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Andrew Rogers
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Andrew Rogers
@adrewrogers
Individual investor and software engineer @amazon. I publish investment research and annual track record. Not investment advice.
Austin, TX Katılım Kasım 2024
63 Takip Edilen1.6K Takipçiler

@GabGrowth I think you are asking the wrong question. The right question is what is the usage pattern and who are their customers.
OAI is running a freemium business with 1 billion users, with very low sub attach rate in sub 10 million.
Most of Anthropic's customers are paying them.
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This begs the question… how is Anthropic profitable already?
Also, we recently heard news of OpenAI at Adj. Operating Margin of -122%.
Is there really such a huge difference in the efficiency between the 2 leading model providers?
Citrini@citrini
It’s already happening.
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Thoughts on investing.
The truth about investing is something that Warren Buffett demonstrated intentionally over the Berkshire letters.
Over the long-term as investors, we earn the returns on capital that our investments earn.
Reference:
- berkshirehathaway.com/letters/2018lt…

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@JustinRTipton Yes I think it requires that they can reinvest at high rates as well.
Without the growth ROIC stays high because the companies pay dividends/buybacks but that nets out to much lower returns than the ROIC.
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@adrewrogers I think it's that simple too. Where it gets complicated to me are the companies like AAPL that have run out of ideas to deploy new capital. An ROIC of 20% doesn't mean much when your capital employed hasn't gone up for five years, your returns are coming from something else.
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@dorb2sQ The true question is what is the ROIC in 10 years and how long can it keep growing, which of course we don't know the answer to.
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@adrewrogers While it is correct, it should be said that it mostly depends on the very long term average ROIC. Now we should ask if $DLO has enough runway to invest capital or whether in 15 years their returns will be the same.
And BTW specifically for $DLO I believe ROE is a better metric :)
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@GabGrowth I think that the right answer is something in the middle with position sizes weighted by downside risk.
The key insight I have had if you choose idea 1 over idea 3, you may think idea 1 is better from a projected ROI.
But you don't truly know idea 3 was worse.
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@GabGrowth I have had the opposite experience; I have taken a core 3 position portfolio and swung very hard at $DLO, $AMZN, $CELH
What I can say:
1. Because of this approach I have missed huge winners; $MU is an example
2. The volatility is extreme; my portfolio regularly has 30-50% swing
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One mistake i’ve continuously made is not swinging harder when the opportunity arrives.
Over the past few years alone, I’ve had several multi-baggers from $HOOD, $HIMS, $COIN, $SE, $SOL and others. (5x-19x returns)
They have typically ranged from 6%-20% positions. While they have returned well, few have been needle movers.
For instance, $HOOD was a 6% position, returning 19x at the top, with a blended return of 11x as I trimmed on the way up. 11x is an incredible return, but it ultimately resulted in only a +66% contribution to portfolio gains which I believe is disappointing.
As such, I have been thinking hard over the past few months on portfolio allocation and sizing of positions. Currently, I have 13 positions with the largest being ~16%.
While that is sizeable, I do wonder if swinging even harder at the best opportunities I can find is the optimal solution here. Of course, there is survivor bias involved where I have been pretty successful in my picks.
However, in cases where I find extremely asymmetric reward/risk, I do wonder if I should be more aggressive.
Ultimately, just some late night thoughts that I continue to ponder on. Would appreciate if anyone has a different view on this to share.
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