Telegram RegisterThe public register of Telegram

Channel

NFT典藏礼物-资讯 · @NFT999

@nft999

2 usernames

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

3,599subscribers

-13 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1003230804620
TypeChannel
Usernames@diancangliwu @nft999
CreatedBetween 1 October 2025 and 31 December 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/nft999

Growth

3,5993,6123,605.57 August 2026 — 3,612 subscribers8 August 2026 — 3,611 subscribers8 August 2026 — 3,611 subscribers8 August 2026 — 3,611 subscribers9 August 2026 — 3,609 subscribers11 August 2026 — 3,601 subscribers12 August 2026 — 3,599 subscribers7 August 202612 August 2026
7 measurements spanning 5 days, net -13. 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 3,597–3,614 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 11:073,599-2
11 Aug 2026, 03:133,601-8
9 Aug 2026, 09:513,609-2
8 Aug 2026, 12:343,611no change
8 Aug 2026, 11:003,611no change
8 Aug 2026, 10:503,611-1
7 Aug 2026, 19:023,612first reading

Engagement

18 posts held, back to 11 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
20.7%
avg views ÷ 3,599 subscribers
Avg views / post
745
15 posts measured
Reaction rate
0.817%
reactions ÷ views · ER floor
Posts in window
15
of 18 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. It is computed over the 8 of 15 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 4 August 2026
Posts held18 (11 July 20264 August 2026)
Views total11,172
Reactions total53
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 11:00 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.

Reaction mix

84 reactions across 10 posts, in 4 distinct kinds. The most used accounts for 72.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 49765669836936995956172.6%
custom 49765360728140690782023.8%
👍22.38%
11.19%

Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.

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 11 of the 18 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 84reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 11 July 2026 to 4 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 18 we hold a reading for · 6%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @nft999. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 18 most recent posts we hold for this entry, published 11 July 2026 to 4 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

4 Aug 2026, 09:50 UTC631 viewsread 8 August 2026
Photo

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3 Aug 2026, 13:55 UTC408 viewsread 8 August 2026
Photo

✨感谢大哥拿下5个彩虹系列紫色背景礼物!! 🌟🌟🌟🌟💎 喜欢同款的可以咨询: @xxx77 —————————————————— 💲开会员租能量换TRX自助下单机器人: @xxxzzxd_bot ✔️全球TG号铺:@TGhp8bot 🆔挑选用户名: @dcyhm

28 Jul 2026, 08:08 UTC≈1,090 viewsread 8 August 2026
Photo

☺️ 杜罗夫眼镜准备佩戴了吗? Telegram创始人:帕维尔·杜罗夫 在他的个人资料中设置了 Neo款式的眼镜 在他的频道中设置了黑底 Vegas Trip款式的眼镜 ps:新礼物杜罗夫的眼镜 有喜欢的可以下单了~

28 Jul 2026, 07:17 UTC588 viewsread 8 August 2026
Photo

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27 Jul 2026, 09:49 UTC909 views11 reactionsread 8 August 2026
Photo

⭐️+888 0105 0505 2026/07/27 成交价:16,719 美金💎 ☺️+888号码买/卖/租/代收代购点击联系 你觉得这价格值吗 —— 1️⃣ - 值 1️⃣ - 不值

custom 49765669836936995958custom 49765360728140690782👍1

27 Jul 2026, 05:23 UTC742 viewsread 8 August 2026
Forwarded from @wwwOK6UcomPhoto

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26 Jul 2026, 07:29 UTC866 viewsread 8 August 2026
Photo

🎁近期成交FTN礼物 • Plush Pepe 系列: 🐸#1737编号 翡翠帝王绿 背景同色 💎 29,056 🐸#2031荧光粉💎 17,382 🐸#67编号地板模型 💎7,211 • 其他高价值系列: 🎁#70478 新礼物黑底黑色自由女神 💎180 🎁#4456特朗普黑底模型 💎1,639 🌟#2801黑色黑底猫咪💎2,145 🌟#20331灰黑底大金劳💎906 🌟#23684灰黑底大金劳💎924

24 Jul 2026, 07:05 UTC878 views5 reactionsread 8 August 2026

⭐️顶级号码🐸pepe月租中~ 欢迎下单 🪙 +888 8 566 🪙 +888 8 025 🪙 +888 0707 7777 🪙 +888 0177 7777 🪙 +888 0800 8880 🪙 +888 0888 1688 🪙 +888 0077 0088 🪙 +888 0888 0013 🪙 +888 0808 0830 🪙 +888 0876 0876 🪙 +888 0011 0044 🪙 +888 0776 5432 🪙 +888 0724 0724 🪙 +888 0654 0654 🪙 +888 0934 0934 🪙 +888 0099 6996 🪙 +888 0246 0246 🪙 +888 0550 6969 🪙 +888 0191 0191 🏷 +888 0085 1337 🏷 +888 0128 0256 🏷 +888 0639 0936 🏷 +888 0101 2025 🏷 +888 0010 11

custom 49765669836936995954custom 49765360728140690781

24 Jul 2026, 06:42 UTC651 views13 reactionsread 8 August 2026
Photo

⭐️+888 0133 7000 2026/07/24 成交价:22,536 美金💎 这个号,说实话 个人觉得有点大冤种了😂 你觉得这价格值吗 —— 1️⃣ - 值 1️⃣ - 不值

custom 497656698369369959512custom 49765360728140690781

24 Jul 2026, 06:42 UTC360 viewsread 8 August 2026
Forwarded from @wwwOK6UcomPhoto

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22 Jul 2026, 08:41 UTC761 views5 reactions1 Starread 8 August 2026
Photo

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custom 497656698369369959521👍1custom 49765360728140690781

22 Jul 2026, 08:21 UTC731 views7 reactionsread 8 August 2026
Photo

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custom 49765669836936995956custom 49765360728140690781

Showing the 12 most recent of 18 posts we hold for @nft999. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Citation-graph rank

Citation-graph rank — 590,676 of 1,176,251entries 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.

Forward network

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.

Mentions

Named by 3 registered channels — 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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“NFT典藏礼物-资讯 · @NFT999” (@nft999), 3,599 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/nft999.

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.