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Channel

️Crypto Rates, Prices and news

@CryptoRates1

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

9,026subscribers

-236 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-1002128773770
TypeChannel
Username@CryptoRates1
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live15 September 2026
Measurements held14
Confirmed unchanged1 time, most recently 15 September 2026
On Telegramt.me/CryptoRates1

Topic

Other / unclassifiable — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 33% 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

9,0269,2629,1447 August 2026 — 9,262 subscribers7 August 2026 — 9,262 subscribers8 August 2026 — 9,256 subscribers11 August 2026 — 9,236 subscribers14 August 2026 — 9,213 subscribers17 August 2026 — 9,203 subscribers21 August 2026 — 9,182 subscribers24 August 2026 — 9,159 subscribers27 August 2026 — 9,140 subscribers30 August 2026 — 9,124 subscribers2 September 2026 — 9,102 subscribers7 September 2026 — 9,067 subscribers11 September 2026 — 9,044 subscribers15 September 2026 — 9,026 subscribers7 August 202615 September 2026
14 measurements spanning 39 days, net -236. 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 8,991–9,297 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Sept 2026, 20:169,026-18
11 Sept 2026, 21:179,044-23
7 Sept 2026, 21:019,067-35
2 Sept 2026, 23:139,102-22
30 Aug 2026, 10:349,124-16
27 Aug 2026, 11:389,140-19
24 Aug 2026, 15:469,159-23
21 Aug 2026, 02:339,182-21
17 Aug 2026, 19:189,203-10
14 Aug 2026, 18:189,213-23
11 Aug 2026, 03:529,236-20
8 Aug 2026, 01:549,256-6
7 Aug 2026, 13:029,262no change
7 Aug 2026, 12:499,262first reading

Engagement

40 posts held, back to 15 January 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 32 pages of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 40 posts for this entry, the most recent from 27 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

37 reactions across 10 posts, in 6 distinct kinds. The most used accounts for 54.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2054.1%
👍821.6%
👏410.8%
🐳25.41%
👎25.41%
🔥12.70%

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 10 of the 40 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 37 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 40 most recent posts we hold, published 15 January 2025 to 27 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

26 Aug 2026, 12:47 UTC41 viewsread 28 August 2026
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21 Aug 2026, 08:40 UTC117 viewsread 28 August 2026
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Showing the 12 most recent of 40 posts we hold for @CryptoRates1. 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

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

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.

PythonNotes
@pythonnotes1 · 76,923
Telegram ranks this channel #29 of 69 here — alongside 68 others — read 19 August 2026
Crypto Lessons
@cryptotutorials_101 · 30,485
Telegram ranks this channel #35 of 63 here — alongside 62 others — read 7 September 2026
Kaggle Data Hub
@datasets1 · 29,023
Telegram ranks this channel #38 of 84 here — alongside 83 others — read 9 September 2026
Remote Jobs — Daily LinkedIn Picks 💼
@Jobs204 · 22,576
Telegram ranks this channel #42 of 80 here — alongside 79 others — read 20 September 2026
Learn Python Coding
@pythonRe · 40,364
Telegram ranks this channel #46 of 83 here — alongside 82 others — read 30 August 2026
Jobs Gallery
@JobsGallery · 25,198
Telegram ranks this channel #51 of 68 here — alongside 67 others — read 14 September 2026
Machine Learning with Python
@CodeProgrammer · 68,301
Telegram ranks this channel #56 of 84 here — alongside 83 others — read 20 August 2026
ML - DS/DA/DE - AI [Jobs, InterviewPrep] 🇮🇳
@ml_ds_ai_jobs · 25,932
Telegram ranks this channel #58 of 81 here — alongside 80 others — read 13 September 2026
Data Analytics
@DataAnalyticsX · 30,208
Telegram ranks this channel #60 of 85 here — alongside 84 others — read 7 September 2026
AI & ML Papers
@PaperNexus · 33,858
Telegram ranks this channel #60 of 85 here — alongside 84 others — read 4 September 2026
Machine Learning
@MachineLearning9 · 41,424
Telegram ranks this channel #62 of 79 here — alongside 78 others — read 30 August 2026
Python Courses & Resources
@Python53 · 50,715
Telegram ranks this channel #62 of 78 here — alongside 77 others — read 25 August 2026
Learn Business and Finance
@Learn_Business_101 · 52,476
Telegram ranks this channel #66 of 70 here — alongside 69 others — read 24 August 2026
Webdevelopment657
@webdevelopment657 · 22,379
Telegram ranks this channel #81 of 83 here — alongside 82 others — read 20 September 2026
Artificial Intelligence && Deep Learning
@DeepLearning_ai · 57,432
Telegram ranks this channel #83 of 87 here — alongside 86 others — read 23 August 2026
Artificial Intelligence
@Artificial_intelligence_in · 65,766
Telegram ranks this channel #86 of 90 here — alongside 89 others — read 21 August 2026
CloudyML - Data Science & Analytics
@cloudymlofficial · 47,680
Telegram ranks this channel #88 of 88 here — alongside 87 others — read 26 August 2026
Machine Learning & Artificial Intelligence | Data Science Free Courses
@datasciencefree · 68,434
Telegram ranks this channel #88 of 88 here — alongside 87 others — read 20 August 2026

This channel appears in 18 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 15 September 2026 — this entry's latest reading, not the date you are reading this.

“️Crypto Rates, Prices and news” (@CryptoRates1), 9,026 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/CryptoRates1.

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.