Channel
@quantbrasil
On this record: Topic · Growth · Engagement · Reactions · Posts · Cite this entry
1,149subscribers
+7 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001197162860 |
|---|---|
| Type | Channel |
| Username | @quantbrasil |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 7 October 2026 |
| Measurements held | 11 |
| Confirmed unchanged | 2 times, most recently 7 October 2026 |
| On Telegram | t.me/quantbrasil |
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 18 September 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 1 Oct 2026, 08:36 | 1,149 | -2 |
| 12 Sept 2026, 08:38 | 1,151 | +3 |
| 8 Sept 2026, 15:17 | 1,148 | +1 |
| 27 Aug 2026, 23:38 | 1,147 | +1 |
| 20 Aug 2026, 21:45 | 1,146 | +2 |
| 17 Aug 2026, 19:04 | 1,144 | -4 |
| 14 Aug 2026, 23:19 | 1,148 | +3 |
| 11 Aug 2026, 05:14 | 1,145 | +4 |
| 8 Aug 2026, 15:26 | 1,141 | -1 |
| 7 Aug 2026, 23:47 | 1,142 | no change |
| 7 Aug 2026, 23:09 | 1,142 | first reading |
20 posts held, back to 13 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 1 page 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 20 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
39 reactions across 13 posts, in 6 distinct kinds. The most used accounts for 53.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 21 | 53.8% | |
| 🙏 | 8 | 20.5% | |
| 👏 | 5 | 12.8% | |
| ❤ | 2 | 5.13% | |
| 💯 | 2 | 5.13% | |
| 😱 | 1 | 2.56% |
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 13 of the 20 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 39 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 13 July 2026 to 7 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.
Qwen 3.8 Max vs Kimi K3: qual é o melhor modelo open source? Comparei o Qwen 3.8 Max com Kimi K3, Grok 4.5 e GLM 5.2, mostrei benchmarks e testes práticos, e discuti custos e o impacto da liberação dos pesos para uso local. Nos testes, o Qwen 3.8 Max teve bom desempenho, mas o consumo pode ser um desafio. https://www.youtube.com/watch?v=1WNsgUgQFrI
Signed QuantBrasil Bot
DeepSeek V4 Flash não é perfeito. Pelo preço, não precisa ser Mostrei como o DeepSeek V4 Flash entrega bons resultados em tarefas reais e benchmarks, apesar de suas limitações, e destaquei que seu preço extremamente baixo compensa as interações extras requeridas. https://www.youtube.com/watch?v=tj2XfyAQjr8
Signed QuantBrasil Bot
Estamos no ar! Limite Semanal para falarmos das IAs boas e baratas: https://www.youtube.com/live/5-qn35wX_fM?si=onwH8OT_JBq3uC3y
Signed Rafael Quintanilha
A queda da última barreira Neste artigo compartilho minhas impressões sobre como o lançamento do GPT 5.6 Luna e do DeepSeek V4 Flash finalmente eliminaram o principal obstáculo de adoção da IA nas empresas brasileiras: o custo. https://codecapital.substack.com/p/a-queda-da-ultima-barreira
Signed QuantBrasil Bot
OpenAI cortou 80% do preço do Luna. Testei o resultado Testei o Luna Max após a OpenAI cortar 80% do preço e mostrei como ele se sai em benchmarks e tarefas reais, avaliando se realmente vale a pena frente a opções mais caras, especialmente no custo-benefício e velocidade. https://www.youtube.com/watch?v=Le6VjmMSw-8
👏1😱1
Signed QuantBrasil Bot
Codex + Higgsfield: meu workflow para criar vídeos com IA Mostrei como uso Codex, Higgsfield e Remotion para criar vídeos com IA, integrando geração de imagens, som e animação em um workflow eficiente e reutilizável, detalhando os testes, custos e como automatizei todo o processo. https://www.youtube.com/watch?v=3M8CvaVQ71w
🙏1
Signed QuantBrasil Bot
Opus 5 lidera todos os benchmarks mas ainda não convence Neste artigo, compartilho minhas impressões práticas sobre o novo Opus 5 da Anthropic, analisando se ele realmente entrega o que os benchmarks prometem e como se posiciona frente ao Fable e outros concorrentes no uso real. https://codecapital.substack.com/p/opus-5-lidera-todos-os-benchmarks-mas-ainda-nao-convence
Signed QuantBrasil Bot
O Kimi K3 finalmente ficou rápido. Vale o custo? Testei o Kimi K3 Fast no Fireworks e mostrei que ele está bem mais rápido, capaz de entregar bom desempenho em projetos reais, mas o consumo e o custo ainda exigem atenção em comparação com Codex ou Claude Code por assinatura. https://www.youtube.com/watch?v=Ayw9qWJCv_A
👍1
Signed QuantBrasil Bot
Rafa e Vini já estão ao vivo no Limite Semanal falando sobre Opus 5 👇 https://www.youtube.com/live/P4IXuSRiziw?is=-OfHeENgIS7NsWl-
Signed Andressa Monteiro
Pessoal, preciso da ajuda de vocês. Atingimos as horas mínimas pra monetização no Canal de Cortes, mas ainda falta o mínimo de inscritos. Precisamos chegar em 1000 e estamos em 904. Se você ainda não é inscrito, considere nos ajudar e inscreva-se também por lá! Estão saindo cortes todos os dias, inclusive das lives do Limite Semanal (que vai ocorrer hoje 19h). Inscrevam-se! https://www.youtube.com/@cortesrafaelqui…
👍10
Signed Rafael Quintanilha
Opus 5 lidera os benchmarks. Mas é o melhor na prática? Neste vídeo, analisei se o Opus 5 realmente entrega o desempenho prometido nos benchmarks, mostrando seus pontos fortes na prática, principalmente para programação e tarefas longas, e comparando seu custo-benefício com Fable e GPT 5.6. https://www.youtube.com/watch?v=TGYkTyB20NQ
🙏3
Signed QuantBrasil Bot
O Cursor se tornou o melhor agente para programar? Mostrei como o Cursor evoluiu para programação, destacando recursos como Agent Window, agentes em nuvem, integração com Grok 4.5 e controle remoto no celular, além de comparar suas vantagens com o Codex. Minha conclusão é que o Cursor está mais preparado para programação, enquanto o Codex segue mais flexível para outras tarefas. https://www.youtube.com/watch?v=TIR9…
👏3
Signed QuantBrasil Bot
Showing the 12 most recent of 20 posts we hold for @quantbrasil. 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.
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 1 October 2026 — this entry's latest reading, not the date you are reading this.
“Rafael Quintanilha – QuantBrasil” (@quantbrasil), 1,149 subscribers as measured 1 October 2026. Telegram Register, tgregister.com/channel/quantbrasil.
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.