Parse notes
Of the seventeen $100bn corporations founded since 1990, eleven were in the U.S. and six in China. Is Europe priming itself for future success? It has the highest density of AI talent, the highest share of cited research publications, and a large student demographic studying computer science and engineering.
Great read on the tricky parts of creating value around generative AI for startups. While the incumbents are favored, finding your path and creating real value early is where startups can have a fighting chance.
The realm of 3D computing is emerging, with advancements in capturing, rendering, and displaying 3D content on various devices. While companies like Apple and Meta are pioneering this shift, the transition from 2D to 3D presents both opportunities for new immersive experiences and challenges in ensuring consumer adoption.
From task automation to writing code, AI is adding leverage to how we analyze customer data and build products. The key takeaway here is that AI is enabling people to do a lot more, and if you’re not using it, you’re likely going to get outpaced by the competition.
Frank Dale leads the Product Management team at SalesLoft. In this article, Dale breaks down the apps he can’t live without, including ProductBoard, Figma, Jira, Mixpanel, Pendo, and Looker.
We all think we know how stock based comp (SBC) works, but it never hurts to get a refresher on its impact on the bottom line. A quick read about the impact of SBC using Expensify as an example.
Up and to the right, right? Hear me out, down and to the left is the way. Say you want to grow 10x in three years, instead of thinking about the present day and how you’ll get to that goal, start with the goal and work backwards. This acts as a forcing function to shift your mindset away from the incremental and to the expansive.
Startups seem to be introducing Customer Success teams earlier in their journey. What used to be a post-Series A thing is now being introduced alongside your early paying customers. There’s often confusion across the organization as to what they really do. Are they a cost or profit center? Here’s how you can help ensure every department knows the value of Customer Success.
The bigger the mistake, the more clear you need to be with someone that they made it. Trying to be nice often involves sugar coating failure and this means you’re being unclear on the cause of the problem. Failure to tell people about their mistakes means you’re robbing them of learning.
AI is often misunderstood as a one-size-fits-all solution, but businesses need to recognize that it's merely a tool, and not every business requires it. Identifying genuine problems and needs should precede technology adoption, rather than trying to retrofit AI solutions where they may not be needed or beneficial.
We’re repeatedly taught that micromanagement is the root of all evil, but sometimes having a hand on the wheel isn’t all that bad if you know the problem space really well. It’s about knowing when you’re starting to annoy your reports.