Channel
@ResilioSync
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
3,276subscribers
+2 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001452905830 |
|---|---|
| Type | Channel |
| Username | @ResilioSync |
| Created | Between 1 April 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/ResilioSync |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 13:54 | 3,276 | -2 |
| 11 Aug 2026, 07:11 | 3,278 | +2 |
| 8 Aug 2026, 09:11 | 3,276 | +2 |
| 7 Aug 2026, 09:16 | 3,274 | first reading |
16 posts held, back to 29 July 2022 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pagesof 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 16 posts for this entry, the most recent from 25 June 2025. An engagement rate over an empty window would be a number about nothing.
419 reactions across 16 posts, in 18 distinct kinds. The most used accounts for 32.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 138 | 32.9% | |
| ❤ | 119 | 28.4% | |
| 😢 | 39 | 9.31% | |
| 😱 | 37 | 8.83% | |
| 👏 | 27 | 6.44% | |
| 🎉 | 10 | 2.39% | |
| 🔥 | 10 | 2.39% | |
| 🥰 | 9 | 2.15% | |
| 🤬 | 7 | 1.67% | |
| 👌 | 6 | 1.43% | |
| 😁 | 3 | 0.716% | |
| 🤔 | 3 | 0.716% | |
| 🤣 | 3 | 0.716% | |
| 🍾 | 2 | 0.477% | |
| 👎 | 2 | 0.477% | |
| 🤝 | 2 | 0.477% | |
| 🙏 | 1 | 0.239% | |
| 🥴 | 1 | 0.239% |
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 16 of the 16 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 419reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 29 July 2022 to 25 June 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
由一只忙碌的蜜蜂🐝引发的思考： 1. 经济结构与分配不均： • 资本主导： 现代经济体系中，资本往往占据主导地位。资本所有者（如企业主、股东）通过投资和 控制生产资料，获取大部分利润。而劳动者（“工蜂”）主要依靠出卖劳动力获取工资， 在利润分配中处于相对弱势地位。 • 技术进步与自动化： 自动化和人工智能的发展，在提高生产效率的同时，也可能导致劳动力需求下降，加剧 就业竞争，压低工资水平。 • 垄断与寻租： 少数企业或个人可能通过垄断资源、权力寻租等方式，获取超额利润，进一步拉大贫富 差距。 • 全球化竞争： 全球化背景下，企业为了降低成本，可能会将生产转移到劳动力成本更低的地区，导致 发达国家工人面临更大的竞争压力，工资增长受限。 2. 教育与技能的局限性： • 教育资源不均： 不同社会阶层的人所能获得的教育资源存在差异。优质教育可以提升个人技能和竞…
👍13❤10👌6🥴1
Sticker, posted without a caption
❤16🔥1
Sticker, posted without a caption
😱37👍4🥰4❤1
Happy New Year 🎊🎆🎈
👍38🎉10❤5👏3🤝2
https://archlinuxstudio.github.io/ModernSecurityProtectionGuide/
❤12👍5🔥2
Sticker, posted without a caption
❤19👍5👏1🔥1
“编程随想”起诉书全文。
❤19👍5👏1
关于 “编程随想” 案 —— 首先感谢所有传递信息的朋友。 我们认为目前最值得关注的是此案的判决书 —— 判决书中是否指认了被告的身份为 “博主编程随想”？是如何指认的？ 尤其是：此案的刑侦过程，将对未来的前线工作者数字安全防御部署策略的更新，具有重要的指导作用。 目前为止，我看到的相关信息很可能并不比您多。是的，这里有很多信息空白，以至于难以形成逻辑链。 网络上流传的追踪/去匿名化过程和细节 - 对于“编程随想”在数字安全方面的专业性水平来说 - 居然如此简陋，是令人震惊的和不可思议的。 当然，在此可以做出各种假设，但正因为全部是假设，我觉得可以省略了。 我们现在需要证据。 📌 不论如何，此案的刑侦过程，对反抗前线未来的安防工作部署，可能具有非常重要的意义！揭示这一刑侦过程 - 提供充分证据 - 是中国记者的职责。 我们将继续关注。
👍12❤6
编程随想似乎有消息了，颠覆，然后被判入狱7年😨
😢21🤬7🤣3👍1😁1🙏1
朋友们新春快乐，阖家幸福，身体健康，🐰飞猛进～！🎉
❤21👍5🔥3🥰2
https://telegra.ph/%E5%91%8A%E5%88%AB%E4%BF%A1-10-02 看到mouseinc作者的告别信，想起曾经发的这个Key,原来自己与被跨省只有一步只遥，所幸我是发在channel
😢18👍8❤4🥰3🍾2👎2🔥2👏1
大多數中國民眾對國家機器與科技巨頭合力實施的大規模監控所知甚少，對個人信息的去向漠不關心，再加上百度等無良企業「用隱私換取便利、安全」的反智宣傳，使得整個國家在數字極權主義的邪路上越走越遠。通過封鎖、審查、禁聲、灌輸多管齊下，以軟硬手段相結合的方式推動洗腦政策與信息時代相適應，試圖把中國人打造成閉目塞聽、頭腦簡單、思想與黨中央高度一致的木頭人。😱
👏14👍12❤2🔥1
Showing the 12 most recent of 16 posts we hold for @ResilioSync. 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 — 1,447,063 of 1,480,688entries 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.
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.
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.
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 August 2026 — this entry's latest reading, not the date you are reading this.
“Resilio Sync” (@ResilioSync), 3,276 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/ResilioSync.
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.