Telegram RegisterThe public register of Telegram
Telegram profile photo for I分享『供需频道』

Channel

I分享『供需频道』

@ifx_gx

On this record: Topic · Growth · Engagement · Reactions · Stars · Posts · Citations · Handles named that no longer answer · Cite this entry

17,893subscribers

+17,855 since we began measuring on 16 October 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1004306925534
TypeChannel
Username@ifx_gx
Created16 October 2026 — measured — dated from the channel’s first post
First recorded16 October 2026
Last confirmed live9 November 2026
Measurements held14
Confirmed unchanged1 time, most recently 9 November 2026
On Telegramt.me/ifx_gx

Topic

Hacking & security — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 2 November 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.

Growth

3817,8938,965.516 October 2026 — 38 subscribers16 October 2026 — 38 subscribers16 October 2026 — 89 subscribers24 October 2026 — 6,428 subscribers26 October 2026 — 6,491 subscribers30 October 2026 — 6,559 subscribers2 November 2026 — 17,620 subscribers3 November 2026 — 17,645 subscribers4 November 2026 — 17,670 subscribers4 November 2026 — 17,712 subscribers5 November 2026 — 17,758 subscribers6 November 2026 — 17,815 subscribers8 November 2026 — 17,864 subscribers9 November 2026 — 17,893 subscribers16 October 20269 November 2026
14 measurements spanning 24 days, net +17,855. 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”.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Nov 2026, 10:4017,893+29
8 Nov 2026, 02:5717,864+49
6 Nov 2026, 22:1617,815+57
5 Nov 2026, 21:3017,758+46
4 Nov 2026, 21:5617,712+42
4 Nov 2026, 00:2717,670+25
3 Nov 2026, 01:0517,645+25
2 Nov 2026, 04:3017,620+11,061
30 Oct 2026, 08:576,559+68
26 Oct 2026, 23:166,491+63
24 Oct 2026, 06:216,428+6,339
16 Oct 2026, 17:1589+51
16 Oct 2026, 13:2238no change
16 Oct 2026, 12:4738first reading

Engagement

90 posts held, back to 16 October 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 14 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.49%
avg views ÷ 17,893 subscribers
Avg views / post
1,520
89 posts measured
Reaction rate
0.134%
reactions ÷ views · ER floor
Posts in window
90
of 90 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 49 of 89 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 9 November 2026
Posts held90 (16 October 2026 – 9 November 2026)
Views total135,215
Reactions total105
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Nov 2026, 04:17 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

105 reactions across 49 posts, in 12 distinct kinds. The most used accounts for 41.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍4341.0%
❤2422.9%
🤣2019.0%
🤡54.76%
👎32.86%
💩32.86%
🎉21.90%
👏10.952%
🔥10.952%
😍10.952%
🤮10.952%
🫡10.952%

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 49 of the 90 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 105 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 90 most recent posts we hold, published 16 October 2026 to 9 November 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 89 we hold a reading for · 1%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ifx_gx. 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 90 most recent posts we hold for this entry, published 16 October 2026 to 9 November 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

Telegram’s own ‘edited’ marker: 1 of 90 posts held from the last 30 days (1.11%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

9 Nov 2026, 00:19 UTC≈1,580 views1 reactionsread 9 November 2026
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🤮1

8 Nov 2026, 16:12 UTC≈1,590 views1 reactionsread 9 November 2026
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📣i分享供需广告咨询来了! 交强险名下车:4U 个人名下保险:4U 文字婚姻:3U 民政婚姻:6U 联通机主: 6U 名下公司:2U 真地址个户:8U 车牌5项:0.5U(机器人全天自动回单) 三网名下号:15U 报单机器人: @hui520gay 官方客服: @hui520ovo 官方频道: @SVIP520VIP 官方群聊: @VIP520SVIP 人民币充值汇率1:7.5 支持的付款方式:🌟💰❤️❤️ 邀请好友赚钱: 在 @hui520gay 获取邀请链接发送给好友,好友报单了即可获得10%分成,满1u就可以提现! 发布者 @hui520ovo 思路分享 交流群组 思路投稿 供需频道

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8 Nov 2026, 14:04 UTC≈1,740 viewsread 9 November 2026
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8 Nov 2026, 13:38 UTC≈1,750 views1 reactionsread 9 November 2026
Photo

📣i分享供需广告咨询来了! 业务单 1.脚本编写/逆向/工具(包括软件 模块等) (价格看难的程度) 2.TG机器人搭建 (难以程度定制) 3.网站定制 (价格私信了解详细) 4.渗透服务 (价格看网站难度) 5.APK逆向开源 (价格看难度) 6.API代码编辑 (价格是1个=1U) 7.各种网页小程序逆向 (看难以程度) 8.代码加密解密 (价格看看难度) 9.数据清洗 (无论复杂程度 价格看数据量和复杂程度) 10.拜师 (详细了解私信) 以上任何业务联系唯一用户名 @HSGQS520 发布者 @SGS5201314 思路分享 交流群组 思路投稿 供需频道

👍1

8 Nov 2026, 12:16 UTC≈1,780 views4 reactionsread 9 November 2026
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8 Nov 2026, 10:22 UTC≈1,730 views3 reactionsread 9 November 2026
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8 Nov 2026, 10:06 UTC≈1,680 viewsread 9 November 2026
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8 Nov 2026, 08:10 UTC≈1,640 viewsread 9 November 2026
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8 Nov 2026, 08:01 UTC≈1,660 viewsread 9 November 2026
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8 Nov 2026, 06:56 UTC≈1,700 viewsread 9 November 2026

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8 Nov 2026, 06:17 UTC≈1,690 views1 reactionsread 9 November 2026

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8 Nov 2026, 05:52 UTC≈1,690 views1 reactionsread 9 November 2026
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👍1

Showing the 12 most recent of 90 posts we hold for @ifx_gx. 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.

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 9 November 2026 — this entry's latest reading, not the date you are reading this.

“I分享『供需频道』” (@ifx_gx), 17,893 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/ifx_gx.

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.