· Стейкинг — блокировка токенов для поддержки сети и получения дохода. Вывод из стейкинга = снятие токенов.

Channel
KIKI - SLANG
@kikimara_Slang
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
1subscribers
+0 since we began measuring on 11 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1004421332921 |
|---|---|
| Type | Channel |
| Username | @kikimara_Slang |
| Created | Between 1 June 2026 and 24 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 15 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/kikimara_Slang |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 05:15 | 1 | no change |
| 11 Aug 2026, 19:45 | 1 | first reading |
Engagement
20 posts held, back to 24 June 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 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 100.0%
- avg views ÷ 1 subscribers
- Avg views / post
- 1.0
- 2 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 2
- of 20 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.
| Window | Rolling 30 days · latest post in window 31 July 2026 |
|---|---|
| Posts held | 20 (24 June 2026 – 31 July 2026) |
| Views total | 2 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 05:15 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
- 2
- Links
- 1
Lifetime counters from Telegram’s own channel header, read 15 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.
Recent posts
· APR — годовая процентная доходность. Показывает, сколько процентов ты получишь за год стейкинга.
· Пепе сёрферы — NFT-подарки в Telegram с тематикой Pepe the Frog (популярный интернет-мем). Конкретная моделька в коллекции подарков. · Флор — минимальная цена, по которой сейчас продаётся NFT-подарок на маркетплейсе. Ориентир для покупателей и продавцов. · Сёрферы — NFT-подарки в Telegram, которые можно улучшать и продавать на маркетплейсах (GATES, GetGems и др.). · Моделька — конкретная разновидность NFT-подарк…
· MTONGA — инициатива Telegram по развитию TON-блокчейна, состоящая из нескольких этапов. 4 шаг — переход к децентрализации, включающий делистинг и листинг на Binance. · Делистинг — исключение актива с биржи (перевод из обращения на бирже). · Листинг — добавление актива на биржу (начало торгов). · Валидатор — участник блокчейна, который подтверждает транзакции и поддерживает работу сети. Telegram был крупнейшим ва…
· Ликвидность — способность актива быстро продаться по рыночной цене. Чем выше ликвидность, тем легче и быстрее ты продашь подарок. Низкая ликвидность = подарок висит неделями, цену приходится скидывать. 🤑 @kikimara_Slang
· Объем торгов — общее количество активов (монет, токенов, NFT), проданных и купленных за определенный промежуток времени (обычно за 24 часа). Чем выше объем, тем активнее торгуется актив, легче купить или продать по хорошей цене. Низкий объем означает, что актив "вялый" — продавать долго, цена может скакать от одной случайной сделки. 🤑 @kikimara_Slang
· Наратив — сюжет или идея, вокруг которой строится интерес к монете или проекту. Например, «мемкоин про собаку» или «токен на тему Илона Маска». Чем проще и понятнее наратив — тем больше людей его поддержат, и тем выше шанс роста цены. 🤑 @kikimara_Slang
· Спотовая торговля — покупка и продажа активов (монет, токенов) по текущей рыночной цене с мгновенным расчётом. Ты покупаешь — актив сразу поступает на твой баланс. Без кредитного плеча, без задержек. Самая простая и понятная форма торговли. 🤑 @kikimara_Slang
· Снипинг активов — покупка активов (монет, NFT) в первые секунды после их появления на рынке или запуска. Цель — перехватить дешёвую цену до того, как подтянутся остальные покупатели и цена улетит вверх. В Telegram реализован через ботов (например, Dtrade), которые позволяют моментально залетать в новые токены на TON. 🤑 @kikimara_Slang
Toberg (Adler Toberg) — член команды Telegram, отвечающий за развитие экосистемы цифровых подарков и NFT в мессенджере. Публикует инсайды о будущих обновлениях, что вызывает резкие скачки цен на маркетплейсах. Вот его официальный аккаунт @Toberg 🤑 @kikimara_Slang
· Памп — искусственное и резкое повышение цены актива (монеты, NFT-подарка) за короткое время. Обычно организуется группой людей или инсайдерами, которые заранее скупили актив по низкой цене, а затем создают ажиотаж (новостями, спойлерами, рекламой), чтобы цена взлетела. Когда цена достигает пика — организаторы продают свои активы (дамп), цена падает, а те, кто купил на пике, остаются в минусе. 🤑 @kikimara_Slang
· Дамп — резкое и быстрое падение цены актива. Обычно происходит после пампа, когда крупные держатели (или организаторы) массово продают свои активы, фиксируя прибыль. В результате цена обваливается, а те, кто купил на пике, уходят в минус. 🤑 @kikimara_Slang
Showing the 12 most recent of 20 posts we hold for @kikimara_Slang. 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.
Citation-graph rank
Citation-graph rank — 865,064 of 1,480,975entries 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.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“KIKI - SLANG” (@kikimara_Slang), 1 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/kikimara_Slang.
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.