Dimitris Kouvaros (🇬🇷) (@DKmitsos) header
Dimitris Kouvaros (🇬🇷) (@DKmitsos) profile picture

VP, Startup Banking at J.P. Morgan | Ex-SVB | Ex-WeWork | Diehard @Mets fan | Trying to make the world suck less

NYC
Joined October 2010
Photo by Dimitris Kouvaros (🇬🇷) (@DKmitsos)Photo by Dimitris Kouvaros (🇬🇷) (@DKmitsos)Photo by Dimitris Kouvaros (🇬🇷) (@DKmitsos)Photo by Dimitris Kouvaros (🇬🇷) (@DKmitsos)Photo by Dimitris Kouvaros (🇬🇷) (@DKmitsos)Photo by Dimitris Kouvaros (🇬🇷) (@DKmitsos)Photo by Dimitris Kouvaros (🇬🇷) (@DKmitsos)Photo by Dimitris Kouvaros (🇬🇷) (@DKmitsos)Photo by Dimitris Kouvaros (🇬🇷) (@DKmitsos)Photo by Dimitris Kouvaros (🇬🇷) (@DKmitsos)
Dimitris Kouvaros (🇬🇷) retweeted
United CEO Scott Kirby joins @benthompson and me to break down the airline business: justifying big capex, how they do route planning, what other CEOs screw up, the Starlink decision, why everyone misunderstands the credit card economics, and lots more.
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Dimitris Kouvaros (🇬🇷) retweeted
WhatsApp may be the statistically best app we've ever made. It's a product manager's dream with its unparalleled addictiveness (DAU / MAU) of 87% and stickiness (M1 retention) of 86%, both #1 in the world while having the #1 most monthly active users for any non preinstalled app of 2.7B users. Here are the top 25 most used apps in the world by MAU on both these metrics. Some surprising observations: — There are now 15 1B+ user apps in the world, 8 by Google, 4 by Meta. — The 3 that aren't are TikTok, Telegram (!) and ChatGPT — Telegram has more users than Spotify, Pinterest, Netflix, Amazon, Snap! — ChatGPT's one month retention is #5 after WA, Instagram, Chrome and Youtube. 2yrs ago, it was been #20 by M1 retention — Shopee, a shopping app in southeast Asia, is huge and retains users better than Amazon! Useful way to break down consumer businesses especially within certain categories (X vs Reddit vs Threads is a good one). It's shocking how few new apps have been able to break through in the past 10yrs.
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Dimitris Kouvaros (🇬🇷) retweeted
As agents become the biggest users of software, then all software has to be available in a headless fashion. Agents won’t be using your UI, they’ll be talking to your APIs. So the question becomes what is the business model of software and this headless approach in the future? Here are a few thoughts on how everything plays out based on what we’re seeing and doing at Box, but also conversation with other platforms. 1) Seats don’t go away for *people*. Seats are still a convenient and efficient way to have a customer use technology predictably for a set of users within a baseline set of usage. The key, though, is that when the customer pays for a seat, it has to come with a set of usage of APIs on behalf of that user that the agent can use on their behalf. The user will need to be able to interact with their data and the underlying tool via any agent they work with, and an embedded amount of usage will come with the seat. I would imagine most software -Box included- will enable seats to work with their data at a relatively high volume via systems like ChatGPT, Codex, Claude, Gemini, Cursor, Copilot, Perplexity, Factory, Cogniton, et al. quite seamlessly. If you don’t do this, you’re DOA. 2) Agents may have “seats” if they are doing stateful work in the system, but they will be priced very differently than people. Seats (or the equivalent) can make sense when you have an agent that has its own workspace, stores its own data, needs a different set of permissions compared to the user, and so on. If a company wants this agent to be around for long period of time, that may very well look like another “user” in the system. Openclaw-style agents highlight what this future could look like. The only issue on pricing here is that one customer could decide to do all their work in 1 agent, and another might split it into 1,000 agents. So pricing like a human seat is nearly impossible and impractical; each company will have a different approach for this as it gets tricky perfectly trying to capture all the value within an agent seat. 3) The dominant pricing for headless use that goes above the seat allotment, or when an agent is firmly acting on their own, will be a consumption model. Many enterprises software platforms have previously operated like this with PaaS options, and agents will look like another machine user of their system. In some cases the APIs might get priced just as they did previously, but in other cases there may need to be new types of APIs that represent the work an agent would do in one go -more akin to an outcome- instead of a series of API calls. This is especially germane when the headless software also has an agentic use-case embedded within in, such as orchestrating the process within their own system via AI. Overall the growth of this usage pattern is effectively unbounded as the use-cases for agents operating on data in these systems will dramatically exceed what people do with their data and tools today. Every platform that goes headless (which will be anyone that wants to take advantage of agents) will need to adopt a model like this. Some may fight it initially but it’s an inevitably as there will always be more and more agents outside your platform than people. Overall, there’s a lot of really interesting changes left to come in software due to headless use of these systems. Early days.
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Dimitris Kouvaros (🇬🇷) retweeted
NY is about to cost founders a million dollars…and the state even more NJ changed its QSBS rules recently and recognizes QSBS. Why in the world is NY going to push founders to move to New Jersey? Haven’t we learned that we compete with other states? Retweet to spread the word that we can’t let this happen
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Dimitris Kouvaros (🇬🇷) retweeted
Wild stat from StepStone about emerging managers: In 2021/2022 there were 938 managers who raised a Fund I Since then, only 190 subsequent funds have been raised by this group
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Dimitris Kouvaros (🇬🇷) retweeted
Instead of watching Netflix, watch this interview of Anthropic’s CEO
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Dimitris Kouvaros (🇬🇷) retweeted
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Dimitris Kouvaros (🇬🇷) retweeted
My rough math on which investors made the most money on OpenAI & Anthropic: 1. MSFT ~$224gain on OpenAI post-conversion 2. AMZN ~$83B gain on Anthropic 3. Thrive Capital $69B on OpenAI 4. Softbank $46B on OpenAI 5. Google $33B on Anthropic 6. Khosla $12B on OpenAI 7. Reid Hoffman $11B on Epstein & OpenAI 8. Fidelity $10B 9. Jaan Tallinn $10B (WTF EA is never going to die now) 10. Mubadala $6B on Anthropic via FTX 11. Menlo Ventures $6B on Anthropic 12. Lightspeed $6B on Anthropic 13. Dustin Moskovitz $4B on Anthropic (more than Asana lol) 14. Spark $3B on Anthropic 15. SK Telecom $3B 16. Eric Schmidt $3B on Anthropic 17. Founders Fund $3B on OpenAI 18. SAP $3B on Anthropic 19. Jane Street $2.5B on Anthropic 20. Tiger Global $2.3B on OpenAI
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Dimitris Kouvaros (🇬🇷) retweeted
Brian Chesky's vision for an AI-first world is miles ahead of the Silicon Valley narrative. Haven't seen it this clearly since Steve Jobs.
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Dimitris Kouvaros (🇬🇷) retweeted
Wait what
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Dimitris Kouvaros (🇬🇷) retweeted
Anthropic CEO Dario Amodei has said it’s important to talk about the potential dangers of AI. “If we don't, then you could end up in the world of the cigarette companies, or the opioid companies, where they knew there were dangers, and they didn't talk about them, and certainly did not prevent them."
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Dimitris Kouvaros (🇬🇷) retweeted
Full LP letter as PDF (link here) drive.google.com/file/d/1RZ7…
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Dimitris Kouvaros (🇬🇷) retweeted
Funny how OpenAI might have saved Google. At a party, an OpenAI guy named Dan challenged Sergey: “What are you doing? This is the greatest transformative moment in computer science,” and Sergey went right back into founder mode. Googlers probably love Dan. Sam probably not lol.
Is Sergey Brin’s return the real reason Google went from “way behind” to “easily #1” across AI domains in a year? Google’s best moves imo were: built TPUs in 2013; acquired DeepMind for $400M; bought Noam back. Most importantly, the competition from OpenAI awakened the monster.
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Dimitris Kouvaros (🇬🇷) retweeted
New tech, new moats. For the past 2 decades, the best moats were built on external forces: network effects & economies of scale. Cognition is different. It doesn't depend on one massive external system; it's about millions of microsystems—one per user. forerunnerventures.com/persp…
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Dimitris Kouvaros (🇬🇷) retweeted
Eleven continues to be a rare breed of products that appeal to the trifecta - enterprise, startup and consumers! (cc: @brexHQ & @shaig)
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Dimitris Kouvaros (🇬🇷) retweeted
Here it is: signatureblock.co/articles/s… Guest post by @stefanobernardi with a colorful table on fund concentration.
We've been on an hiatus with our investor newsletter, Signature Block. Publishing a new piece on a hotly debated topic later today. Subscribe: signatureblock.co
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That might have been the best inning in baseball history
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Dimitris Kouvaros (🇬🇷) retweeted
The AI flippening.
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