STON.fi добавил Avalanche и Arbitrum в кроссчейн-свапы. Теперь можно быстро обменивать USDT и USDC между TON, Avalanche, Arbitrum и другими сетями. Пока есть лимит: до $1000 за одну транзакцию.
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Channel
@crypto_forest4
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
931subscribers
-68 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002231572306 |
|---|---|
| Type | Channel |
| Username | @crypto_forest4 |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 31 October 2026 |
| Measurements held | 12 |
| Confirmed unchanged | 1 time, most recently 31 October 2026 |
| On Telegram | t.me/crypto_forest4 |
Crypto & trading — 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 92% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 31 Oct 2026, 07:41 | 931 | -3 |
| 25 Oct 2026, 02:30 | 934 | -5 |
| 18 Oct 2026, 11:05 | 939 | -8 |
| 10 Oct 2026, 11:16 | 947 | -12 |
| 1 Oct 2026, 08:21 | 959 | -7 |
| 16 Sept 2026, 21:20 | 966 | -6 |
| 8 Sept 2026, 21:59 | 972 | -12 |
| 31 Aug 2026, 10:25 | 984 | -7 |
| 23 Aug 2026, 09:12 | 991 | -4 |
| 16 Aug 2026, 08:35 | 995 | -4 |
| 8 Aug 2026, 00:34 | 999 | no change |
| 7 Aug 2026, 13:14 | 999 | first reading |
20 posts held, back to 3 February 2025 — 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 8 July 2026. An engagement rate over an empty window would be a number about nothing.
48 reactions across 17 posts, in 8 distinct kinds. The most used accounts for 39.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 19 | 39.6% | |
| 👍 | 11 | 22.9% | |
| 🔥 | 10 | 20.8% | |
| 👌 | 4 | 8.33% | |
| 💯 | 1 | 2.08% | |
| 😁 | 1 | 2.08% | |
| 😍 | 1 | 2.08% | |
| 🤝 | 1 | 2.08% |
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 17 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 48 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 3 February 2025 to 8 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.
STON.fi добавил Avalanche и Arbitrum в кроссчейн-свапы. Теперь можно быстро обменивать USDT и USDC между TON, Avalanche, Arbitrum и другими сетями. Пока есть лимит: до $1000 за одну транзакцию.
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🚀 Pyth преодолел отметку в $3,25 трлн совокупного объёма. Май: $130 млрд общего объёма ($110 млрд RWA) Июнь (на данный момент): $100 млрд общего объёма ($80 млрд RWA) Инфраструктура, которая обеспечивает новое поколение торговли RWA. 📈
Нашёл несколько интересных фарминг-пулов на STON.fi, решил закинуть сюда 👀 STON/USDT — сейчас можно получать награды в STON, плюс действует Boost с повышенным APR. JETTON/USDT и JETTON/GRAM — проект JetTon Games раздаёт дополнительные награды для фармеров. STORM/GRAM — тоже выглядит неплохо, награды начисляются каждый день. Что понравилось — LP-токены не блокируются, поэтому выйти из фарминга можно в любой момент
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Наткнулся в канале STON.fi на статистику STON.fi за май и, честно говоря, цифры удивили. Объём обменов превысил $330 млн, хотя ещё в апреле было около $70 млн. Рост почти в 5 раз за месяц — выглядит так, будто активность в TON реально начинает набирать обороты. Интересно посмотреть, смогут ли удержать такой темп в ближайшие месяцы. ссылка на пост https://t.me/ston_fi_ru/1393
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Пока традиционные рынки спят, Pyth уже считает цены 24/7. Нефть, акции, золото — без выходных. Coinbase, Kraken и dYdX уже подключились. Будущее финансов включено.
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Попробовал новое обновление STON.fi — теперь можно делать кроссчейн-свопы между TON и EVM-сетями прямо в приложении. Без бриджей, лишних вкладок и танцев с кошельками. Например, спокойно поменял USDC в Base на USDT в Ethereum за пару кликов. Сейчас работают TON, Ethereum, Base, BNB Chain и Polygon, а лимит на одну операцию пока до $1000. Отдельно понравилось, что через Omniston показывается финальная сумма заранее…
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When you realize the market runs on data, not opinions 📈
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Everyone: “Still refreshing charts like it’s 2017” Meanwhile $PYTH just out here feeding blockchains the real truth 24/7 😂
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👀 Спустя пару месяцев отдыха залетаем в проект Boundless Boundless проект, помогает в разработке web3-стартапов. Инвест у проекта 52 млн$ от Delphi, Galaxy, Blockchain Capital и тд. 1️⃣ Забираем тестовые токены 2️⃣ Переходим на сайт 3️⃣ Проходим викторину 4️⃣ Забираем NFT
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👀 Новый проект по сбору поинтов Coresky Итинвестировали в проект 21 млн$, где 6 млн в 23году, и вот 25 марта этого года ещё 15 млн$. 1️⃣ Переходим на сайт 2️⃣ Коннектим EVM кошелек 3️⃣ Ежедневный Check-in 4️⃣ Голосуем за меме токены 5️⃣ Жмем на баннер, и там можем крутить спин Сейчас у нас есть возможность зарабатывать Coresky поинты.
👀 Новый проект по сбору поинтов Billions Network Billions — первая сеть, объединяющая людей и искусственный интеллект, построенная на мобильной верификации для масштабирования Интернета ценностей. 1️⃣ Переходим на сайт 2️⃣ Входим через гугл акк 3️⃣ Выполняем задания 4️⃣ Выполняем ежедневный бесплатный Check-in Запустили компанию по сбору поинтов. Выполняем задания, собираем поинты, поднимаем уровень.
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⚠️ Evosim заколабились с OKX Пост о проекте был 👉ТУТ OKX и EVOSIM GAME запускают захватывающую кампанию с призовым фондом $50 000 Полные условия ищите в разделе «Tasks» в мини-приложении. ЗАЙТИ В БОТА 🔺 Навигация по проектам #EvoSim
Showing the 12 most recent of 20 posts we hold for @crypto_forest4. 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.
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.
@crypto_forest4 named 3 handles 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.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
References a handle that is not a live channel — we have no record it ever was one.
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 31 October 2026 — this entry's latest reading, not the date you are reading this.
“Crypto Forest” (@crypto_forest4), 931 subscribers as measured 31 October 2026. Telegram Register, tgregister.com/channel/crypto_forest4.
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.