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Channel

资源分享 - 软件|网站|工具|破解

@LCGFX

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry

91,413subscribers

+1,956 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001689123047
TypeChannel
Username@LCGFX
Description分享免费资源,实用软件、开源项目、网站工具。 📢 广告投放: @CXXPQ 📮 投稿私信: @SXJQR_BOT 💬 交流群组: @ZYSHARES
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/LCGFX

Topic

Software piracy — a classification, not a measurement. 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.

Growth

89,45791,41390,4356 August 2026 — 89,457 subscribers6 August 2026 — 89,477 subscribers7 August 2026 — 89,485 subscribers8 August 2026 — 89,494 subscribers9 August 2026 — 89,520 subscribers10 August 2026 — 89,538 subscribers11 August 2026 — 89,550 subscribers12 August 2026 — 89,544 subscribers13 August 2026 — 89,550 subscribers14 August 2026 — 89,583 subscribers16 August 2026 — 89,796 subscribers17 August 2026 — 89,904 subscribers18 August 2026 — 89,993 subscribers19 August 2026 — 90,060 subscribers20 August 2026 — 90,132 subscribers21 August 2026 — 90,178 subscribers23 August 2026 — 90,263 subscribers25 August 2026 — 90,311 subscribers26 August 2026 — 90,355 subscribers26 August 2026 — 90,412 subscribers28 August 2026 — 90,444 subscribers28 August 2026 — 90,463 subscribers29 August 2026 — 90,491 subscribers30 August 2026 — 90,550 subscribers1 September 2026 — 90,640 subscribers2 September 2026 — 90,685 subscribers3 September 2026 — 90,738 subscribers4 September 2026 — 90,859 subscribers7 September 2026 — 91,097 subscribers10 September 2026 — 91,223 subscribers12 September 2026 — 91,271 subscribers14 September 2026 — 91,318 subscribers16 September 2026 — 91,361 subscribers18 September 2026 — 91,413 subscribers6 August 202618 September 2026
34 measurements spanning 43 days, net +1,956. 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 89,164–91,706 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
18 Sept 2026, 04:5791,413+52
16 Sept 2026, 02:0091,361+43
14 Sept 2026, 07:1691,318+47
12 Sept 2026, 14:0091,271+48
10 Sept 2026, 11:1691,223+126
7 Sept 2026, 07:1691,097+238
4 Sept 2026, 16:2190,859+121
3 Sept 2026, 02:1590,738+53
2 Sept 2026, 03:1390,685+45
1 Sept 2026, 01:2790,640+90
30 Aug 2026, 22:0790,550+59
29 Aug 2026, 21:1490,491+28
28 Aug 2026, 21:5490,463+19
28 Aug 2026, 00:0490,444+32
26 Aug 2026, 22:0790,412+57
26 Aug 2026, 01:3390,355+44
25 Aug 2026, 02:3390,311+48
23 Aug 2026, 13:5590,263+85
21 Aug 2026, 20:5890,178+46
20 Aug 2026, 15:5890,132first reading

Engagement

379 posts held, back to 27 July 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 114 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.01%
avg views ÷ 91,413 subscribers
Avg views / post
1,830
228 posts measured
Reaction rate
0.158%
reactions ÷ views · ER floor
Posts in window
228
of 379 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 147 of 228 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 26 September 2026
Posts held379 (27 July 2026 – 26 September 2026)
Views total418,021
Reactions total445
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken26 Sept 2026, 17:34 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.

What this channel posts

Photos
≈3,640
Videos
≈157
Links
≈3,800

Lifetime counters from Telegram’s own channel header, read 26 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
27m 56s
Average length
21s

Measured directly from 80 videos 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.

Reaction mix

694 reactions across 221 posts, in 5 distinct kinds. The most used accounts for 53.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍37253.6%
❤31144.8%
👎50.72%
❤‍🔥30.432%
🔥30.432%

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 233 of the 379 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 694 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 379 most recent posts we hold, published 27 July 2026 to 26 September 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
3
across the posts below
Posts paid on
3
of 379 we hold a reading for · 0.8%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @LCGFX. 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 379 most recent posts we hold for this entry, published 27 July 2026 to 26 September 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

26 Sept 2026, 04:03 UTC≈1,560 views8 reactionsread 26 September 2026
Photo

#优质频道推荐 💻 破解类 ◉ 284K 破解软件分享-百科全书 ◉ 95K 安卓破解软件精选 ⌨️ 综合类 ◉ 260K 黑科技软件资源分享 ◉ 166K APP喵 - 破解软件资源 ◉ 100K 软件工具精选推荐 ◉ 91K 资源分享 - 软件|网站|工具 ◉ 90K 油油の科技软件资源分享 ◉ 88K 胖虎の收藏夹 ◉ 85K TG小树屋|资源&代理分享 ☺️ 苹果类 ◉ 96K 破解软件资源分享 ◉ 61K iOS巨魔破解软件分享 ◉ 50K iOS优质应用 🔎 其他类 ◉ 131K 电子书/听书/期刊/课程资源 ◉ 106K 频道索引&推荐 ◉ 48K 电影资源频道(4K、REMUXE/原盘)

❤4👍4

26 Sept 2026, 02:45 UTC≈1,640 views4 reactionsread 26 September 2026
Photo

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❤3👍1

26 Sept 2026, 02:40 UTC≈1,530 viewsread 26 September 2026
Photo

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26 Sept 2026, 02:35 UTC≈1,450 viewsread 26 September 2026
Photo

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26 Sept 2026, 02:30 UTC≈1,330 viewsread 26 September 2026
Photo

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26 Sept 2026, 02:25 UTC≈1,230 viewsread 26 September 2026
Photo

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26 Sept 2026, 02:20 UTC≈1,100 views4 reactionsread 26 September 2026
Photo

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👍3❤1

26 Sept 2026, 02:15 UTC≈1,050 views4 reactionsread 26 September 2026
Photo

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👍3❤1

26 Sept 2026, 02:10 UTC≈1,030 views5 reactionsread 26 September 2026
Photo

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👍4❤1

26 Sept 2026, 02:05 UTC≈1,010 views4 reactionsread 26 September 2026
Photo

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👍3❤1

26 Sept 2026, 02:04 UTC958 views4 reactionsread 26 September 2026
Photo

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👍3❤1

26 Sept 2026, 01:59 UTC918 views2 reactionsread 26 September 2026
Photo

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👍2

Showing the 12 most recent of 379 posts we hold for @LCGFX. 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.

Posts edited after publishing

@LCGFX edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
12 September 2026
Most recent edit
12 September 2026

Forward network

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 25 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“资源分享 - 软件|网站|工具|破解” (@LCGFX), 91,413 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/LCGFX.

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.