально работает для вывода крипты — по нашим клиентам и студиям. Делимся, как и обещали.
🙂 Для тех, кто пропустил контекст — вот тут разбор того, что случилось.
Оффтоп:
если вы проект, который работал по дроппам, и попали под каток — соб…
Тип отзыва: Положительный
На кого отзыв: @kaleb_adult
Дата отзыва: 23.05.2026
Автор отзыва: @alcantaraLV
Отзыв:
Брали консультацию, ребята смотрели 8 часовой поток и через 2 дня состоялся созвон) Разобрали буквально все: продажи, оформление аккаунтов, менюшек, поведение во время стрима оператора и модели, и очень много всего. Подсветили много моментов, о которых даже не задумывались.
11/10, очень качественно, в буд…
❤8🔥1
Showing the 12 most recent of 20 posts we hold for @adult_kaleb. 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
Names
Channels on the register whose handles appear in this channel's posts.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@adult_kaleb named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@travka_exchange_bot named in 1 post, 8 August 2026 – 8 August 2026
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 14 September 2026 — this
entry's latest reading, not the date you are reading this.
“Kaleb Content Creator” (@adult_kaleb), 970 subscribers as measured 14 September 2026. Telegram Register, tgregister.com/channel/adult_kaleb.
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.