Lesson: thesis-driven investing
From Family Office to Venture Discipline
An editable example on turning regional conviction into clear investment theses, long-hold judgment, and disciplined portfolio choices.
Entrepreneurship Lab
Your Digital Toolkit
A practical guide beyond the podcast for testing ideas, learning from operators, and building with discipline.
Entrepreneurship Lab
Mini case studies
Founder lessons, operating principles, and leadership stories.
Lesson: regulation and local product
Building Fintech Across Borders
An editable example on scaling a financial product across Latin American markets without treating the region as one single playbook.
Lesson: customer obsession + data
Operating at Global Scale
An editable example on moving from regional experience into global roles where customer systems, data, and operating cadence matter.
Templates library
Templates library
A practical guide beyond the podcast for testing ideas, learning from operators, and building with discipline.
Business Model Canvas
Map customers, value proposition, channels, revenue, costs, and assumptions before writing a long business plan.
Pitch Deck (10 slides)
A concise investor-style structure for problem, market, solution, traction, business model, and ask.
Resume/CV (1-page)
A focused one-page format for internships, leadership programs, fellowships, and first operating roles.
Cold email to a mentor
A respectful outreach template that makes the ask specific, short, and easy to answer.
Recommended reading
Recommended reading
Founder lessons, operating principles, and leadership stories.
Eric Ries
The Lean Startup
A practical foundation for testing assumptions, learning from customers, and building in cycles.
Peter Thiel
Zero to One
Useful for thinking about differentiation, monopoly-like advantages, and contrarian insight.
Ben Horowitz
The Hard Thing About Hard Things
A sober look at operating when the answer is not obvious and leadership gets uncomfortable.
Podcast
Masters of Scale
Founder stories that connect ambition with systems, timing, and organizational learning.
Ben Thompson
Stratechery
Sharp analysis for understanding platforms, aggregation, AI strategy, and business models.
AI tools for students & founders
AI tools for students & founders
A practical guide beyond the podcast for testing ideas, learning from operators, and building with discipline.
Research & writing
ChatGPT / Claude
Draft outlines, pressure-test assumptions, summarize interviews, and improve written work.
Research
Perplexity
Explore market questions and collect source-backed starting points for deeper research.
Design
Canva
Create quick pitch visuals, social graphics, and simple brand assets before hiring design help.
Organization
Notion
Keep research, customer notes, experiments, and next actions in one operating workspace.
Presentations
Gamma
Turn structured notes into presentation drafts for class, demo days, or early pitches.
Automation
Zapier
Connect forms, emails, spreadsheets, and notifications without writing production code.
Career
Resume.io
Structure a clean resume draft before tailoring it to each opportunity.
Build your first idea
Build your first idea
A practical guide beyond the podcast for testing ideas, learning from operators, and building with discipline.
- Look for repeated friction in school, work, family business, or community routines.
- Write the problem in one sentence before naming a solution.
- Ask who loses time, money, trust, or opportunity because of it.
- Interview people who live the problem, not only friends who like the idea.
- Ask what they do today, what fails, and what they have already tried.
- Listen for urgency before asking if they would use your product.
- Draw the first user flow on paper or a whiteboard.
- Keep only the steps needed to solve the core problem.
- Name the assumption each screen or step is testing.
- Use a form, landing page, spreadsheet, or clickable mockup before building software.
- Measure whether people complete the flow without your explanation.
- Keep the prototype rough enough that you can change it quickly.
- Ask what confused users, what felt valuable, and what they expected next.
- Change one major assumption at a time.
- Decide whether to continue, pivot, or stop based on evidence.