Teste LinkedIn pessoal (canais v2 §3): 4 posts de dado (EN)
Status: rascunho. Nada é publicado pelo Hermes; o Gustavo publica no perfil dele.
Calendário: ter 20/10 · qui 22/10 · ter 27/10 · qui 29/10 (manhã BRT = começo do dia nos EUA). Dia 14 = 02/11.
Imagens em linkedin-v2/img/ (geradas por linkedin-v2/gerar_imagens.py a partir de teste-a/data/dado_semana.json e sample.json, ambos de 18–19/10/2026). Para atualizar números no dia: ../teste-a/dado_semana.sh, ../teste-a/build.sh, depois python3 linkedin-v2/gerar_imagens.py.
Regras dos textos: sem link no corpo (o LinkedIn derruba alcance de post com link), sem citar produto/GringaOK (canal 2 ainda não ligou), um número por post, CTA = comentário.
Post 1 — ter 20/10 — carrossel (PDF post1-carousel.pdf, 5 páginas)
Como publicar: Start a post → ícone ”+” → Add a document → subir o PDF → título do documento: “What foreign companies hiring in Brazil pay, by stack”.
I’ve been tracking every remote engineering role from foreign companies that say they hire in Brazil or LATAM.
145 of them published a USD salary range. The median floor by stack:
AI/ML
150k · Back-end140k · Data128k · Platform105k · Full-stack86k · Front-end60kTwo things I didn’t expect: → Only 3% of the 5,156 roles I tracked publish a range at all. → Back-end floors beat full-stack by a wide margin.
Small samples on some stacks (n in the slides), so read it as a direction, not a salary table.
Which stack should I break down next?
Post 2 — qui 22/10 — texto + imagem post2-funnel.png
688 engineering jobs were posted as “LATAM remote” in the last 14 days.
I checked each one on the company’s own careers page. 42 were what they claimed: a foreign company, hiring directly, still open, actually remote.
Where the other 646 went: → 245 were consultancies or aggregators reposting someone else’s role → 124 were Brazilian companies → 84 were staffing / nearshore agencies → the rest had no direct apply link, had closed, or failed a quality check
If your search feels like 90% noise, it’s not you. It’s the boards.
What’s the worst “remote” posting you’ve applied to?
Post 3 — ter 27/10 — texto + imagem post3-open-time.png
How long does a remote role that accepts Brazil stay open?
Median: 46 days, measured on the company’s own ATS (Greenhouse, Lever, Ashby), where “gone from the board” really means closed.
But 21% close within 14 days, and 11% within a week.
So the playbook I’m using: apply in the first week for the roles you really want, and don’t panic about the rest. Most stay open for over a month.
Early data (19 closed roles so far), I’ll update as the sample grows.
Nota pro Gustavo (não publicar): n=19 é pequeno; o texto já avisa. Se até 27/10 o dado_semana.json tiver n maior, regenerar a imagem e trocar os números.
Post 4 — qui 29/10 — texto + imagem post4-not-brazil.png
35 of 131 open “LATAM remote” roles I checked don’t accept Brazil.
The job board says LATAM. The application form on the company’s site lists the countries, and Brazil isn’t there.
Of the 42 roles that passed every check, only 55% write “Brazil” explicitly. The rest say LATAM, Americas, or worldwide.
Cheap habit that saves hours: open the company’s application form and check the country dropdown before you write a single line of a cover letter.
Have you been burned by this one?
Checagem dos números (19/10/2026)
- Post 1:
dado_semana.json→ salario.n_com_faixa=145, pct_com_faixa=3, vagas_total=5156; medianas por stack (IA/ML 150000 n=6, Back-end 140000 n=15, Dados 128000 n=7, Plataforma 105000 n=12, Full-stack 86600 n=12, Front-end 60000 n=5; “Engenharia” 129000 n=84 entra só no slide como “General SWE”). - Post 2:
sample.json(gerado 18/10, janela 14 dias) → funnel latam_engenharia=688, empresa_gringa=232, com_link_direto=136, vivas_confirmadas=131, publicadas=42; company_kinds consultoria=245, br=124, staffing=84. - Post 3:
dado_semana.json→ tempo_aberta_ats n=19, mediana 45,7 d, p25 15, p75 88,8, 11% ≤7 d, 21% ≤14 d. - Post 4:
sample.json→ quality_removed nao_aceita_br=35 (de vivas_confirmadas=131), scorecard brasil_literal_pct=55 de n=42.
Medição
Baseline e método de recontagem: linkedin-v2-baseline.md. Dia 14 (02/11): Hermes reconta recrutadores (Gmail + LinkedIn) e lê seguidores/impressões no analytics.