Hot in Enterprise IT/VC - What’s 🔥 in Enterprise IT/VC #437
👇🏼 this… There is no board meeting I’m in now where using AI to get more efficient is not discussed! Here’s an excerpt from a recent one - this slide or some form of it has showed up in every single meeting the last few months. Here’s an example of how you can use AI to operationalize your GTM - AI as a true partner from lead gen to outreach to pre call to post call. To be clear, this is not a young founder versus more experienced founder vibe. In fact, it’s the 2nd and 3rd timers who are often the most adamant about this - they are just so pumped to have the opportunity to build differently this time, more efficiently, and wiring the AI Native company from inception. While every existing company is rethinking about wiring AI into their workflows, it’s obviously much better to do it from Inception! The latest batch of companies at YC shows the extremes: And exactly as I stated a year ago! As always, 🙏🏼 for reading and please share with your friends and colleagues. Scaling Startups#benchmark data from Pete Walker Carta on ownership after various rounds of investment - VC is not free which goes back to the earlier post - many founders I meet also want to raise as little as possible to get as big as possible - will AI help change the equation? #“Mira Murati’s Stock-Option Strategy Pays Off With Recruits” - (The Information)
#when I started in the biz 3 decades ago, endowments were the gold standard. Fortunately there are lots of other pockets of institutional capital as Meghan highlights one huge concern #🤔 read the 🧵 - lots of interesting charts Enterprise Tech#🤯 best products sell themselves… #❤️ this for all of those 🦄 birthed during ZIRP! More on the story from the press release:
#another 9 year old 🦄 positiniong itself as an AI leader - points to my Goldilocks startups thesis - the ones who may win in the world of AI, not the startups, not the incumbents but…read here! #super classy from Glean founder, unlike the thesis of verticalization of SaaS, he lays out why horizontal platforms matter and why Glean can be that new horizontal giant #all you need to know about the OpenAI agent building tools and multiagent framework 🧵 #Manus, the first generalized AI agent, broke the internet last weekend - watch, pretty amazing…who needs a $20k research agent from OpenAI when you have this and oh yeah, will release open source version later this year 10 more insane Manus agent examples #turns out Manus is an amazing wrapper for Claude and other products…🧵 #more on agents from Aaron Levie at Box - not just reimagining existing workflows but also what new areas can agents attack?
#imagine the software maintenance for this 🤯 #to my point Markets#great overview of state of markets from Redpoint Logan Bartlett - this plus many more 💎 #state of the enterprise software world 🎢 #Recession vibes??? (WSJ)
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What’s 🔥 in Enterprise IT/VC #436
Saturday, March 8, 2025
Debating the future of SaaS + what many VCs are thinking... ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
What’s 🔥 in Enterprise IT/VC #435
Saturday, March 1, 2025
Time to $5M ARR for AI startups 🤯 is 24 mos vs. best of SaaS at 37 months - peeling the onion 🧅 back... ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
What’s 🔥 in Enterprise IT/VC #434
Thursday, February 27, 2025
2025 - notes from a LP AGM - the short version of what LPs and VCs are thinking... ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
What’s 🔥 in Enterprise IT/VC #428
Saturday, January 11, 2025
The truth about building in AI according to Sam Altman - "there is no one at all who can tell you exactly how it should be done" ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
What’s 🔥 in Enterprise IT/VC #427
Saturday, January 4, 2025
The 15 year startup journey and implications for founders and investors ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
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