Original data on the AI economy.
Research others can check, reuse and cite. No report is published until its data and method are ready.
In preparation
State of Revenue Engineering
How companies staff, build and measure revenue systems: roles, tools, team structures and what gets automated first.
mithub.clubGTM Engineer Salary Report
Compensation for GTM and Revenue Engineering roles from real, published job postings — by seniority, region and remote status.
mithub.clubAI Automation Jobs Report
Which automation and AI implementation roles are being posted, the skills they ask for and how that changes quarter to quarter.
mithub.clubRemote AI Jobs in Latin America
Remote AI, automation and GTM roles open to LATAM talent: requirements, time-zone expectations and contract types.
mithub.clubClay Workflow Library & Benchmark
Documented Clay workflows (enrichment, signals, scoring) with inputs, logic and measured outcomes.
mithub.clubn8n Automation Library & Benchmark
Production-grade n8n workflows for revenue teams, with error handling patterns and reliability notes.
mithub.clubAI Skills Demand Report
The AI and automation skills employers ask for, mapped to the MitHub learning path.
mithub.clubHow MitHub research works
- Method before headline. Every report states its sources, sample, collection dates and limitations.
- Primary data. Job postings, public filings and systems MitHub has documented itself — never invented or estimated without saying so.
- Open by default. Summary tables are published so others can verify and reuse them, with attribution to MitHub.
- Updated, not abandoned. Recurring reports keep their URL and show when they were last updated.
Want to contribute data or collaborate on a report? Write to contacto@mithub.club.