Compare prices across 134 million products from 454 stores
Public demand signals with stated budgets for indie developers
Stage
Not given
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Founded
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Based in
NL
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Pricing model
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Freemium
Pricing
Not given
Free access to trend board and public summaries. Paid options: Starter Pack $9 one-time (65 tokens), Value Pack $29 one-time (300 tokens), Bulk Pack $49 one-time (560 tokens). Subscriptions: Solo $9/month (60 tokens/month), Builder $19/month (180 tokens/month). Tokens used for idea validation (5 tok
Key features
AI-powered product comparison across thousands of stores
Automatic product grouping by EAN codes and specifications
Price history tracking
Ranking by price, quality and relevance
No account required for searching
Stock and availability information
AI voice search functionality
Category browsing with product counts
Comparison Shopping Service certification
Demand trend rankings by mention frequency and budgets
Opportunity scoring on heat, momentum, competition, and risk dimensions
Development briefs with MVP scoping and verification steps
Regional demand distribution analysis
Competitive landscape analysis with blue-ocean identification
Data sourced from multiple freelancing platforms
Daily data collection and automated trend publishing
Weekly and monthly trend reports
Category browsing across 21 canonical categories
What makes it different
Completely free for consumers with no account, paywall or hidden costs
Independent service where stores cannot pay for higher placement
AI automatically matches identical products across 454 stores
Compares 134 million products with daily updated prices
Focuses on helping users make the right choice, not just buy more
Budget-backed demand signals instead of vanity metrics like GitHub stars or social buzz
Real willingness-to-pay evidence from public tasks with posted budgets
Fully compliant and traceable raw task evidence with PII protection
Automated blue-ocean vs red-ocean analysis with competitor detection
Free public access to trend board and feature summaries without login