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Channel

Pense Simples, por Gustavo Caetano / inovação e empreendedorismo

@PenseSimples

Verified by Telegram

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

9,026subscribers

-388 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-1001219044933
TypeChannel
Username@PenseSimples
DescriptionNotícias e artigos que vão abrir sua cabeça e te ajudar a pensar cada vez mais simples! Inovação, empreendedorismo, gráficos, vídeos e muito mais. Www.gustavocaetano.com
CreatedBetween 1 April 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 November 2026
Measurements held27
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/PenseSimples

Topic

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 68% 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 the other topics.

Growth

9,0269,4149,2207 August 2026 — 9,414 subscribers8 August 2026 — 9,410 subscribers11 August 2026 — 9,380 subscribers15 August 2026 — 9,365 subscribers18 August 2026 — 9,358 subscribers21 August 2026 — 9,343 subscribers25 August 2026 — 9,330 subscribers27 August 2026 — 9,323 subscribers30 August 2026 — 9,309 subscribers2 September 2026 — 9,287 subscribers6 September 2026 — 9,271 subscribers11 September 2026 — 9,246 subscribers14 September 2026 — 9,225 subscribers19 September 2026 — 9,214 subscribers29 September 2026 — 9,165 subscribers6 October 2026 — 9,141 subscribers12 October 2026 — 9,116 subscribers15 October 2026 — 9,112 subscribers18 October 2026 — 9,095 subscribers20 October 2026 — 9,094 subscribers23 October 2026 — 9,085 subscribers26 October 2026 — 9,080 subscribers29 October 2026 — 9,082 subscribers1 November 2026 — 9,072 subscribers4 November 2026 — 9,061 subscribers7 November 2026 — 9,033 subscribers11 November 2026 — 9,026 subscribers7 August 202611 November 2026
27 measurements spanning 96 days, net -388. 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 8,968–9,472 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
11 Nov 2026, 15:599,026-7
7 Nov 2026, 20:089,033-28
4 Nov 2026, 15:019,061-11
1 Nov 2026, 12:379,072-10
29 Oct 2026, 21:069,082+2
26 Oct 2026, 19:569,080-5
23 Oct 2026, 23:509,085-9
20 Oct 2026, 23:169,094-1
18 Oct 2026, 07:379,095-17
15 Oct 2026, 10:489,112-4
12 Oct 2026, 16:599,116-25
6 Oct 2026, 12:019,141-24
29 Sept 2026, 10:179,165-49
19 Sept 2026, 17:169,214-11
14 Sept 2026, 20:589,225-21
11 Sept 2026, 06:189,246-25
6 Sept 2026, 16:369,271-16
2 Sept 2026, 14:339,287-22
30 Aug 2026, 14:549,309-14
27 Aug 2026, 21:149,323first reading

Engagement

79 posts held, back to 26 July 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 53 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.79%
avg views ÷ 9,026 subscribers
Avg views / post
432
25 posts measured
Reaction rate
0.194%
reactions ÷ views · ER floor
Posts in window
25
of 79 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 25 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 7 November 2026
Posts held79 (26 July 2026 – 7 November 2026)
Views total10,801
Reactions total5
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Nov 2026, 01:07 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
≈2,190
Videos
≈594
Links
≈3,280

Lifetime counters from Telegram’s own channel header, read 14 November 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
3m 49s
Average length
1m 55s

Measured directly from 2 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

22 reactions across 17 posts, in 4 distinct kinds. The most used accounts for 59.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1359.1%
👏522.7%
👍29.09%
🔥29.09%

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 19 of the 79 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 22 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 79 most recent posts we hold, published 26 July 2026 to 7 November 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

Telegram’s own ‘edited’ marker: 1 of 25 posts held from the last 30 days (4.00%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

7 Nov 2026, 11:56 UTC507 viewsread 14 November 2026

Eu separei cinco notícias que parecem técnicas, mas todas mexem numa decisão bem comum: onde colocar automação sem aumentar o custo de errar? É o tipo de lista que vale mandar para quem acha que ferramenta nova resolve processo ruim por conta própria. 1. A Anthropic quer que agentes parem de carregar a vida inteira nas costas. O texto foi publicado em 6 de novembro e voltou ao debate no Hacker News em 7 de novembro.…

5 Nov 2026, 12:13 UTC509 views0 reactionsread 14 November 2026

Eu separei cinco novidades que pedem menos deslumbramento e mais uma pergunta útil: o que muda no controle, no custo ou na explicação do trabalho? É uma boa lista para mandar para quem acha que toda novidade de IA resolve tudo sozinha. 1. Baidu liberou uma base de IA para quem quer especializar o modelo. A empresa publicou o ERNIE 5.5 Flash Base em 5 de novembro; o assunto entrou no Hacker News no mesmo dia. “Base” …

4 Nov 2026, 20:37 UTC388 viewsread 14 November 2026
Photo

Vou te contar como a Mondelez decide onde colocar um agente. Gravei SambaTalks com a Leila Zimmermann, CIO da Mondelez Brasil. Ela me disse que eles só ligam o agente depois de redesenhar o processo. Sem isso, o agente só faz o jeito antigo rodar mais depressa. Na edição: as três fases (experimentar, escolher o que escala, redesenhar), por que o custo sobe sem o resultado acompanhar, e um teste de 30 minutos com 4 …

4 Nov 2026, 12:12 UTC400 viewsread 14 November 2026

Eu trouxe cinco novidades que parecem distantes da rotina, mas todas batem numa pergunta bem normal: onde dá para tirar atrito sem entregar o volante para uma máquina? É o tipo de coisa que vale mandar para quem vive dizendo que o time precisa ganhar tempo. 1. Kitty 0.50: o terminal que lembra onde você parou. A versão foi lançada em 3 de novembro e entrou no Hacker News hoje. O Kitty é uma janela de comandos usada …

3 Nov 2026, 13:49 UTC399 views1 reactionsread 14 November 2026

Eu separei cinco novidades que parecem assunto de gente técnica, mas cada uma esconde uma decisão bem comum: confiar, crescer, proteger, acelerar ou trocar a base da casa. A tecnologia fica bem menos mágica quando a pergunta vira “o que eu preciso conferir antes de apostar nisso?”. 1. A Nvidia abriu um projeto para dar contexto verificável à IA. O repositório Auto Ontology entrou no debate no Hacker News em 3 de nov…

❤1

31 Oct 2026, 12:15 UTC513 viewsread 14 November 2026

Eu separei cinco novidades de tecnologia que têm uma coisa em comum: elas parecem detalhe até alguém precisar consertar o estrago. Hoje tem incidente de segurança, infraestrutura aberta e duas experiências que mostram como produto nasce fora do roteiro. 1. A Northflank pediu que clientes tratem todas as variáveis de ambiente como expostas. O incidente começou em 30 de outubro e voltou ao Hacker News no mesmo dia; na…

30 Oct 2026, 12:17 UTC474 viewsread 14 November 2026

Eu separei cinco novidades que ajudam a cortar uma confusão comum: notícia de tecnologia não vale pelo brilho, vale pela decisão que ela muda. Hoje tem modelo aberto, enxame de agentes, aplicativo para acompanhar terminais e dois lembretes de segurança que dão trabalho, mas evitam dor de cabeça. 1. Mistral abriu os pesos de um modelo grande de IA. Em 29 de outubro, a empresa liberou o Mistral Large 4 para que outras…

29 Oct 2026, 20:37 UTC418 viewsread 14 November 2026
Photo

Acabei de publicar no blog: Por que o GitHub virou a peça que evita depender de uma ferramenta só. Eu acho que a peça mais importante dessa história não é o modelo, é o repositório. Codex, Claude Code, Cursor e Copilot trabalham no mesmo GitHub, então você troca a ferramenta amanhã sem perder o trabalho. É por isso que até o meu second brain mora num repositório privado. https://www.gustavocaetano.com/blog/github-r…

29 Oct 2026, 12:16 UTC388 views1 reactionsread 14 November 2026

Eu separei cinco novidades que parecem muito diferentes, mas todas mexem com a mesma pergunta: onde vale colocar tempo e dinheiro agora? Tem IA que simula um computador, agente que vira projeto de software e fábrica que tenta ganhar dias, não só milissegundos. 1. Um computador escondido dentro de um modelo de IA. Em 22 de outubro, Divyansh Agrawal publicou o Qwenputer; o experimento voltou ao debate no Hacker News e…

❤1

28 Oct 2026, 20:37 UTC369 viewsread 14 November 2026
Photo

Acabei de publicar no blog: Em que estágio sua empresa está? O teste de maturidade em 4 níveis. Para medir maturidade em IA, não conte licenças nem pilotos. Pergunte onde a IA já mudou o jeito de trabalhar e quem responde por isso. Eu uso quatro níveis do MIT, a escala de 1, 10, 100 e 1.000 agentes e seis perguntas que a diretoria responde numa reunião. Se você está fechando o orçamento de 2027 e ninguém sabe dizer…

28 Oct 2026, 12:12 UTC396 views1 reactionsread 14 November 2026

Eu separei cinco novidades de hoje que mostram onde a tecnologia ajuda a enxergar melhor um problema, sem fingir que já resolveu tudo. Tem pesquisa, software aberto e um jeito menos cego de comparar uma compra. 1. Lei como histórico de versões. A Lexifina publicou em 28 de outubro uma história de nove partes do Código dos EUA e reaplicou cada mudança legislativa para montar as versões antigas. A ideia é parecida com…

❤1

27 Oct 2026, 20:34 UTC385 viewsread 14 November 2026
Photo

Publiquei um texto novo no blog: como escolher entre palestra, workshop, imersão e advisory antes de fechar o evento de 2027. A regra que eu uso com o cliente é simples. Escolha o formato pelo problema. Se precisa alinhar muita gente, é palestra. Se um grupo precisa sair com prioridades e responsáveis, some um workshop. Se a diretoria precisa decidir o que muda no negócio, é imersão. Se as decisões precisam ser acom…

Showing the 12 most recent of 79 posts we hold for @PenseSimples. 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

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.

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.

Geração de Valor
@plataformawiser · 49,747
Telegram ranks this channel #10 of 55 here — alongside 54 others — read 24 August 2026
O Primo Rico
@thiagonigro · 101,037
Telegram ranks this channel #25 of 73 here — alongside 72 others — read 16 August 2026
Erico Rocha - Galera Raiz
@ericorocha_galeraraiz · 87,020
Telegram ranks this channel #40 of 63 here — alongside 62 others — read 17 August 2026
XP Investimentos
@xp_investimentos · 53,154
Telegram ranks this channel #64 of 70 here — alongside 69 others — read 23 August 2026

This channel appears in 4 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“Pense Simples, por Gustavo Caetano / inovação e empreendedorismo” (@PenseSimples), 9,026 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/PenseSimples.

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.