Product Hunting Agent
A CrewAI multi-agent system that mines Google Trends to surface high-potential product ideas with consistent or breakout interest.
- Industry
- E-commerce research
- Year
- 2025
The problem
Product research for e-commerce is hours of manually cross-referencing trend data, seasonality, and competition — and most of that analysis follows repeatable rules.
The approach
A multi-agent CrewAI system splits the work the way a research team would: one agent queries and normalizes Google Trends data, another scores candidates for consistent interest versus short-lived spikes, and a reporting agent compiles ranked product ideas with the evidence behind each pick.
The outcome
A research workflow that ran on demand instead of on someone's weekend — surfacing product candidates with breakout-trend signals and the supporting data to act on them.
Technologies
- Python
- CrewAI
- LangChain
- LLM agents
- Google Trends
Facing something similar?
A 20-minute call is enough to tell you whether this approach fits your problem — and what it would take.