6/ Another implication of high failure rate: if you don’t invest in the follow on rounds of the ones that don’t fail, you impact your total returns significantly.
This is why most early stage funds reserve half their total funds as a follow on.
7/ Fot your personal portfolio treat early stage investing as an asset class with high risk, high returns nature.
Many investors keep 10-15% of their portfolio for early stage investing but I’m sure people like @naval or @balajis would have much more aggressive allocation
8/ You can see why startup investing is not for everyone:
- 10% portfolio
- 50 companies
- Reserve half for follow on
Taking minimum $10k as cheque size per startup, it means $10k * 2 * 50 * 10 = $1 million net worth.
9/ Which means if your net worth is less than this, it may not make sense to invest in startups.
Because of risk, startup investing is like “on” or “off” switch - you either commit to make a full portfolio or you avoid it.
10/ In contrast, public market index funds derisk at two levels:
- mature companies, less likely to fail
- inherent diversification
What’ll be really awesome is someone like @AngelList launches index funds for startups.
11/ That’s it!
Hope it helped.
I’m building my own startup investing portfolio, hence my curiosity.
If you know any good startup raising funds, send them my way with answers to the five questions listed here: invertedpassion.com/about/
12/ Correction:
The math says minimum net worth $10 million, not $1 million.
(Taking minimum $10k as cheque size per startup, it means $10k * 2 * 50 * 10 = $10 million net worth.)
13/ Also obvious things:
- Kiss your invested money goodbye as this is highly illiquid investment
- Only invest what you can afford to lose (get health insurance first and make a nest egg that’s safe and liquid)
- I am not a financial advisor :)
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All startups belong to an ecosystem that makes or breaks them.
(a 🧵 thread on this mental model)
1/ All startups live in an ecosystem where different businesses directly or indirectly support one another.
e.g in the case of the automotive industry, the ecosystem consists of car manufacturers, parts manufacturers, petrol stations, service centers, car insurance companies.
2/ All of them mutually support the entire ecosystem, which means the growth or decline of one business will directly impact all other businesses.
You've heard of AI. But have you ever heard of IA?
🚀🚀
Today, at @VWO, we're announcing a big shakeup of the A/B testing industry.
(a thread about our breakthrough innovation)
1/ Our mission to help marketing and product teams reduce the effort required for figuring what works best for their business
In 2010 we pioneered the DIY visual editor for business teams for editing webpages and creating their variations for A/B tests without involving IT teams
2/ That innovation cut the effort to launch an A/B test from weeks to hours
But, as anyone who has run an A/B test knows, you still have to wait for weeks in order to start getting statistical significant results about which version is better.
- How we fund 🧫 science today
- Why grants process is wasteful
- Using (partial) lotteries to fund science
1/ Writing grant proposals for raising funds takes a significant amount of time and, unlike papers, they aren't published in journals or valued for their scientific contribution.
2/ With grant rates now in single digits in many fields, scientists are spending more time raising funds than doing actual science.
1/ Imagine an economy that keeps on growing indefinitely.
It's essentially a non-zero-sum economy - as the pie becomes bigger, *everyone* becomes better as even a small percentage of a really large number is substantial.
2/ A capitalistic economy is a fantastic invention - entrepreneurs compete to give consumers more value cheaply.
Markets create incentives for innovation, and innovation helps the world become richer as over time more and more human desires are satisfied.