intro
I built ThreddlQ after wasting months chasing “cool” SaaS ideas that nobody actually wanted.
So I asked: what if I could tap into real conversations where people are already frustrated?
That’s what this does:
→ Scans Reddit threads
→ Extracts real pain points
→ Turns them into validated SaaS ideas
No more guessing. Happy to answer anything + would love your feedback 🙏
As a solo founder, getting the "Right Idea" would be 80% of the problem. This is a feasible fix. What architecture or mechanism have you used ?
It’s built on a Semantic Clustering Mechanism. We use AI to extract 'monetization signals' from raw conversations, then group them into clusters using vector similarity (PGVector). It moves you from 'I have an idea' to 'I have 80 validated complaints with budget signals' in about 5 minutes. Perfect for solo founders who can't afford to waste 6 months on the wrong MVP.
This comment was deleted 5 months ago