1/ draft kings and fan duel spend massively on CAC. so much so that they tried to merge in 2016 because they recognized that they were just bleeding each other to death (FTC blocked merger)
2/ the only way to justify large CAC is... large LTV. obviously
large LTV comes from large betting volume. obviously.
DK and FD don't care that you open an account and make a $100 bet. in fact, this is probably gross margin negative compliance costs
3/ DK and FD *need* to find people who are going to bet $10k+
well. who bets $10k+ on their first, or even 2nd, or even 5th bet?
basically no one. it takes time for people to ramp up betting size. i suspect years
4/ i think we can assume that someone who makes at least 30 bets is likely to keep on betting forever
so the question is, what set of markets are there in which a single person will make 30 bets?
5/ there is really only one answer: markets with regularity
sports is *by far* the best example of this. elections are super high profile, but extremely infrequent, and too fat-tailed in terms of attention and $
6/ the top markets on @Kalshi (which does not have US election markets) are around macro economic indicators: CPI prints, unemployment prints, will fed raise/lower rates, etc
obviously, all of these data points are released on a regular basis. so they map cleanly to betting markets
7/ i have made one bet on Kalshi: will openAI release GPT5 by EOY 2024 (i'm down mark to market)
Kalshi knows one thing about me: that I bet on this market
8/ naturally, they are trying to get me to bet on other related markets: nvidia earnings, anthropic release dates, anthropic benchmark scores, openAI BOD members, etc
i have not bet on any of those markets bc i felt 100% clueless about them
9/ let's consider what is probably the most high profile pop culture market: will travis kelce propose to taylor swift by EOY 2024
you could imagine a world in which millions of people bet on this bc it's fun
10/ but i suspect <1% of those people will convert into betting on related markets: taylor swift album sales, how long next taylor swift song stays at top of billboard, kelce's TDs in next game, etc
11/ this is the challenge with prediction markets that suffer from lack of regularity: no recurring bets, and so no LTV, and so you can't spend on CAC
12/ given how high profile @Polymarket has become both in crypto and mainstream press, we are getting a ton of pitches for new ways to approach prediction markets
most are focused on market structure mechanics (eg scalar markets, CLOBs, other derivs structures, etc)
13/ IMO those details are not the thing that matters most. what matters most is finding a set of *regular* markets that people can bet on that are currently underserved
14/ the most obvious category is esports. i am sure there are some prediction markets there, but i am not close enough to it to appreciate the dynamics of what has/hasn't worked, how to engage streamers, etc
15/ if you have some novel theories around prediction markets for some events with regularity, my DMs are open!
{fin}
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1/ Ownership is about *exclusion*. This is most clear when thinking about assets:
a) I have a $5 bill, and you do not. Therefore I can spend $5, and you cannot
b) I own a $1M piece of art. I don't lend it to the museum so that others can appreciate it. I keep it on the wall in my house so that only I can appreciate its beauty
2/ Ownership - aka exclusion - is why crypto maps to finance so well
0/ There's an old saying that fundraising is weird, bc the skills required to be good at fundraising are not the skills required to accel as CEO
I used to believe that
I no longer do
The entirety of the challenge of fundraising can be distilled to a single skill: communication
1/ There are two major facets of communication that are particularly important:
a) distilling information to the right level of abstraction
b) understanding context of VC and adjusting accordingly
i'll provide examples of both
2/
a) frequently, founders like to get into nitty gritty details of the product. precise features and tech decisions. these details are almost always irrelevant. the important questions that a VC needs to underwrite are about the market. hence, focusing on nitty gritty product details is presenting information at the wrong layer of abstraction
There is an inverse relationship between surface area of social coordination, and need for hierarchy
1/ Helium and Hivemapper work because surface area for social coordination is limited, and as such, require little hierarchy. Same generally holds for other DePIN / POPW protocols
2/ I think most of the the things that call themselves DAOs have far more surface area for social coordination, but also generally lack hierarchy, and that creates real challenge in many DAOs in getting things done