Entrepreneur · Author · Business Educator
Sahil Khanna
Sahil Khanna is an Indian entrepreneur, business educator, and creator known for Intellectual Indies and Lapaas. At Indies Education, he turns business research and operating experience into rigorous, practical lessons.
- 684
- Published lessons
- 1M+
- Primary-channel subscribers
- 2017
- Intellectual Indies founded
Background and practice
From engineering fundamentals to practical business education
Sahil’s published profiles describe a transition from chemical engineering into marketing and management. That combination—systems thinking from engineering and commercial judgment from business—continues to shape how he explains complex ideas.
He founded Intellectual Indies in 2017 and built it into a business-learning content ecosystem covering company case studies, startups, marketing, strategy, and candid founder conversations. He also founded Lapaas, a New Delhi digital-marketing and education business. Sahil describes his entrepreneurial journey as including the eventual exit from the agency he built.
Across workshops, courses, consulting, and digital media, Sahil’s work has reached students, startup founders, legacy-business owners, and operating teams. His primary Intellectual Indies channel has more than one million subscribers. Sahil’s public profiles describe a combined audience above two million across his content ecosystem, while Lapaas course pages report more than 140,000 entrepreneurs reached through its educational work.
At Indies Education, Sahil serves as author and lead educator. Every lesson is designed to go beyond definitions: readers should understand the mechanism, examine evidence and limits, apply a framework, and leave with an action plan and checklist.
Elsewhere
Profiles and source notes
Written by Sahil Khanna
Latest business lessons
Evidence-led chapters designed to move from understanding to action.
Managing Project Finances: Practical Project Guide
A rigorous guide to control project affordability and value through transparent baselines, forecasts, commitments, and change. Learn the core concepts through a distinct operating model, worked business case, measurement system, 90-day action plan, practitioner checklist, ethical limits, and field exercises designed for managers.
Business Testing in Projects: Practical Project Guide
A rigorous guide to design business tests that reveal whether a change works for users, operations, controls, and intended value. Learn the core concepts through a distinct operating model, worked business case, measurement system, 90-day action plan, practitioner checklist, ethical limits, and field exercises designed for managers.
Project Close Activities: Practical Project Guide
A rigorous guide to close a project without abandoning obligations, knowledge, benefits, records, or residual risks. Learn the core concepts through a distinct operating model, worked business case, measurement system, 90-day action plan, practitioner checklist, ethical limits, and field exercises designed for managers.
Rationalize Your Project Portfolio Responsibly
A rigorous, practical guide to turn a crowded project inventory into a coherent portfolio by testing strategic contribution, value, risk, dependency, capacity, option value, and stopping discipline. It combines a defensible decision model, a worked business case, implementation steps, measurement architecture, ethical guardrails, leadership questions, and field exercises for operators who need to turn analysis.
Cautious or Courageous? Calibrate Business Risk
A rigorous, practical guide to calibrate boldness to stakes, reversibility, downside, evidence, option value, and organizational resilience rather than rewarding fear or bravado. It combines a defensible decision model, a worked business case, implementation steps, measurement architecture, ethical guardrails, leadership questions, and field exercises for operators who need to turn analysis into coordinated action.
Howard Marks’ Second-Level Thinking Skills
A rigorous, practical guide to reason beyond the obvious first-order story by examining expectations, market price, consensus, second-order consequences, probabilities, asymmetry, and what must already be believed. It combines a defensible decision model, a worked business case, implementation steps, measurement architecture, ethical guardrails, leadership questions, and field exercises for operators who need to turn analysis.
Blindspot Analysis: Find What Decisions Miss
A rigorous, practical guide to identify systematically unseen risks, assumptions, stakeholders, incentives, data gaps, and failure paths through structured external challenge and evidence. It combines a defensible decision model, a worked business case, implementation steps, measurement architecture, ethical guardrails, leadership questions, and field exercises for operators who need to turn analysis into coordinated action.
Critical Thinking for Better Business Decisions
A rigorous, practical guide to evaluate claims, evidence, assumptions, alternatives, inference, and consequences with disciplined openness rather than reflexive scepticism. It combines a defensible decision model, a worked business case, implementation steps, measurement architecture, ethical guardrails, leadership questions, and field exercises for operators who need to turn analysis into coordinated action.
Reactive Decision Making Without Losing Control
A rigorous, practical guide to respond rapidly to genuine signals while preventing urgency, emotion, salience, and fragmented ownership from turning every event into uncoordinated action. It combines a defensible decision model, a worked business case, implementation steps, measurement architecture, ethical guardrails, leadership questions, and field exercises for operators who need to turn analysis into coordinated.
Linear Programming: A Practical Business Guide
A rigorous, practical guide to allocate scarce resources optimally under explicit linear objectives and constraints while testing feasibility, shadow prices, sensitivity, and model limits. It combines a defensible decision model, a worked business case, implementation steps, measurement architecture, ethical guardrails, leadership questions, and field exercises for operators who need to turn analysis into coordinated action.
Monte Carlo Analysis: Model Uncertainty Clearly
A rigorous, practical guide to represent uncertainty with defensible input distributions, dependency, repeated simulation, and decision-relevant output ranges instead of one deterministic forecast. It combines a defensible decision model, a worked business case, implementation steps, measurement architecture, ethical guardrails, leadership questions, and field exercises for operators who need to turn analysis into coordinated action.
Ten Common Decision-Making Mistakes to Avoid
A rigorous, practical guide to diagnose ten recurring failures of framing, evidence, alternatives, uncertainty, participation, commitment, execution, and learning. It combines a defensible decision model, a worked business case, implementation steps, measurement architecture, ethical guardrails, leadership questions, and field exercises for operators who need to turn analysis into coordinated action.