I’m Afraz, an independent builder working on Vect AI.

One consistent problem I kept facing while building and marketing products was deciding what to build or write next. Most teams rely on intuition, past data, or competitor copying — which often leads to wasted time and content that doesn’t convert.

To solve this for myself, I built the Market Signal Analyzer inside Vect AI.

The purpose is very specific: identify real, current market demand before committing resources.

Instead of brainstorming topics or guessing audience interest, the tool surfaces live market signals such as:

recurring user questions and pain points

emerging themes gaining attention

angles that show demand but aren’t yet saturated

This has been most useful when:

entering a new market with limited intuition

deciding which content or feature is actually worth building

avoiding weeks of work on ideas the market doesn’t care about

I’m not trying to predict the future or automate strategy. The goal is simply to replace assumptions with observable signals earlier in the decision-making process.

For those who prefer to inspect systems thoroughly, all public pages are visible here: https://www.google.com/search?q=site:vect.pro

You can explore the Market Signal Analyzer directly here: https://vect.pro/#/app/tools?tool=Market%20Signal%20Analyzer

I’ve also documented the broader system and reasoning behind Vect AI in detail here: https://blog.vect.pro/vect-ai-bible-guide

Curious how others here approach demand discovery today:

intuition vs data vs signals

what’s worked reliably

where tools like this become noise instead of insight

Happy to answer questions or discuss edge cases.