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Fiscal.ai
29% of Tesla's revenue now comes from non-automotive segments.
Energy Generation & Storage: 15%
Services & Other: 14%
What will this look like in 5 years?
$TSLA https://t.co/Snj79EEFcb
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29% of Tesla's revenue now comes from non-automotive segments.
Energy Generation & Storage: 15%
Services & Other: 14%
What will this look like in 5 years?
$TSLA https://t.co/Snj79EEFcb
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Offshore
Video
Dimitry Nakhla | Babylon Capitalยฎ
Chris Hohn on AI risk, moats, & disruption:
โThe world is changing so much that some of these moats, ๐๐ฉ๐ฉ๐๐ซ๐๐ง๐ญ ๐ฆ๐จ๐๐ญ๐ฌ, ๐๐ซ๐ ๐ฃ๐ฎ๐ฌ๐ญ ๐๐๐ข๐ง๐ ๐๐๐๐ญ๐๐ง ๐๐จ๐ฐ๐ง ๐๐ฒ ๐๐ and other disruption forces. So the forces of disruption are actually rising.โ
How does Hohn think about navigating that risk?
โYou really want something thatโs obviousโฆ ๐จ๐ช๐จ๐ฉ๐๐๐ฃ๐๐๐ก๐ ๐๐๐ง๐ง๐๐๐ง๐จ ๐ฉ๐ค ๐๐ฃ๐ฉ๐ง๐ฎ.โ
___
So what are barriers to entry?
๐๐ญ๐ซ๐ฎ๐๐ญ๐ฎ๐ซ๐๐ฅ ๐๐๐ฏ๐๐ง๐ญ๐๐ ๐๐ฌ ๐ญ๐ก๐๐ญ ๐ฆ๐๐ค๐ ๐ข๐ญ ๐๐ข๐๐๐ข๐๐ฎ๐ฅ๐ญ ๐จ๐ซ ๐ฎ๐ง๐๐๐จ๐ง๐จ๐ฆ๐ข๐ ๐๐จ๐ซ ๐๐จ๐ฆ๐ฉ๐๐ญ๐ข๐ญ๐จ๐ซ๐ฌ ๐ญ๐จ ๐ซ๐๐ฉ๐ฅ๐ข๐๐๐ญ๐ ๐ ๐๐ฎ๐ฌ๐ข๐ง๐๐ฌ๐ฌ.
Some of the most important ones ๐๐ฝ
๐๐ข๐ ๐ก ๐ฌ๐ฐ๐ข๐ญ๐๐ก๐ข๐ง๐ ๐๐จ๐ฌ๐ญ๐ฌ: Customers face real friction (cost, risk, workflow disruption) if they leave
๐๐ง๐ฌ๐ญ๐๐ฅ๐ฅ๐๐ ๐๐๐ฌ๐: Large embedded footprint that compounds over time
๐๐จ๐ฆ๐ฉ๐ฅ๐๐ฑ ๐๐: Deep patents, proprietary designs, or trade secrets
๐๐๐ญ๐ฐ๐จ๐ซ๐ค ๐๐๐๐๐๐ญ๐ฌ: Product becomes more valuable as more users participate
๐๐ง๐จ๐ฐ๐ฅ๐๐๐ ๐ / ๐ฉ๐ซ๐จ๐๐๐ฌ๐ฌ ๐ค๐ง๐จ๐ฐ-๐ก๐จ๐ฐ: Decades of accumulated expertise that canโt be shortcut
๐๐ง๐๐ซ๐๐ฌ๐ญ๐ซ๐ฎ๐๐ญ๐ฎ๐ซ๐ ๐ฌ๐๐๐ฅ๐: Massive physical or digital build-out thatโs hard to replicate
๐๐๐ ๐ฎ๐ฅ๐๐ญ๐จ๐ซ๐ฒ / ๐ฅ๐๐ ๐๐ฅ ๐ฆ๐จ๐๐ญ: Standards, certifications, or regulatory embedment
___
Hohn has emphasized that ๐ฒ๐จ๐ฎ ๐ฐ๐๐ง๐ญ ๐ฆ๐ฎ๐ฅ๐ญ๐ข๐ฉ๐ฅ๐ ๐๐๐ซ๐ซ๐ข๐๐ซ๐ฌ ๐ฐ๐จ๐ซ๐ค๐ข๐ง๐ ๐ญ๐จ๐ ๐๐ญ๐ก๐๐ซ.
๐๐ง๐ ๐ฆ๐จ๐๐ญ ๐ข๐ฌ ๐๐ง๐๐๐๐ก๐. ๐๐ญ๐๐๐ค๐๐ ๐ฆ๐จ๐๐ญ๐ฌ ๐๐ซ๐ ๐๐ช๐ง๐๐๐ก๐.
Examples ๐๐ฝ
$ASML โ Installed base, extreme IP complexity, knowledge moat, high switching costs, infrastructure scale
$FICO โ Regulatory embedment, network effects, switching costs, data advantage
$MSFT โ Switching costs, network effects, ecosystem lock-in, scale infrastructure
$SPGI โ Regulatory reliance, switching costs, network effects, brand trust
$AMZN โ Infrastructure scale, switching costs (AWS + Prime), ecosystem lock-in, data advantages
$ICE โ Regulatory licenses, switching costs, network effects, mission-critical infrastructure
$TDG โ Proprietary IP, certification barriers, sole-source positions, high switching costs
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๐๐จ๐ญ๐ญ๐จ๐ฆ ๐ฅ๐ข๐ง๐: ๐๐ฌ ๐๐ข๐ฌ๐ซ๐ฎ๐ฉ๐ญ๐ข๐จ๐ง ๐ฉ๐ซ๐๐ฌ๐ฌ๐ฎ๐ซ๐ ๐ซ๐ข๐ฌ๐๐ฌ, ๐๐ฎ๐ฌ๐ข๐ง๐๐ฌ๐ฌ๐๐ฌ ๐ฉ๐ซ๐จ๐ญ๐๐๐ญ๐๐ ๐๐ฒ ๐ฆ๐ฎ๐ฅ๐ญ๐ข๐ฉ๐ฅ๐ ๐ซ๐๐ข๐ง๐๐จ๐ซ๐๐ข๐ง๐ ๐ฆ๐จ๐๐ญ๐ฌ ๐๐ซ๐ ๐๐๐ซ ๐ฆ๐จ๐ซ๐ ๐ฅ๐ข๐ค๐๐ฅ๐ฒ ๐ญ๐จ ๐๐จ๐ฆ๐ฉ๐จ๐ฎ๐ง๐ ๐ญ๐ก๐ซ๐จ๐ฎ๐ ๐ก ๐๐ก๐๐ง๐ ๐.
___
Video: Money Maze Podcast (11/13/25)
tweet
Chris Hohn on AI risk, moats, & disruption:
โThe world is changing so much that some of these moats, ๐๐ฉ๐ฉ๐๐ซ๐๐ง๐ญ ๐ฆ๐จ๐๐ญ๐ฌ, ๐๐ซ๐ ๐ฃ๐ฎ๐ฌ๐ญ ๐๐๐ข๐ง๐ ๐๐๐๐ญ๐๐ง ๐๐จ๐ฐ๐ง ๐๐ฒ ๐๐ and other disruption forces. So the forces of disruption are actually rising.โ
How does Hohn think about navigating that risk?
โYou really want something thatโs obviousโฆ ๐จ๐ช๐จ๐ฉ๐๐๐ฃ๐๐๐ก๐ ๐๐๐ง๐ง๐๐๐ง๐จ ๐ฉ๐ค ๐๐ฃ๐ฉ๐ง๐ฎ.โ
___
So what are barriers to entry?
๐๐ญ๐ซ๐ฎ๐๐ญ๐ฎ๐ซ๐๐ฅ ๐๐๐ฏ๐๐ง๐ญ๐๐ ๐๐ฌ ๐ญ๐ก๐๐ญ ๐ฆ๐๐ค๐ ๐ข๐ญ ๐๐ข๐๐๐ข๐๐ฎ๐ฅ๐ญ ๐จ๐ซ ๐ฎ๐ง๐๐๐จ๐ง๐จ๐ฆ๐ข๐ ๐๐จ๐ซ ๐๐จ๐ฆ๐ฉ๐๐ญ๐ข๐ญ๐จ๐ซ๐ฌ ๐ญ๐จ ๐ซ๐๐ฉ๐ฅ๐ข๐๐๐ญ๐ ๐ ๐๐ฎ๐ฌ๐ข๐ง๐๐ฌ๐ฌ.
Some of the most important ones ๐๐ฝ
๐๐ข๐ ๐ก ๐ฌ๐ฐ๐ข๐ญ๐๐ก๐ข๐ง๐ ๐๐จ๐ฌ๐ญ๐ฌ: Customers face real friction (cost, risk, workflow disruption) if they leave
๐๐ง๐ฌ๐ญ๐๐ฅ๐ฅ๐๐ ๐๐๐ฌ๐: Large embedded footprint that compounds over time
๐๐จ๐ฆ๐ฉ๐ฅ๐๐ฑ ๐๐: Deep patents, proprietary designs, or trade secrets
๐๐๐ญ๐ฐ๐จ๐ซ๐ค ๐๐๐๐๐๐ญ๐ฌ: Product becomes more valuable as more users participate
๐๐ง๐จ๐ฐ๐ฅ๐๐๐ ๐ / ๐ฉ๐ซ๐จ๐๐๐ฌ๐ฌ ๐ค๐ง๐จ๐ฐ-๐ก๐จ๐ฐ: Decades of accumulated expertise that canโt be shortcut
๐๐ง๐๐ซ๐๐ฌ๐ญ๐ซ๐ฎ๐๐ญ๐ฎ๐ซ๐ ๐ฌ๐๐๐ฅ๐: Massive physical or digital build-out thatโs hard to replicate
๐๐๐ ๐ฎ๐ฅ๐๐ญ๐จ๐ซ๐ฒ / ๐ฅ๐๐ ๐๐ฅ ๐ฆ๐จ๐๐ญ: Standards, certifications, or regulatory embedment
___
Hohn has emphasized that ๐ฒ๐จ๐ฎ ๐ฐ๐๐ง๐ญ ๐ฆ๐ฎ๐ฅ๐ญ๐ข๐ฉ๐ฅ๐ ๐๐๐ซ๐ซ๐ข๐๐ซ๐ฌ ๐ฐ๐จ๐ซ๐ค๐ข๐ง๐ ๐ญ๐จ๐ ๐๐ญ๐ก๐๐ซ.
๐๐ง๐ ๐ฆ๐จ๐๐ญ ๐ข๐ฌ ๐๐ง๐๐๐๐ก๐. ๐๐ญ๐๐๐ค๐๐ ๐ฆ๐จ๐๐ญ๐ฌ ๐๐ซ๐ ๐๐ช๐ง๐๐๐ก๐.
Examples ๐๐ฝ
$ASML โ Installed base, extreme IP complexity, knowledge moat, high switching costs, infrastructure scale
$FICO โ Regulatory embedment, network effects, switching costs, data advantage
$MSFT โ Switching costs, network effects, ecosystem lock-in, scale infrastructure
$SPGI โ Regulatory reliance, switching costs, network effects, brand trust
$AMZN โ Infrastructure scale, switching costs (AWS + Prime), ecosystem lock-in, data advantages
$ICE โ Regulatory licenses, switching costs, network effects, mission-critical infrastructure
$TDG โ Proprietary IP, certification barriers, sole-source positions, high switching costs
___
๐๐จ๐ญ๐ญ๐จ๐ฆ ๐ฅ๐ข๐ง๐: ๐๐ฌ ๐๐ข๐ฌ๐ซ๐ฎ๐ฉ๐ญ๐ข๐จ๐ง ๐ฉ๐ซ๐๐ฌ๐ฌ๐ฎ๐ซ๐ ๐ซ๐ข๐ฌ๐๐ฌ, ๐๐ฎ๐ฌ๐ข๐ง๐๐ฌ๐ฌ๐๐ฌ ๐ฉ๐ซ๐จ๐ญ๐๐๐ญ๐๐ ๐๐ฒ ๐ฆ๐ฎ๐ฅ๐ญ๐ข๐ฉ๐ฅ๐ ๐ซ๐๐ข๐ง๐๐จ๐ซ๐๐ข๐ง๐ ๐ฆ๐จ๐๐ญ๐ฌ ๐๐ซ๐ ๐๐๐ซ ๐ฆ๐จ๐ซ๐ ๐ฅ๐ข๐ค๐๐ฅ๐ฒ ๐ญ๐จ ๐๐จ๐ฆ๐ฉ๐จ๐ฎ๐ง๐ ๐ญ๐ก๐ซ๐จ๐ฎ๐ ๐ก ๐๐ก๐๐ง๐ ๐.
___
Video: Money Maze Podcast (11/13/25)
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Offshore
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Quiver Quantitative
BREAKING: A pro-Trump Super PAC just filed massive ad spending against Thomas Massie.
This comes just hours after the new Epstein file release.
Look at this screenshot from Quiver: https://t.co/FxJ7K2VdQu
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BREAKING: A pro-Trump Super PAC just filed massive ad spending against Thomas Massie.
This comes just hours after the new Epstein file release.
Look at this screenshot from Quiver: https://t.co/FxJ7K2VdQu
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Offshore
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Moon Dev
since we cant use the twitter api to track sentiment
i am tracking HLP who is hyperliquids market maker
they turned $1,000 to $140,000,000 btw https://t.co/jblgpuPuat
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since we cant use the twitter api to track sentiment
i am tracking HLP who is hyperliquids market maker
they turned $1,000 to $140,000,000 btw https://t.co/jblgpuPuat
tweet
Offshore
Video
Startup Archive
Ben Horowitz explains the biggest mistake founders make pitching VCs
โThe big mistake people make is they try to appeal too much to the venture capitalists. Thatโll drive us crazy because itโs a little bit of a sign of anti-courage.โ
Ben shares an example of being pitched by founders who are conservative in their estimates because they know โVCs like conservatism.โ However, what VCs want to hear is what you actually believe โ not what you think they want to hear.
โAnything that shows a lack of conviction or courage or belief in what youโre doing is what always ends up worrying me. Either you believe it or you donโt. Either youโre committed or youโre not. Either you have the courage to build the company or you donโt.โ
Importantly though, as Ben points out, courage doesnโt mean that you donโt feel fear. He recalls the quote from boxing coach Cus DโAmato:
โThe hero and the coward both feel the same thing, but the hero uses his fear, projects it onto his opponent, while the coward runs. Itโs the same thing, fear, but itโs what you do with it that matters.โ
Video source: @kevinrose (2012)
tweet
Ben Horowitz explains the biggest mistake founders make pitching VCs
โThe big mistake people make is they try to appeal too much to the venture capitalists. Thatโll drive us crazy because itโs a little bit of a sign of anti-courage.โ
Ben shares an example of being pitched by founders who are conservative in their estimates because they know โVCs like conservatism.โ However, what VCs want to hear is what you actually believe โ not what you think they want to hear.
โAnything that shows a lack of conviction or courage or belief in what youโre doing is what always ends up worrying me. Either you believe it or you donโt. Either youโre committed or youโre not. Either you have the courage to build the company or you donโt.โ
Importantly though, as Ben points out, courage doesnโt mean that you donโt feel fear. He recalls the quote from boxing coach Cus DโAmato:
โThe hero and the coward both feel the same thing, but the hero uses his fear, projects it onto his opponent, while the coward runs. Itโs the same thing, fear, but itโs what you do with it that matters.โ
Video source: @kevinrose (2012)
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Offshore
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Fiscal.ai
Boeing reported 600 commercial airplane deliveries in 2025.
That's their highest figure since 2018.
Can Boeing get back to its former production levels?
$BA https://t.co/deegYQaQDf
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Boeing reported 600 commercial airplane deliveries in 2025.
That's their highest figure since 2018.
Can Boeing get back to its former production levels?
$BA https://t.co/deegYQaQDf
tweet
Offshore
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Moon Dev
i cant believe i showed this on the zoom today
there is no other quant in the world who will give as much as me
i believe code is the great equalizer https://t.co/hP3tGhE2UE
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i cant believe i showed this on the zoom today
there is no other quant in the world who will give as much as me
i believe code is the great equalizer https://t.co/hP3tGhE2UE
tweet
Offshore
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Fiscal.ai
Apple Services might be one of the best businesses in all of big tech.
Services Revenue: $113 billion
Services Gross Profit: $86 billion
$AAPL https://t.co/KcBRMO8vEF
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Apple Services might be one of the best businesses in all of big tech.
Services Revenue: $113 billion
Services Gross Profit: $86 billion
$AAPL https://t.co/KcBRMO8vEF
tweet