Channel
@eaglenet1776
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
1,368subscribers
+32 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002296985873 |
|---|---|
| Type | Channel |
| Username | @eaglenet1776 |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 13 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/eaglenet1776 |
Other / unclassifiable — 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 17 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 22:19 | 1,368 | +4 |
| 9 Sept 2026, 11:18 | 1,364 | +5 |
| 4 Sept 2026, 07:57 | 1,359 | +1 |
| 31 Aug 2026, 15:35 | 1,358 | -4 |
| 28 Aug 2026, 19:35 | 1,362 | +3 |
| 25 Aug 2026, 19:26 | 1,359 | +3 |
| 23 Aug 2026, 00:06 | 1,356 | +2 |
| 19 Aug 2026, 23:43 | 1,354 | +6 |
| 16 Aug 2026, 20:16 | 1,348 | +7 |
| 13 Aug 2026, 15:58 | 1,341 | +1 |
| 10 Aug 2026, 16:54 | 1,340 | +4 |
| 7 Aug 2026, 22:23 | 1,336 | no change |
| 7 Aug 2026, 18:35 | 1,336 | first reading |
20 posts held, back to 30 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 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 1 August 2026. An engagement rate over an empty window would be a number about nothing.
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.
13 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 92.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 12 | 92.3% | |
| ❤ | 1 | 7.69% |
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 7 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 13 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 30 June 2026 to 1 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.
💡AI 新聞 Health Ranger Report 7月31日 BVN, July 31, 2026 - U.S. Military DEFEATED, Fauci SHAMED, and Truth-Tellers VINDICATED 💡AI 將協助您快速理解影片內容，節省翻譯時間，讓閱讀國外新聞更加輕鬆。 點擊👉 https://www.teslabook.me/Health-Ranger-Report 點擊👉 https://www.teslabook.me/Health-Ranger-Report telegram 社群： t.me/teslabookai
Signed roger kuo
目前追了這些新聞頻道 https://rumble.com/c/HealthRangerReport?e9s=src_v1_cmd https://rumble.com/user/DrJaneRubyShow/videos?e9s=src_v1_cmd https://rumble.com/c/StewPeters/videos?e9s=src_v1_cmd https://rumble.com/c/X22Report/livestreams?e9s=src_v1_cbls https://www.brighteon.com/channels/maninamerica/home
Signed roger kuo
目前新增了一個專門追蹤熱門國際新聞的頻道。雖然影片本身尚未提供中文翻譯，但您可以直接透過 AI 與影片內容互動，詢問重點、名詞或任何想了解的地方，包跨時間點, 快速掌握影片在說什麼，也能省下自行翻譯的時間。如果採用這樣的方式製作，每一則新聞大約只需要花費 3 分鐘左右的時間。 未來也會持續加入更多優質的新聞頻道，希望讓大家更方便接觸來自世界各地的重要資訊。🌍 如果您有任何想法、建議，或希望增加的內容，也歡迎加入我們的 Telegram 社群：t.me/teslabookai 與大家一起交流。
Signed roger kuo
Sticker, posted without a caption
Signed roger kuo
Photo, posted without a caption
👍1
Signed roger kuo
點開後就會進入這個畫面。😊 如果想尋找目前網站上的文章，只要直接輸入想搜尋的內容或問題即可。如果一時不知道該問什麼，也可以點選上方提供的 Random 問題，系統會自動帶入範例，你只需要點擊感興趣的問題，就能開始體驗囉！ 那我問的問題是911
Signed roger kuo
點開後會看到以下圖片
Signed roger kuo
目前先放了一個簡單的小助理在網頁右下方，底部會有一排文字持續顯示並輪播訊息。它目前的主要用途是方便大家快速尋找文章，之後會再依照使用情況持續優化與調整。😊
👍1
Signed roger kuo
我想補充一下我的實際使用情境。我正在建立一個 Tesla 知識資料庫，而因為內容量非常龐大，因為把影片的一字一句都放在知識庫, 所以 RAG（Retrieval-Augmented Generation，檢索增強生成）的處理過程需要分析大量資料。在這種情況下，Credits 的消耗速度會快速增加。 目前我遇到最大的挑戰是，不同 AI 模型之間的成本差異非常大，而當處理大型知識庫時，目前的 Credits 計算模式會變得比較難預測與管理。 像我的使用案例，需要 AI 頻繁從大量資料庫中檢索資訊並生成回答，因此 Credits 使用量很容易變得不穩定。 我也嘗試使用免費 AI 模型來降低成本，但遇到了另一個問題：當使用免費模型處理較大型的 RAG 工作負載時，系統有時會變得不穩定，甚至發生 Crash 的情況。這讓建立一個可靠的大型知識庫 AI 助理變得比較困難。 目前我遇到的主要瓶頸包括： ⚡️大型 RAG 知識庫檢索會…
👍2
Signed roger kuo
Photo, posted without a caption
Signed roger kuo
Photo, posted without a caption
Signed roger kuo
Photo, posted without a caption
Signed roger kuo
Showing the 12 most recent of 20 posts we hold for @eaglenet1776. 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.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“尼古拉特斯拉圖書館🐇” (@eaglenet1776), 1,368 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/eaglenet1776.
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.