About MitHub
A community where people connect through what they can do · and become more valuable in the AI economy.
MitHub is a learning community for the AI economy: people learn AI, automation and revenue systems on real problems, build proof of work, and connect with companies that need those skills.
What MitHub is
MitHub started from revenue work inside real businesses: AI voice campaigns, enrichment, CRM automation and reporting for multi-location companies. The people doing that work had to learn it on the job, because no course taught it in the order it actually happens. MitHub turns that path into a university.
The journey is simple: Discover → Learn → Build → Create value → Prove → Earn → Improve. Our first faculty, the Faculty of Revenue Reverse Engineering, teaches how to follow the money backwards and build the systems that bring revenue in. The Faculty of the Music Business applies the same map to a catalog.
What we care about: tangible, measurable results · real connections · memorable experiences.
How MitHub makes money
Learning the foundations is free, and talent never pays a fee for getting hired. Companies bring in implementation talent through MitHub: the function, dedication, rate, start date and replacement terms go in a written proposal, per engagement. MitHub handles selection, administrative coordination and the person's continued training as set in each contract. Later-phase membership for talent is a separate, transparent decision whose terms are announced before anyone pays.
Team experience described on this site comes from work delivered through PTS AI, a separate company. Each profile states the person's own contribution.
Editorial principles
- Answer first. Every article answers its main question near the top.
- Original. We explain things in our own words, with our own frameworks and examples.
- Sourced. Factual claims and statistics link to the source we checked. We don't fabricate quotes, studies or numbers.
- No fake expertise. We never invent results, clients, availability or case studies. A published case study describes work that was delivered; its figures come from the account's own platform or CRM and carry their date and definition; the client has approved publication or is kept anonymous. A CRM stage is not a verified payment, and a reported status is not a re-verified one.
- Attribution without endorsement. When an idea comes from an author, we credit and link them. That does not mean they endorse MitHub.
- Useful over popular. Everything connects to becoming more capable: something you can understand, decide or build.
Who writes
Mauricio Esparza · GTM Systems Lead · Revenue Engineer · Founder of MitHub.
Corrections and updates
If something we published is wrong or out of date, write to contacto@mithub.club with the page and the correction. We fix confirmed errors and update the "Updated" date on the article.