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Channel

上海-江苏-浙江-福建资源

@dongbu6699

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

91subscribers

+1 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003182182568
TypeChannel
Username@dongbu6699
Created21 October 2025measured — dated from the channel’s first post
First recorded9 August 2026
Last confirmed live28 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 28 August 2026
On Telegramt.me/dongbu6699

Growth

8991907 August 2026 — 90 subscribers9 August 2026 — 90 subscribers14 August 2026 — 89 subscribers21 August 2026 — 90 subscribers28 August 2026 — 91 subscribers7 August 202628 August 2026
5 measurements spanning 21 days, net +1. 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 89–91 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
28 Aug 2026, 09:0291+1
21 Aug 2026, 18:0990+1
14 Aug 2026, 07:3489-1
9 Aug 2026, 14:3290no change
7 Aug 2026, 16:1890first reading

Engagement

6 posts held, back to 21 October 2025the 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.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 6 posts for this entry, the most recent from 22 October 2025. An engagement rate over an empty window would be a number about nothing.

Reaction mix

4 reactions across 2 posts, in 2 distinct kinds. The most used accounts for 75.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
375.0%
👎125.0%

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 2 of the 6 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 4reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 6 most recent posts we hold, published 21 October 2025 to 22 October 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.

Recent posts

22 Oct 2025, 00:01 UTC≈1,820 views2 reactionsread 9 August 2026

———————————————— 🔻福建🔻 福州840 https://t.me/fuzhouuu654 厦门580 https://t.me/xiaaaamen6 莆田320 https://t.me/+DMsKjZ_T2TNhYWE1 三明240 https://t.me/+mCgfpUevsMVlOWU1 泉州880 https://t.me/quanzhou9966 漳州500 https://t.me/+0HgjoCQRu_c1YTRl 南平260 https://t.me/+3VKn5kslmKRjODc1 龙岩270 https://t.me/+-5yZgfyMzSg2Yjll 宁德310 https://t.me/+qzOxOZoRAAxhYmJl 🔺福建🔺 ———————————————— ●全国资源:@gx123456789 ● ●全国

1👎1

22 Oct 2025, 00:00 UTC≈1,840 views2 reactionsread 9 August 2026

———————————————— 🔻浙江🔻 杭州1250 https://t.me/hangz123456 宁波970 https://t.me/ningbo548721 温州980 https://t.me/wenzhou5412 嘉兴560 https://t.me/jiaxingg85494 湖州340 https://t.me/huzhouou8572 绍兴540 https://t.me/shaoxin968574 金华720 https://t.me/jinhua543218 义乌–东阳290 https://t.me/+li_Ms2ZQwMFjNWI1 衢州230 https://t.me/+BtTZQGJ5Dk1lZTY1 舟山120 https://t.me/+2x_xebbnudhiZjI1 台州670 https://t.me/tazhou54872 丽水250 htt

2

22 Oct 2025, 00:00 UTC≈1,510 viewsread 9 August 2026

———————————————— 🔻江苏🔻 南京950 https://t.me/nanjing3322 苏州1290 https://t.me/susuzhou578 无锡750 https://t.me/+cNcomuadMBplZGY1 常州540 https://t.me/+z2ruKmOIg14wOGVl 南通770 https://t.me/nantong65432 徐州900 https://t.me/+GMGiG9-idtViNzk1 扬州460 https://t.me/+YDZp-GZBgsQ4Mzdl 泰州450 https://t.me/+EHuAT53XDBo1MGNl 盐城670 https://t.me/+acWvSjaro1w0YjNl 镇江320 https://t.me/+VaL9vl4GvipiY2E1 淮安450 https://t.me/+P9bb2n

22 Oct 2025, 00:00 UTC≈1,150 viewsread 9 August 2026

———————————————— 🔻上海🔻 上海2480:@shanghai65432 ————————————————

Showing the 6 most recent of 6 posts we hold for @dongbu6699. 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 — 306,936 of 1,627,068entries 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 28 August 2026 — this entry's latest reading, not the date you are reading this.

“上海-江苏-浙江-福建资源” (@dongbu6699), 91 subscribers as measured 28 August 2026. Telegram Register, tgregister.com/channel/dongbu6699.

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.