I built AIdeator because I was tired of spending 3 hours validating an idea I'd abandon in 3 days

Hey PH community 👋

I'm Richard, the maker of AIdeator — and I want to share the honest story behind why I built this.

The problem I kept hitting:
Every time I had a new product idea, my process looked like this:

• Spend 2–3 hours Googling competitors

• Try to piece together whether there was real demand

• Gut-check risk and decide whether to build

• Repeat this inconsistently every single time

It wasn't fast. It wasn't repeatable. And half the time, I'd skip validation entirely and just start building — which is how you waste weeks on the wrong thing.

What AIdeator does:
It takes a raw idea and outputs a structured report with three scored dimensions — Demand (0–100), Competition (0–100), and Risk (0–100) — benchmarked against 12 real SaaS reference products so you get a percentile rank, not just a number in a vacuum.

The thing I'm most proud of:
It's fully local-first. Run it offline with Ollama + DuckDuckGo and zero data leaves your machine. Or plug in OpenAI / Anthropic + Tavily / Exa for deeper signals. You control the entire intelligence stack.

It's also open-source (MIT) and lives in your terminal:

pip install aideator

What I'd love from this community:

1. What's your current process for validating an idea before you build?

2. What's the one thing that would make you trust an AI validation score enough to act on it?

Drop your thoughts below — genuinely want to learn from how other builders approach this. 🙏