Founders, be honest: are you building an idea AI gave you?

No judgment, genuinely curious. How many of us asked ChatGPT for app ideas at some point, then ended up building one of them, or half-building it? The line between "my idea" and "the model's idea" got blurry this year. Where did your current project actually come from?

748 views

Add a comment

Replies

Best

Building analytics platform () that brings real value to customers. Now using AI to validate and enhance the features we can offer. Idea didn't come from AI, instead a long term dream coming into reality now.

Mine wasn't AI-generated. The idea came from a real problem I wanted to solve, though AI has definitely helped a lot during the building process.

To put it bluntly, I see Large Language Models as a rubber duck or a colleague who interviews me to develop my ideas. Instead of giving me brand new ideas, they are partners who are available 24/7 to brainstorm on any specialized field.

I treat ChatGPT like another co-founder during brainstorming sessions. It helps challenge assumptions and uncover blind spots, but I never rely on it to decide what to build. customer conversations still carry far more weight.

this is exactly how I utilize it. AI can be a great catalyst but I treat my own ideas as the starting point

There's a good thing and a bad thing here. I built my first side hustle from an AI idea and it actually worked, I made money! This time I built , all vibe coded, but there aren't many users yet. It's honestly not about the idea, it's all about how you distribute it. The worst part about vibe coding is that it feels like you're making progress every day, but really it's just another way of hitting your dopamine.

Not at all! I actually have a huge backlog of my own ideas, some of which I've been sitting on for 10 years.

For me, AI isn't an idea generator; it's an execution multiplier. It finally allows me to bring those old ideas to life, especially using languages I only know on a surface level but are perfect for the job (like Rust or Go). It’s an absolute game-changer for quickly throwing together a Proof of Concept just to see if the idea actually works and feels right in practice.

No..a genuine problem that we were irritated about.. i.e. making systemic judgement into an algorithmic platform so users can find the risks in their plans.. taking ideas from AI simply means one lacks experience that puts them into problems that need solving.. example cassandra was born due to scalability concerns with sql.. similarly there are many problems today that need solutions..

Mine came from a friend, not a model. He runs a 12-person shop and got 230 applications for one junior role, most of them AI-written, and spent two full days reading them by hand with no HR team. The problem was so concrete I could not not build it. I use AI heavily to BUILD, but the idea was a real person's pain. I think that is the tell: if you can name the specific human who has the problem, it is probably yours; if you can only describe a market, it might be the model's.

 Name the human vs describe a market is the cleanest test in here. AI can only ever hand you a market, it's never sat across from the angry person. That's why its ideas feel plausible and empty at the same time.

Not necessarily. Mine was based on my own need. I built an app I needed after being laid off. You get in the mode where you're actively applying for jobs and your inbox just fills up that trying to track it all is pretty difficult (at least for me).

 Building with an inbox full of rejections is hard mode. Respect

Models don’t have ideas, they have probabilities. So they are unable to create new ideas. I’ve been brainstorming my ideas with the models, not GPT, Claude is better. But for new ideas they have to come from you. If something does not exist already, the model will not invent it. This is”still” ours to be creative.