How We Score 440,000 Coffee Shops Using Data Completeness

Every directory faces the same problem: how do you rank places when you have no user reviews yet? When we built CoffeeTrove , a coffee discovery platform indexing 440K+ cafes worldwide, we needed a scoring system that works from day one -- before a single user rates anything. The Golden Drop Score Our approach: score data completeness, not opinions. Every cafe starts at 0 and earns points for each verified data field: Data Field Points Rationale Has name + coordinates 10 Baseline existence Opening hours present 8 Actionable for visitors Phone or website 5 Contactable Photos available 7 Visual confirmation Wheelchair accessible noted 5 Accessibility matters Internet speed data 5 Nomad-critical Specialty coffee tagged 5 Enthusiast signal Independent (not chain) 10 Bonus for local businesses Max possible: ~55 points from data alone + 10 point independent bonus. Chain Detection We built a three-tier badge system: Global Chain (Starbucks, Costa, etc.) -- 11 brands detected Local Chain (Blue