Continuous Learning_Startup & Investment – Telegram
Continuous Learning_Startup & Investment
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We journey together through the captivating realms of entrepreneurship, investment, life, and technology. This is my chronicle of exploration, where I capture and share the lessons that shape our world. Join us and let's never stop learning!
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Jeremiah A few trends I’ve been seeing at AI startup events in SF and Palo Alto (I go to 3 a week):

I hear of Computer vision being on a few roadmaps as this is how AI (GenAI) will see and connect with the world.
Numerous enterprise AI startups are collating disparate data sources for analysis and predictive modeling.
Niche use cases of AI for consumer productivity for every type of persona, some are clinching proprietary data as a moat.
LLM APIs are already table stakes, advanced teams don’t want to get commoditized, “GPT wrappers” are already out of style.
Many companies are being built by moonlighting employees who are on salary at FAANG companies, seek Angel round.
Some founders realize a scalable business model is also needed to win: network effects, viral effects, data effects, and more.
VCs are forming networks and informing each other on which startup shows potential and which are growing.
Most believe there is a very short window to be in front of this market: 12-36 months depending on the sector.
SF is the capital of AI; it looks like Palo Alto may be the second city in the region; we should know by Fall.