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Channel

Cursos Gratis

@CursosFacialix

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Domains linked from posts · Cite this entry

52,001subscribers

-916 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-1001180307382
TypeChannel
Username@CursosFacialix
DescriptionCurso gratis de programación, diseño, base de datos, ingeniería y más. Todos los cursos aquí listados son de manera legal en sus plataformas correspondientes. Anuncios y publicidad [email protected]
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/CursosFacialix

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 3 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@CursosFacialix/97629 · this entry7 Aug 2026, 00:04 UTC@facialix/444217 Aug 2026, 00:04 UTC1.00under a minute
@CursosFacialix/97637 · this entry7 Aug 2026, 02:12 UTC@facialix/444267 Aug 2026, 02:12 UTC1.00under a minute
@CursosFacialix/97643 · this entry7 Aug 2026, 02:58 UTC@facialix/444307 Aug 2026, 02:58 UTC1.00under a minute
@CursosFacialix/97721 · this entry7 Aug 2026, 16:08 UTC@facialix/444847 Aug 2026, 16:08 UTC1.00under a minute
@CursosFacialix/97731 · this entry7 Aug 2026, 17:54 UTC@facialix/444907 Aug 2026, 17:54 UTC1.00under a minute
@CursosFacialix/97735 · this entry7 Aug 2026, 18:19 UTC@facialix/444937 Aug 2026, 18:19 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@facialix26 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (260)
@UdemyGratisFree24 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (240)
@UCupones21 (8/8 hand-verifiable sample passed)1.00under a minute@UCupones (210)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 21 of the 21 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 27 comparable posts for this entry, running 7 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 4, the earliest publisher we hold is @UCupones. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_source, last confirmed 8 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 3 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

52,00152,91752,4597 August 2026 — 52,917 subscribers7 August 2026 — 52,917 subscribers7 August 2026 — 52,910 subscribers8 August 2026 — 52,897 subscribers9 August 2026 — 52,876 subscribers10 August 2026 — 52,838 subscribers11 August 2026 — 52,808 subscribers12 August 2026 — 52,796 subscribers13 August 2026 — 52,770 subscribers15 August 2026 — 52,726 subscribers16 August 2026 — 52,698 subscribers17 August 2026 — 52,682 subscribers18 August 2026 — 52,659 subscribers19 August 2026 — 52,635 subscribers20 August 2026 — 52,614 subscribers21 August 2026 — 52,600 subscribers23 August 2026 — 52,570 subscribers24 August 2026 — 52,526 subscribers25 August 2026 — 52,511 subscribers26 August 2026 — 52,488 subscribers27 August 2026 — 52,476 subscribers28 August 2026 — 52,446 subscribers29 August 2026 — 52,423 subscribers30 August 2026 — 52,401 subscribers31 August 2026 — 52,369 subscribers1 September 2026 — 52,337 subscribers2 September 2026 — 52,308 subscribers4 September 2026 — 52,283 subscribers6 September 2026 — 52,242 subscribers10 September 2026 — 52,202 subscribers12 September 2026 — 52,145 subscribers13 September 2026 — 52,094 subscribers15 September 2026 — 52,047 subscribers17 September 2026 — 52,001 subscribers7 August 202617 September 2026
34 measurements spanning 42 days, net -916. 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 51,864–53,054 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
17 Sept 2026, 21:1752,001-46
15 Sept 2026, 16:1652,047-47
13 Sept 2026, 22:2052,094-51
12 Sept 2026, 07:5552,145-57
10 Sept 2026, 01:3952,202-40
6 Sept 2026, 17:5952,242-41
4 Sept 2026, 04:0052,283-25
2 Sept 2026, 20:1452,308-29
1 Sept 2026, 15:0452,337-32
31 Aug 2026, 11:5552,369-32
30 Aug 2026, 13:0552,401-22
29 Aug 2026, 15:2652,423-23
28 Aug 2026, 15:4152,446-30
27 Aug 2026, 14:3352,476-12
26 Aug 2026, 13:0452,488-23
25 Aug 2026, 15:4752,511-15
24 Aug 2026, 15:0452,526-44
23 Aug 2026, 01:0352,570-30
21 Aug 2026, 12:2452,600-14
20 Aug 2026, 15:3752,614first reading

Engagement

1,900 posts held, back to 7 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 95 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.109%
avg views ÷ 52,001 subscribers
Avg views / post
56.5
1,180 posts measured
Reaction rate
0.552%
reactions ÷ views · ER floor
Posts in window
1,180
of 1,900 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 6 of 1,180 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 September 2026
Posts held1,900 (7 August 202622 September 2026)
Views total66,656
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Sept 2026, 04:28 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
99,600
Videos
2
Links
8,350

Lifetime counters from Telegram’s own channel header, read 22 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.

Reaction mix

3 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 66.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
266.7%
😁133.3%

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 5 of the 1,000 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 27 August 2026 to 22 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.

Recent posts

22 Sept 2026, 04:17 UTC12 viewsread 22 September 2026

Cupón Udemy: NLP en Python: Modelos de Probabilidad y Análisis de Texto Borrar cache del navegador si no pueden ver el enlace del cupón https://facialix.com/cupones/nlp-in-python-probability-models-statistics-text-analysis/

22 Sept 2026, 04:15 UTC13 viewsread 22 September 2026

Cupón Udemy: Airtable: Guía Completa para Project Managers Borrar cache del navegador si no pueden ver el enlace del cupón https://facialix.com/cupones/airtable-the-project-managers-complete-guide/

22 Sept 2026, 04:15 UTC11 viewsread 22 September 2026
Photo

Cupón Udemy | Curso HR Analytics: Análisis y Predicción en RRHH [ES] | 100% de descuento

22 Sept 2026, 03:45 UTC37 viewsread 22 September 2026
Photo

Aprende amenazas, hardware y redes con este curso gratuito de ciberseguridad en Udemy

22 Sept 2026, 03:25 UTC45 viewsread 22 September 2026

Cupón Udemy: IA para Fintech: usa ChatGPT y GenAI en finanzas Borrar cache del navegador si no pueden ver el enlace del cupón https://facialix.com/cupones/ai-for-fintech-use-chatgpt-and-genai-in-fintech/

22 Sept 2026, 03:23 UTC33 viewsread 22 September 2026

Cupón Udemy: Reportes dinámicos en Excel para marketing analytics gratis Borrar cache del navegador si no pueden ver el enlace del cupón https://facialix.com/cupones/dynamic-excel-reports-for-marketing-analytics/

22 Sept 2026, 03:22 UTC23 viewsread 22 September 2026

Cupón Udemy: Domina C# 12: de Apps de Consola a Desarrollo Web Borrar cache del navegador si no pueden ver el enlace del cupón https://facialix.com/cupones/master-c-12-fundamentals-oop-linq-aspnet-projects/

22 Sept 2026, 03:15 UTC33 viewsread 22 September 2026
Photo

Cupón Udemy | Curso Digital HR: HRIS, ATS, LMS e IA en RRHH [ES] | 100% de descuento

22 Sept 2026, 03:12 UTC35 viewsread 22 September 2026

Cupón Udemy: Domina Trello: Guía Completa de Gestión de Proyectos Borrar cache del navegador si no pueden ver el enlace del cupón https://facialix.com/cupones/trello-mastery-comprehensive-guide-to-project-management/

22 Sept 2026, 02:45 UTC47 viewsread 22 September 2026
Photo

Udemy ofrece gratis un curso práctico para conectar Python 3 con bases de datos SQLite

22 Sept 2026, 02:29 UTC65 viewsread 22 September 2026
Photo

Cupón Udemy: DCA Docker 2026: +200 Tests Prácticos Gratis con Cupón Borrar cache del navegador si no pueden ver el enlace del cupón

22 Sept 2026, 02:22 UTC64 viewsread 22 September 2026

🎓 Hemos encontrado 4 cupones disponibles, ¡obtenlos ahora! 📌 Splunk SPLK-1001: tests de práctica 2026 gratis con cupón https://facialix.com/cupones/practice-tests-for-splunk-core-certified-user-certification/ 📌 ISTQB CTFL v4.0: Tests para aprobar Tester Certificado 2026 https://facialix.com/cupones/istqb-exams-for-certified-tester-foundation-level-ctfl/ 📌 CIW JavaScript Specialist 1D0-735: Tests de práctica 2026

Showing the 12 most recent of 1,900 posts we hold for @CursosFacialix. 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.

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

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

Programadores.py Capacitate
@ProgramadoresCapacitate · 10,504
#1
CURSOS EN MEGA 💚
@cursosenmegaa · 6,621
#2
UP - Hablemos de Ciberseguridad
@HablemosDeCiberseguridad · 10,484
#3
🌎 𝗖𝗼𝗻𝗼𝗰𝗶𝗺𝗶𝗲𝗻𝘁𝗼 𝗙𝘂𝗹𝗹 📚
@DescargaFull · 3,074
#4
Aprende Python
@aprendepython · 5,572
#5
Clouds Exchanger
@CloudExchanger20 · 5,497
#6
Mundo Ingenieria I⏪⏩
@MundoIngenieria1 · 26,974
#7
🇪🇸 Python Practice 🐍💻⌨ https://github.com/activeceron
@python_practice · 3,051
#8
MuyComputer
@muycomputer · 9,232
#9
Elladodelmal
@Elladodelmal · 7,602
#10
Repositorio data science
@repo_science · 4,724
#11
Genbeta
@genbeta · 6,550
#12
🆓🇨 🇹 🇬- 🅒🅤🅡🅢🅞🅢 🅓🅔 🅣🅡🅐🅓🅘🅝🅖 🅖🅡🅐🅣🅘🅢 🆓
@CursosTradingGratis · 9,511
#13
CódigoArchivo «« cursos
@codigoArchivo · 2,110
#14
EDteam
@edteamlat · 2,699
#15
🔒Seguridad Informática
@seguridadinformatic4 · 29,172
#16
HACKEANDO MENTES
@HACKEANDOSUSMENTESRESPALDO · 4,365
#17
Código Facilito 🐊 - Canal oficial de anuncios y actualizaciones
@codigofacilito_oficial · 6,449
#18
MuyLinux
@muylinux · 8,478
#19
Pléyades IT CIBERSEGURIDAD
@pleyades_it · 5,197
#20
Xataka
@xataka · 49,293
#21
Underc0de Links
@underc0denews · 4,529
#22
Segu-Info Channel
@SeguInfoChannel · 9,046
#23
Sombrero Blanco - Ciberseguridad
@sombreroblanco · 9,875
#24
tech lado - IA, ChatGPT, tecnología, robots
@techladotech · 30,623
#25
UXUI Depósito | Recursos de diseño web
@uxui_depo · 2,415
#26
Derecho de la Red
@DerechodelaRed · 15,689
#27
Artificial Intelligence / Deep & Machine Learning (Data Science)
@DataLearning_101 · 14,869
#28

Read from Telegram’s recommendation API, most recently 5 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

Mundo Ingenieria I⏪⏩
@MundoIngenieria1 · 26,974
Telegram ranks this channel #24 of 39 here — alongside 38 others — read 11 September 2026
Codehub
@pythonadvisorai · 32,138
Telegram ranks this channel #60 of 71 here — alongside 70 others — read 5 September 2026

This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Domains linked from posts

One domain this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.

facialix.com13 posts · 7 August 2026 – 7 August 2026 · example post

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

“Cursos Gratis” (@CursosFacialix), 52,001 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/CursosFacialix.

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.