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Channel

Cursos Secretos - Forja de Hefesto 🔱

@ForjadeHefesto

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Handles named that no longer answer · Cite this entry

116,173subscribers

-19 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001989045060
TypeChannel
Username@ForjadeHefesto
DescriptionBem-vindo a Forja de Hefesto, aqui não vendemos nada, é aqui que os guerreiros e guerreiras são forjados
CreatedBetween 1 April 2023 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/ForjadeHefesto

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 9 August 2026 and assigned it the closest of 31 fixed categories, at 61% 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 1 other registered channel. 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
@ForjadeHefesto/2759 · this entry24 Jul 2026, 13:00 UTC@estudoonlinee/320506 Aug 2026, 09:53 UTC1.0013 days
@ForjadeHefesto/2760 · this entry24 Jul 2026, 19:00 UTC@estudoonlinee/320516 Aug 2026, 09:53 UTC1.0013 days
@ForjadeHefesto/2761 · this entry25 Jul 2026, 13:00 UTC@estudoonlinee/320526 Aug 2026, 09:53 UTC1.0012 days
@ForjadeHefesto/2754 · this entry22 Jul 2026, 13:00 UTC@estudoonlinee/320556 Aug 2026, 16:00 UTC1.0015 days
@ForjadeHefesto/2755 · this entry22 Jul 2026, 13:21 UTC@estudoonlinee/320566 Aug 2026, 16:00 UTC1.0015 days
@ForjadeHefesto/2756 · this entry22 Jul 2026, 19:00 UTC@estudoonlinee/320576 Aug 2026, 16:00 UTC1.0015 days
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@estudoonlinee7 (7/7 hand-verifiable sample passed)1.0014 daysthis entry (70)

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. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 19 comparable posts for this entry, running 19 July 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 2, the earliest publisher we hold is @ForjadeHefesto — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key 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 1 other registered channel, 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

116,162116,201116,181.57 August 2026 — 116,192 subscribers8 August 2026 — 116,201 subscribers9 August 2026 — 116,173 subscribers10 August 2026 — 116,170 subscribers11 August 2026 — 116,162 subscribers12 August 2026 — 116,173 subscribers116,1737 August 202612 August 2026
6 measurements spanning 4 days, net -19. 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 116,156–116,207 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 04:42116,173+11
11 Aug 2026, 05:37116,162-8
10 Aug 2026, 05:20116,170-3
9 Aug 2026, 08:07116,173-28
8 Aug 2026, 09:48116,201+9
7 Aug 2026, 17:48116,192first reading

Engagement

34 posts held, back to 19 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 15 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
7.28%
avg views ÷ 116,173 subscribers
Avg views / post
8,460
34 posts measured
Reaction rate
0.091%
reactions ÷ views · ER floor
Posts in window
34
of 34 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 33 of 34 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 12 August 2026
Posts held34 (19 July 202612 August 2026)
Views total287,650
Reactions total254
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 18:25 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
719
Videos
25
Links
684

Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

254 reactions across 33 posts, in 4 distinct kinds. The most used accounts for 94.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
24094.5%
🔥124.72%
👍10.394%
😱10.394%

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 33 of the 34 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 254reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 34 most recent posts we hold, published 19 July 2026 to 12 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

12 Aug 2026, 13:00 UTC≈1,120 views1 reactionsread 12 August 2026
Photo

🐘 Nome: Comunidade Cisco - Lucas Palma (2022) 🏛 Categoria: Receitas 🌎 Tipo: #TI 💾 Tamanho: 73.50 GiB 🔥 @CursosRedirect | @ferramentas ━━━━━━━━━━━━━━━━ ⚔️ TCS SPY O arsenal de IA que custa uma fração do normal 131 perfis · 65 ferramentas · +200 bônus no Pack Spy 🤖 ChatGPT Plus, Grok Heavy, Perplexity MAX 🎨 Leonardo, Ideogram, Freepik 🎬 Veo 3.1, HailuoAI, HeyGen, CapCut 🎙 ElevenLabs 🕵️ AdSpy, Kalodata, VidIQ 🛡

1

12 Aug 2026, 12:28 UTC≈1,180 views3 reactionsread 12 August 2026
Photo

🐘 Nome: Claude Code na prática: evoluindo um projeto com IA - Asimov Academy 🏛 Categoria: Receitas 🌎 Tipo: #IA 💾 Tamanho: 31.20 GiB 🔥 @CursosRedirect | @ferramentas ━━━━━━━━━━━━━━━━ ⚔️ TCS SPY O arsenal de IA que custa uma fração do normal 131 perfis · 65 ferramentas · +200 bônus no Pack Spy 🤖 ChatGPT Plus, Grok Heavy, Perplexity MAX 🎨 Leonardo, Ideogram, Freepik 🎬 Veo 3.1, HailuoAI, HeyGen, CapCut 🎙 ElevenLab

2🔥1

11 Aug 2026, 19:00 UTC≈2,590 views4 reactionsread 12 August 2026
Photo

🐘 Nome: Logicamente Pro - Lógica de Programação c Prof Marcio Santos 🏛 Categoria: Receitas 🌎 Tipo: #Programação 💾 Tamanho: 6.8 GiB 🔥 @CursosRedirect | @ferramentas ━━━━━━━━━━━━━━━━ ⚔️ TCS SPY O arsenal de IA que custa uma fração do normal 131 perfis · 65 ferramentas · +200 bônus no Pack Spy 🤖 ChatGPT Plus, Grok Heavy, Perplexity MAX 🎨 Leonardo, Ideogram, Freepik 🎬 Veo 3.1, HailuoAI, HeyGen, CapCut 🎙 ElevenLabs

4

11 Aug 2026, 13:00 UTC≈3,230 views6 reactionsread 12 August 2026
Photo

🐘 Nome: Comunidade KubeDev - Fabrício Soares Veronez 🏛 Categoria: Receitas 🌎 Tipo: #DevOps 💾 Tamanho: 34.40 GiB 🔥 @CursosRedirect | @ferramentas ━━━━━━━━━━━━━━━━ ⚔️ TCS SPY O arsenal de IA que custa uma fração do normal 131 perfis · 65 ferramentas · +200 bônus no Pack Spy 🤖 ChatGPT Plus, Grok Heavy, Perplexity MAX 🎨 Leonardo, Ideogram, Freepik 🎬 Veo 3.1, HailuoAI, HeyGen, CapCut 🎙 ElevenLabs 🕵️ AdSpy, Kalodat

6

11 Aug 2026, 11:06 UTC≈3,230 views9 reactionsread 12 August 2026
Photo

🐘 Nome: App de Elite Crie Aplicativos (Sem saber Programar) 🏛 Categoria: Receitas 🌎 Tipo: #Programação 💾 Tamanho: 1.9 GiB 🔥 @CursosRedirect | @ferramentas ━━━━━━━━━━━━━━━━ ⚔️ TCS SPY O arsenal de IA que custa uma fração do normal 131 perfis · 65 ferramentas · +200 bônus no Pack Spy 🤖 ChatGPT Plus, Grok Heavy, Perplexity MAX 🎨 Leonardo, Ideogram, Freepik 🎬 Veo 3.1, HailuoAI, HeyGen, CapCut 🎙 ElevenLabs 🕵️ AdSp

9

10 Aug 2026, 19:00 UTC≈4,310 views11 reactionsread 12 August 2026
Photo

🐘 Nome: Laravel 5.1 com AngularJS - Full Cycle 🏛 Categoria: Receitas 🌎 Tipo: #Programação 💾 Tamanho: 4.0 GiB 🔥 @CursosRedirect | @ferramentas ━━━━━━━━━━━━━━━━ ⚔️ TCS SPY O arsenal de IA que custa uma fração do normal 131 perfis · 65 ferramentas · +200 bônus no Pack Spy 🤖 ChatGPT Plus, Grok Heavy, Perplexity MAX 🎨 Leonardo, Ideogram, Freepik 🎬 Veo 3.1, HailuoAI, HeyGen, CapCut 🎙 ElevenLabs 🕵️ AdSpy, Kalodata,

10😱1

10 Aug 2026, 13:00 UTC≈4,650 views3 reactionsread 12 August 2026
Photo

🐘 Nome: MBA Arquitetura - FullCycle 🏛 Categoria: Receitas 🌎 Tipo: #Programação 💾 Tamanho: 33.90 GiB 🔥 @CursosRedirect | @ferramentas ━━━━━━━━━━━━━━━━ ⚔️ TCS SPY O arsenal de IA que custa uma fração do normal 131 perfis · 65 ferramentas · +200 bônus no Pack Spy 🤖 ChatGPT Plus, Grok Heavy, Perplexity MAX 🎨 Leonardo, Ideogram, Freepik 🎬 Veo 3.1, HailuoAI, HeyGen, CapCut 🎙 ElevenLabs 🕵️ AdSpy, Kalodata, VidIQ 🛡

3

10 Aug 2026, 11:29 UTC≈4,540 views12 reactionsread 12 August 2026
Photo

🐘 Nome: Treinamento Completo de System Design - Augusto Galego 🏛 Categoria: Receitas 🌎 Tipo: #Programação 💾 Tamanho: 24.58 GiB 🔥 @CursosRedirect | @ferramentas ━━━━━━━━━━━━━━━━ ⚔️ TCS SPY O arsenal de IA que custa uma fração do normal 131 perfis · 65 ferramentas · +200 bônus no Pack Spy 🤖 ChatGPT Plus, Grok Heavy, Perplexity MAX 🎨 Leonardo, Ideogram, Freepik 🎬 Veo 3.1, HailuoAI, HeyGen, CapCut 🎙 ElevenLabs 🕵️

10🔥2

9 Aug 2026, 19:00 UTC≈5,190 views7 reactionsread 12 August 2026
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🐘 Nome: Codeboost (Atualizado 2024) - William Moreira 🏛 Categoria: Receitas 🌎 Tipo: #Programação 💾 Tamanho: 27.90 GiB 🔥 @CursosRedirect | @ferramentas ━━━━━━━━━━━━━━━━ ⚔️ TCS SPY O arsenal de IA que custa uma fração do normal 131 perfis · 65 ferramentas · +200 bônus no Pack Spy 🤖 ChatGPT Plus, Grok Heavy, Perplexity MAX 🎨 Leonardo, Ideogram, Freepik 🎬 Veo 3.1, HailuoAI, HeyGen, CapCut 🎙 ElevenLabs 🕵️ AdSpy, K

7

9 Aug 2026, 13:00 UTC≈5,320 views4 reactionsread 12 August 2026
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🐘 Nome: IsiFlix - Isidro 🏛 Categoria: Receitas 🌎 Tipo: #Programação 💾 Tamanho: 42.54 GiB 🔥 @CursosRedirect | @ferramentas ━━━━━━━━━━━━━━━━ ⚔️ TCS SPY O arsenal de IA que custa uma fração do normal 131 perfis · 65 ferramentas · +200 bônus no Pack Spy 🤖 ChatGPT Plus, Grok Heavy, Perplexity MAX 🎨 Leonardo, Ideogram, Freepik 🎬 Veo 3.1, HailuoAI, HeyGen, CapCut 🎙 ElevenLabs 🕵️ AdSpy, Kalodata, VidIQ 🛡 AdsPower (W

4

8 Aug 2026, 19:00 UTC≈5,830 views14 reactionsread 12 August 2026
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🐘 Nome: Impulsione sua carreira globalmente sem sair de casa - Kenzie Academy 🏛 Categoria: Receitas 🌎 Tipo: #Programação 💾 Tamanho: 0.8 GiB 🔥 @CursosRedirect | @ferramentas ━━━━━━━━━━━━━━━━ ⚔️ TCS SPY O arsenal de IA que custa uma fração do normal 131 perfis · 65 ferramentas · +200 bônus no Pack Spy 🤖 ChatGPT Plus, Grok Heavy, Perplexity MAX 🎨 Leonardo, Ideogram, Freepik 🎬 Veo 3.1, HailuoAI, HeyGen, CapCut 🎙 E

12🔥2

8 Aug 2026, 13:00 UTC≈5,940 views8 reactionsread 12 August 2026
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🐘 Nome: Imersão Full Stack && Full Cycle - 18 🏛 Categoria: Receitas 🌎 Tipo: #Programação 💾 Tamanho: 5.3 GiB 🔥 @CursosRedirect | @ferramentas ━━━━━━━━━━━━━━━━ ⚔️ TCS SPY O arsenal de IA que custa uma fração do normal 131 perfis · 65 ferramentas · +200 bônus no Pack Spy 🤖 ChatGPT Plus, Grok Heavy, Perplexity MAX 🎨 Leonardo, Ideogram, Freepik 🎬 Veo 3.1, HailuoAI, HeyGen, CapCut 🎙 ElevenLabs 🕵️ AdSpy, Kalodata, V

7🔥1

Showing the 12 most recent of 34 posts we hold for @ForjadeHefesto. 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.

Polls

The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.

6 Aug 2026, 12:18 UTCAnonymous Poll324 voters

Sendo honesto: o mais avançado que você JÁ FEZ com IA?

  1. Nunca usei ou só testei uma ou duas vezes7%
  2. Uso ChatGPT/Gemini de vez em quando pra pergunta solta29%
  3. Uso todo dia no trabalho, mas só conversando no chat25%
  4. Pago assinatura e uso várias ferramentas diferentes11%
  5. Monto prompts, GPTs ou Projects estruturados que reuso10%
  6. Automatizo com n8n/Make/API ou rodo agents5%
  7. Construo produto, codo com IA ou vendo serviço de IA13%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

6 Aug 2026, 12:16 UTCAnonymous Poll265 voters

Em um grupo de Inteligência artificial, quais seriam as principais coisas que vocês gostariam de ver la dentro? Ferramentas? Assinaturas baratas? Prompts e workflows? Como ganhar dinheiro com IA?

  1. Assinaturas baratas / acesso a ferramentas pagas43%
  2. Ferramentas: o que usar pra cada coisa (curadoria)38%
  3. Aprender a usar IA35%
  4. Prompts e workflows prontos pra copiar37%
  5. Como ganhar dinheiro com IA57%
  6. Tutoriais práticos passo a passo (automação, n8n, agents)38%
  7. Técnico profundo (API, código, fine-tune)22%
  8. Cases reais / bastidores de quem usa26%
  9. Cases reais / bastidores de quem usa11%

The shares total 307%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 34 most recent posts we hold, published 19 July 2026 to 12 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Citation-graph rank

Citation-graph rank — 103,044 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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

Named by 3 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.

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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Cursos Secretos - Forja de Hefesto 🔱” (@ForjadeHefesto), 116,173 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/ForjadeHefesto.

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.