Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 81% 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 why it has no browse page of its own yet.
Growth
35 measurements spanning 48 days, net -346. 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 18,118–18,589 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
24 Sept 2026, 21:55
18,172
-50
18 Sept 2026, 17:59
18,222
-31
16 Sept 2026, 08:40
18,253
-3
14 Sept 2026, 17:40
18,256
-9
13 Sept 2026, 06:16
18,265
-10
11 Sept 2026, 07:42
18,275
-27
8 Sept 2026, 12:00
18,302
-39
5 Sept 2026, 08:57
18,341
-10
3 Sept 2026, 14:58
18,351
-10
2 Sept 2026, 07:06
18,361
-12
1 Sept 2026, 07:27
18,373
-12
31 Aug 2026, 05:02
18,385
-12
30 Aug 2026, 02:56
18,397
-11
29 Aug 2026, 03:48
18,408
-12
28 Aug 2026, 03:56
18,420
+1
27 Aug 2026, 01:44
18,419
-2
26 Aug 2026, 00:33
18,421
-1
24 Aug 2026, 23:16
18,422
-12
23 Aug 2026, 10:56
18,434
-7
21 Aug 2026, 18:48
18,441
first reading
Engagement
21 posts held, back to 4 January 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 54 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.62%
avg views ÷ 18,172 subscribers
Avg views / post
658
1 post measured
Reaction rate
4.41%
reactions ÷ views · ER floor
Posts in window
1
of 21 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 2 September 2026
Posts held
21 (4 January 2026 – 2 September 2026)
Views total
658
Reactions total
29
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 08:53 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
594 reactions across 21 posts, in 16 distinct kinds. The most used accounts for 35.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
211
35.5%
🔥
152
25.6%
👍
123
20.7%
⚡
32
5.39%
👏
24
4.04%
❤🔥
21
3.54%
🤯
7
1.18%
👌
5
0.842%
👎
5
0.842%
🤣
4
0.673%
💔
3
0.505%
🆒
2
0.337%
🥰
2
0.337%
💋
1
0.168%
😍
1
0.168%
😱
1
0.168%
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 21 of the 21 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 594 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 4 January 2026 to 2 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.
@TGMediaManagerbot
A bot that can count how much data a channel holds, categorised results.
Mediainfo Function, Screenshot (in progress)
The main purpose is to test how many bot can be hosted in a small server using go language as python idle was around 120+ MB just for this small while the go is doing the same thing in 7-15 MB.
If u encounter any issues do let me know in the comments, i have error logging so i w…
To keep Free Servers, Sites available. We need your help.
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1. https://github.com/PBhadoo/Rapidleech
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4. https://github.com/PBhadoo/WASSaver-Android
5. https://github.com/PBhadoo/tg-ws-api
…
NSFW Project is live.....
https://encodedfapfiles.pages.dev/
Read instructions before u proceed 👇
https://t.me/encodedfapfiles/4
Any issue chat here 👇
@encodedfapfilesdiscussion
Fixed the permission issue with helparchive command & str object not found issue , everything should work smoothly.
Remember to add the bot @LinkerXHelperbot to your channel as admin and run
/setup command if u wanna use the channel for ur self to generate links
/helparchive command if u wanna donate the channel to help the liquidx project
The more channels we get as a donation, the better we can serve.
LinkerXHelperbot is paused, i will fix the remaining issue and notify. I will need some time to do so as i am currently hurled up in my personal issues.
only 64 channels we have. and file load is very high.
please provide 5 channel each and make it reach more than a 1000.
this will help sustain the TGArchive Project as well.
Consider this urgent.
DO this.
1. Create A New Channel
2. Add the @LinkerXHelperbot bot there as admin with all permission.
3. Run /helparchive command
4. After it is completed u can just leave the channel , we recommend this to ensure accoun…
Aslo keep in mind that You cannot use the same channel for setup command and helparchive command, they both need seperate channel. You still have any question you can drop comment
Current Status -
LinkerX Service Channels - 1000+
Channel Donated - 64 (Updated 01:00PM -21/01/2026)
This will be updated periodically.
Remember
Run /setup command if u wanna setup that channel for personal use for generating links
…
Ok , we have configured the bot to help with the archive system, where users can donate channels without being bombarded with files.
Steps 👇
1. Create A New Channel
2. Add the @LinkerXHelperbot bot there as admin with all permission.
3. Run /helparchive command
4. After it is completed u can just leave the channel , we recommend this to ensure account safety. Just open all chats and select that channel by long pres…
Have Parted Ways With Inside Ads Today, Initially Their Ads Were Simple Channel, Travel Channel, Self Improvement Channel, But They Switched To Straight Up Scam Channel Promotion, Channel That Are Doing 'Asking User To Perform Task Earn Money ' Promotion. (The Most Known Scam In India)
We Had High Hopes For Them , But The Experience Has Become Bitter. Also We Chose Them Because Telegram Refused Verify Our Account, …
🔥35⚡10❤6
Showing the 12 most recent of 21 posts we hold for @liquidxprojects. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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
Names
Channels on the register whose handles appear in this channel's posts.
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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
ശ്രീമാധവ് യു കെ @SpEcHlDe · 89,090 Telegram ranks this channel #1 of 22 here — alongside 21 others — read 20 August 2026
Ordo Nexus @nexus_search · 66,581 Telegram ranks this channel #10 of 74 here — alongside 73 others — read 22 August 2026
iPapkorn @iPapkorn · 1,881,707 Telegram ranks this channel #12 of 64 here — alongside 63 others — read 7 August 2026
Arsh Goyal : Youtube @goyalarsh · 191,293 Telegram ranks this channel #59 of 69 here — alongside 68 others — read 11 August 2026
Go Careers 🚀 @gocareers · 79,275 Telegram ranks this channel #71 of 77 here — alongside 76 others — read 18 August 2026
FresherOffCampus Official Channel @fresheroffcampus · 109,737 Telegram ranks this channel #89 of 94 here — alongside 93 others — read 14 August 2026
This channel appears in 6 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 24 September 2026 — this
entry's latest reading, not the date you are reading this.
“LiquidX Projects” (@liquidxprojects), 18,172 subscribers as measured 24 September 2026. Telegram Register, tgregister.com/channel/liquidxprojects.
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.