Building 0-1
💡 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
Second-Time Founder Anxiety
ryanhoover.me
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.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)
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.com
I don't have any 2024 startup predictions, but I do have a pocket guide for you ...
This was 100% inspired by YC's pocket guide.
H/T @mwseibel
The future is self-employed
New businesses formed in the US 🚀
2019: 3.5 million
2020: 4.4 million
2021: 5.4 million
2022: 5.1 million
Only about 1/3rd of the applications filed in 2021 are for businesses deemed likely... See more
KPtwitter.comHere's a common startup situation. A team busts their ass for months building the first version of their product. It's almost done. Now a big question emerges -- how do you get the first people to use your product? Hmm...
If you find yourself at this moment, then you are already in a bad... See more
andrew chentwitter.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