Building 0-1
A lot of advice I gave this batch was some version of noticing that one thing the company was doing was working, and encouraging them to prune everything else and focus on that one thing.
For example, it's reasonable to try 5 different ways to get users, but if one of them works best, you should probably pause the other... See more
Jared Friedmanx.comThis is the overall promise of your startup. Expert level performance through appropriate use of your software to speed up a defined part of a businesses’ key workflow.
Oji Udezue • Where to fish to land a Unicorn (in B2B SaaS)
The downside of lead generation businesses is that they can be a race to the bottom if they're in a crowded and competitive market. The barriers to entry are essentially aggregating supply (i.e. buyers of leads or businesses willing to pay for new customers) so there is little in the way of defensibility. The other downside is that they are very... See more
Marketplaces, Lead Generation, and Brokerages
We are an exceptional software development team. But, we now also need be an excellent customer development team. That’s why, in the first section of this doc, I said “build a customer base” rather than “gain market share”: the nature of the task is different, and we will work together to understand, anticipate and better serve the people who trust... See more
Non consensus approaches to picking businesses
Non consensus and right
hypothesis:
1. work feels bad (unmotivating, boring, hard) when we lack of focus
2. focus is upstream of energy, flow, fulfillment, progress, feedback loops
what's upstream of focus?
attention (presence) paired w/ agency (when our... See more
Jackson Dahltwitter.comJust as much as our job is to build something genuinely useful, something which really does make people’s working lives simpler, more pleasant and more productive, our job is also to understand what people think they want and then translate the value of Slack into their terms.
AI is like water.
Or more specifically, generative AI applications are like water. We've looked at hundreds of AI companies, and much like bottled water, many of them are the exact same under the hood.
This is just the reality: there will be 100 teams trying to do what you are doing, in the same way you are doing it. True tech differentiation in AI... See more
Or more specifically, generative AI applications are like water. We've looked at hundreds of AI companies, and much like bottled water, many of them are the exact same under the hood.
This is just the reality: there will be 100 teams trying to do what you are doing, in the same way you are doing it. True tech differentiation in AI... See more
AI is Like Water
The fact that there is a newthing has come to feel like a certainty, even as we cannot fully perceive it. This will spark a search for underlying structures, analogs, and ways of being that feel natural to this newthing.
Does the newthing exist in this context or some other one?
Is it a newthing that’s meant to run all the time or is it more seasonal... See more
Does the newthing exist in this context or some other one?
Is it a newthing that’s meant to run all the time or is it more seasonal... See more