The basic objective
A venture capital firm raises a pool of money from investors, then uses it to buy small, minority stakes, typically 10-30%, in young, unproven companies. It expects most of those bets to fail outright, a handful to survive as modest outcomes, and one or two to become large enough to return the entire fund by themselves. The company it invests in is called a portfolio company, and the money it holds each stake for is usually 7-10 years, far longer than most other forms of investing.
Buying stakes vs. buying companies
This is a different bet from private equity. A PE firm buys the whole company, usually one that's already profitable, and expects nearly every deal to work, just to varying degrees. A VC firm buys a small slice of a company that often has no profit, sometimes no revenue, and accepts that most of its bets will go to zero. Nobody at a VC firm is underwriting a 90% win rate.
Find the outliers → back them early → own enough to matter → let the winners carry the fund.
That one line is the mental model for the entire course. Every lesson from here on is really just asking "which part of that sentence are we looking at right now?"
| Ownership | Typical check size | Holding period | Expected win rate | |
|---|---|---|---|---|
| Venture capital | Minority stake, 10-30% | $0.5m-$20m | 7-10 years | 1-2 in 10 expected to succeed big |
| Angel investing | Minority stake, 1-10% | $10k-$250k | 7-10 years | Similar odds, much smaller checks |
| Bank lending | No equity, debt only | Any size | 1-7 years | Needs nearly every loan repaid |
| Private equity | Whole company | $50m-$500m+ | 3-7 years | Nearly every deal expected to work |
Checkpoint
- Venture capital: buying small, minority stakes in young companies, expecting most to fail and a few to return the whole fund.
- Portfolio company: a company a VC fund currently holds a stake in.
- Fund life: the years a fund holds its stakes, usually 7-10.
- Find the outliers → back them early → own enough to matter → let the winners carry the fund: the mental model underneath every lesson in this course.
If anything here still feels unclear, ask before moving to Lesson 2.