Live data from Hacker News

Show HN: I built a 100% free startup idea generator

supalaunch.com

31–33 of 33 posts

Re: Show HN: I built a 100% free startup idea generator

#31

Ideas are cheap. Ask ChatGPT and it will give you dozens. Heck, ask almost any random person, and they will have business ideas. What's hard is (a) finding a good idea, (b) investing the time and effort to make it reality, and finally (c) marketing it successfully.

I have an idea for the PlayStation 6.

How to build it, the labor, the design, the marketing and the capital? Thats where you come in!

Classic Sacha Baron Cohen joke.

Re: Show HN: I built a 100% free startup idea generator

#32

In my 20's I thought startup was a quick way to make a million bucks. I had a list of ideas. Copied and spun others' ideas. Some of them made money but none was wildly successful. Now I'm older and money is less of an issue, I realized starting a business is more about finding the people you want to help, working with people you like, and being the right person to solve the problem at the right time.

True, finding that marginal p/m fit is hard. We interviewed 40 target customers and processed all the transcripts into an LLM to arrive at our MVP, still not sure it’s there because of the variables of competition and alternatives.

Re: Show HN: I built a 100% free startup idea generator

#33

In my 20's I thought startup was a quick way to make a million bucks. I had a list of ideas. Copied and spun others' ideas. Some of them made money but none was wildly successful. Now I'm older and money is less of an issue, I realized starting a business is more about finding the people you want to help, working with people you like, and being the right person to solve the problem at the right time.

True, finding that marginal p/m fit is hard. We interviewed 40 target customers and processed all the transcripts into an LLM to arrive at our MVP, still not sure it’s there because of the variables of competition and alternatives.

Why did you think weighted probabilities of words occurring together in past internet texts would somehow help you find a market fit idea inside a bunch of interviews?
Post reply on HN