Full course coming soon

Evaluating Early-Stage Startups and Deep Tech Ventures

7 chapters · 30 lessons

1. 1. Evidence Hierarchies for Startup Traction

   4 lessons

   Learn to distinguish between meaningful customer commitment and superficial validation signals.

2. 2. Deep Tech Risk Assessment Frameworks

   5 lessons

   Evaluate technical feasibility across hardware, infrastructure, and science-dependent ventures.

3. 3. Reading Market Signals from Accelerator Cohorts

   4 lessons

   Use batch composition and founder clustering to identify emerging technology bottlenecks and opportunities.

4. 4. Milestone Structures and Funding Readiness

   5 lessons

   Build stage-appropriate diligence frameworks that align capital with credible progress markers.

5. 5. Valuation Dynamics and Follow-On Funding Risk

   4 lessons

   Understand how early valuations shape future rounds and operational behavior.

6. 6. Competitive Intelligence and Technology Scouting

   4 lessons

   Build systems to track emerging companies, technology trends, and competitive landscapes.

7. 7. Applying Startup Evaluation to Internal Innovation

   4 lessons

   Transfer accelerator discipline to corporate product development and internal ventures.