I’m building an AI analyst desk for retail FX traders.

The idea is to split the work of a real FX analyst desk across five LLM agents: macro context, setup comparison, risk review, specialist synthesis, and reflection/audit.

The product generates structured market reports that traders can use before making their own decisions. A report may include macro context, strategy candidates, risk notes, entry/SL/TP zones, invalidation conditions, and a suggested position idea. It does not custody user funds, and the current direction is decision support, not auto-execution.

The hard part is trust. The MVP is not fully finished yet, and in trading/finance it is very difficult to get people to try a new product without credibility. But to make the product trustworthy, I need feedback from real users.

I originally considered a mobile app, but switched to a web service to reduce friction. I’m also planning to make the alpha free.

If you were building this, how would you get the first 20–50 serious alpha users?

Would you: - publish weekly USDJPY reports first? - recruit from FX/algo trading communities? - DM small trading creators? - keep alpha invite-only? - make the product public before it is fully interactive?

I’m trying to avoid sounding like another “AI trading bot” and instead position it as an AI analyst desk that improves market analysis and decision preparation.

What would you do?