Building 0-1
You and your ragtag team of engineers likely won’t be able to create something that is competitive with any big incumbent product.
However, you can build features, seed content, and brand it in a way that is so obnoxiously relevant for a particular group of people that their only possible reaction is “Well, fuck. You... See more
Nikita Biertwitter.comThe 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
I've been trying to create a "social network for makers" for the last 15 years with different approaches.
I made what was basically WIP multiple times 10+ years ago, but it failed each time. The reason is, that a super early, super small community has different needs from a later stage, larger... See more
Marc Köhlbruggetwitter.comThe hard part about figuring out what customers want is figuring out that you need to figure it out
💡 30 Ideas as we wrap @beondeck's 19th Cohort 💡
Here are 30 ideas about founders, startups, San Francisco, sales, fundraising, and more taken from the second half of the program — sourced from fellows, guests, and me (blame me for the ones you disagree with most vehemently… Show more
How to Get and Evaluate Startup Ideas | Startup School
youtube.comAI 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