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Channel

AI & ML Papers

@PaperNexus

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

33,553subscribers

+72 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001695655637
TypeChannel
Username@PaperNexus
DescriptionAdvancing research in Machine Learning – practical insights, tools, and techniques for researchers. Admin: @HusseinSheikho || @Hussein_Sheikho
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live21 August 2026
Measurements held13
Confirmed unchanged2 times, most recently 21 August 2026
On Telegramt.me/PaperNexus

Growth

33,48133,55333,5177 August 2026 — 33,481 subscribers7 August 2026 — 33,481 subscribers8 August 2026 — 33,488 subscribers9 August 2026 — 33,487 subscribers10 August 2026 — 33,485 subscribers11 August 2026 — 33,500 subscribers12 August 2026 — 33,498 subscribers14 August 2026 — 33,487 subscribers15 August 2026 — 33,499 subscribers17 August 2026 — 33,513 subscribers18 August 2026 — 33,514 subscribers19 August 2026 — 33,548 subscribers20 August 2026 — 33,553 subscribers7 August 202620 August 2026
13 measurements spanning 13 days, net +72. 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 33,470–33,564 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
20 Aug 2026, 10:5333,553+5
19 Aug 2026, 11:1233,548+34
18 Aug 2026, 09:1133,514+1
17 Aug 2026, 10:2633,513+14
15 Aug 2026, 20:2433,499+12
14 Aug 2026, 12:4533,487-11
12 Aug 2026, 02:4233,498-2
11 Aug 2026, 00:3633,500+15
10 Aug 2026, 03:5133,485-2
9 Aug 2026, 07:1233,487-1
8 Aug 2026, 04:0833,488+7
7 Aug 2026, 09:4533,481no change
7 Aug 2026, 09:3833,481first reading

Engagement

131 posts held, back to 5 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 42 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
1.04%
avg views ÷ 33,553 subscribers
Avg views / post
350
128 posts measured
Reaction rate
0.381%
reactions ÷ views · ER floor
Posts in window
131
of 131 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 40 of 128 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 22 August 2026
Posts held131 (5 August 202622 August 2026)
Views total44,778
Reactions total60
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Aug 2026, 20:29 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
7,240
Videos
562
Links
7,950

Lifetime counters from Telegram’s own channel header, read 22 August 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
1m 22s
Average length
14s

Measured directly from 6 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

60 reactions across 40 posts, in 2 distinct kinds. The most used accounts for 60.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3660.0%
👍2440.0%

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 40 of the 131 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 60reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 131 most recent posts we hold, published 5 August 2026 to 22 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.

Recent posts

22 Aug 2026, 05:39 UTC365 views1 reactionsread 22 August 2026
Photo

🔥 More models. Lower cost. One API key. Access GPT, Claude, Grok, Gemini, DeepSeek, Kimi, Qwen and more through one gateway. 💰 Better value Access leading models at prices below official API list rates. 🔌 One unified gateway Connect apps, agents and coding tools with one Smart API key. 📈 Clear costs Track every request, token and cost in one place. 🛡️ Reliable access Choose model groups with or

1

21 Aug 2026, 08:31 UTC362 views2 reactionsread 22 August 2026
Photo

🔥 More models. Lower cost. One API key. Access GPT, Claude, Grok, Gemini, DeepSeek, Kimi, Qwen and more through one gateway. 💰 Better value Access leading models at prices below official API list rates. 🔌 One unified gateway Connect apps, agents and coding tools with one Smart API key. 📈 Clear costs Track every request, token and cost in one place. 🛡️ Reliable access Choose model groups with or

2

Showing the 12 most recent of 131 posts we hold for @PaperNexus. 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

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.

Machine Learning with Python
@CodeProgrammer · 68,188
Telegram ranks this channel #4 of 84 here — alongside 83 others — read 20 August 2026
AI and Machine Learning
@machine_learning_courses · 95,211
Telegram ranks this channel #5 of 74 here — alongside 73 others — read 16 August 2026
Artificial Intelligence
@Artificial_intelligence_in · 65,539
Telegram ranks this channel #14 of 90 here — alongside 89 others — read 21 August 2026
Data Science & Machine Learning
@datasciencefun · 77,305
Telegram ranks this channel #14 of 85 here — alongside 84 others — read 19 August 2026
Learn Python
@LearnPython3 · 125,057
Telegram ranks this channel #17 of 65 here — alongside 64 others — read 13 August 2026
Computer Science and Programming
@computer_science_and_programming · 140,868
Telegram ranks this channel #20 of 87 here — alongside 86 others — read 13 August 2026
Machine Learning & Artificial Intelligence | Data Science Free Courses
@datasciencefree · 67,978
Telegram ranks this channel #21 of 88 here — alongside 87 others — read 20 August 2026
Coding Projects
@Programming_experts · 67,322
Telegram ranks this channel #25 of 84 here — alongside 83 others — read 20 August 2026
Udemy Free Courses | Coding | ChatGPT | AI Crypto | Microsoft Certificate | Artificial Intelligence
@udemy_free_courses_with_certi · 70,642
Telegram ranks this channel #25 of 80 here — alongside 79 others — read 20 August 2026
Data Analytics
@sqlspecialist · 110,764
Telegram ranks this channel #26 of 83 here — alongside 82 others — read 14 August 2026
Great Learning Academy
@GreatLearningAcademy · 156,950
Telegram ranks this channel #28 of 83 here — alongside 82 others — read 12 August 2026
Python Projects & Resources
@pythondevelopersindia · 63,316
Telegram ranks this channel #29 of 86 here — alongside 85 others — read 21 August 2026
Data Science
@sql_databases · 70,914
Telegram ranks this channel #29 of 73 here — alongside 72 others — read 20 August 2026
Python Programming Books
@dsabooks · 59,037
Telegram ranks this channel #33 of 89 here — alongside 88 others — read 22 August 2026
Learn React and NextJs
@React_Training · 63,212
Telegram ranks this channel #33 of 64 here — alongside 63 others — read 21 August 2026
Curious Coder
@Curious_Coder · 136,420
Telegram ranks this channel #33 of 75 here — alongside 74 others — read 13 August 2026
Web Development
@webdevcoursefree · 79,334
Telegram ranks this channel #35 of 79 here — alongside 78 others — read 19 August 2026
NOTES GALLERY
@NotesGallery1 · 91,373
Telegram ranks this channel #35 of 71 here — alongside 70 others — read 17 August 2026
Artificial Intelligence
@Artificial_Intelligence_COM · 72,539
Telegram ranks this channel #37 of 46 here — alongside 45 others — read 20 August 2026
PythonNotes
@pythonnotes1 · 78,494
Telegram ranks this channel #38 of 69 here — alongside 68 others — read 19 August 2026
SQL Programming Resources
@sqlanalyst · 76,646
Telegram ranks this channel #39 of 85 here — alongside 84 others — read 19 August 2026
Learn JavaScript
@JavaScript_Trainings · 97,098
Telegram ranks this channel #39 of 68 here — alongside 67 others — read 16 August 2026
Linux and DevOps
@LinuxMastery · 67,233
Telegram ranks this channel #43 of 60 here — alongside 59 others — read 22 August 2026
Jobs | Internships | Placement | Interviews
@getjobss · 113,225
Telegram ranks this channel #46 of 83 here — alongside 82 others — read 14 August 2026

This channel appears in 30 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 20 August 2026 — this entry's latest reading, not the date you are reading this.

“AI & ML Papers” (@PaperNexus), 33,553 subscribers as measured 20 August 2026. Telegram Register, tgregister.com/channel/PaperNexus.

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.