I’ve been engaged on this challenge for just a little over 3 months. It initially began out as a Python script I ran for myself, however now it’s grown right into a platform that helps entrepreneurs and product builders uncover validated product alternatives.

What does it do?
It robotically finds product alternatives — which I’m calling “Sparks” — largely from Reddit (for now).

• Searches Reddit information from goal subreddits you specify
• Makes use of AI-powered evaluation (multi-model choice)
• Neatly categorizes alternatives (function gaps, workflow inefficiencies, consumer frustrations, market alternatives)
• Teams related Sparks utilizing embeddings
• Consists of MVP planning with reside market analysis and detailed evaluation

How does it work?

1. Outline your viewers
2. Course of information
3. Uncover Sparks
4. Construct an MVP from a single or a number of Sparks

The Scoring System:
Every Spark will get a number of AI-generated scores:

• Ache Degree (1–10): How a lot the AI thinks persons are fighting this concern
• Confidence Rating (0–1): How assured the mannequin is within the alternative
• Market Viability Rating (0–1): AI’s take available on the market potential
• Engagement Rating: Primarily based on Reddit dialogue velocity
• Remark Insights: Thread depth, consensus energy, top-level engagement

I’m nonetheless constructing it — at present engaged on higher similarity detection, extra market analysis options, extra information sources, superior analytics, and development detection.

Would love to listen to your ideas!