Overview
Adjusts restaurant ratings based on local competition using normal distribution
🍕 LocalBiteRank - See Restaurant Ratings Like a Local Tired of tourist traps with inflated ratings? LocalBiteRank reveals the real story behind restaurant ratings by analyzing local competition and normalizing scores based on what's actually available in each area. 🎯 What makes LocalBiteRank different: • Smart Local Analysis - Compares restaurants against their actual neighborhood competition, not global averages • Statistical Precision - Uses advanced normal distribution algorithms to reveal true quality differences • Review-Weighted Scoring - Gives more weight to restaurants with substantial review counts • Instant Insights - See adjusted ratings directly on Google Maps as you browse ⭐ Perfect for: - Food lovers seeking authentic local gems - Travelers wanting to eat where locals eat - Anyone tired of overhyped, overpriced restaurants - Discovering hidden culinary treasures in any city 🚀 How it works: Simply browse Google Maps as usual. LocalBiteRank automatically analyzes the restaurant landscape in your current view and shows you adjusted ratings that account for local competition. A 4.2-star restaurant in a competitive food scene might actually outshine a 4.6-star place with weak local competition! Transform your dining decisions from guesswork to data-driven discovery. Install LocalBiteRank and start eating like a local, everywhere you go. Works seamlessly with Google Maps - no setup required, just install and explore!
Details
- Version1.0
- UpdatedSeptember 11, 2025
- Offered byLocalBiteRank
- Size31.87KiB
- LanguagesEnglish
- Developer
Email
localbiterank@gmail.com - Non-traderThis developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.
Privacy
This developer declares that your data is
- Not being sold to third parties, outside of the approved use cases
- Not being used or transferred for purposes that are unrelated to the item's core functionality
- Not being used or transferred to determine creditworthiness or for lending purposes
