Editorially curated·Southern California
The five best places
in your neighborhood.
No pay-to-play. No bloated lists. Just five honest picks per neighborhood — ranked by combining real Google star ratings with how many people left them, so a 4.9 with twelve reviews doesn't beat a 4.6 with eight hundred.
50 rankings across 2 metro areas · 15 live
Recently updated
Metro
Los Angeles
30 rankings
Hollywood · Food & Drink
Best Tacos in Hollywood
Santa Monica · Food & Drink
Best Sushi in Santa Monica
Pasadena · Food & Drink
Best Mexican Food in Pasadena
Silver Lake · Food & Drink
Best Coffee Shops in Silver Lake
Beverly Hills · Food & Drink
Best Italian Restaurants in Beverly Hills
Downtown LA · Food & Drink
Best Pizza in Downtown LA
West Hollywood · Food & Drink
Best Brunch in West Hollywood
Koreatown · Food & Drink
Best Korean BBQ in Koreatown
Sawtelle · Food & Drink
Best Ramen in Sawtelle (Little Osaka)
Long Beach · Food & Drink
Best Burgers in Long Beach
Venice · Food & Drink
Best Vegan Restaurants in Venice
Manhattan Beach · Food & Drink
Best Date Night Restaurants in Manhattan Beach
Hollywood · Food & Drink
Best Thai Food in Hollywood
San Gabriel · Food & Drink
Best Dim Sum in San Gabriel
Pasadena · Food & Drink
Best Boba Tea in Pasadena
Beverly Hills · Food & Drink
Best Steakhouses in Beverly Hills
Coming soon
Santa Monica · Food & Drink
Best Outdoor Dining in Santa Monica
Coming soon
Los Angeles · Food & Drink
Best Breakfast Burritos in Los Angeles
Coming soon
Los Angeles · Shopping
Best Bookstores in Los Angeles
Coming soon
Pasadena · Food & Drink
Best Coffee in Pasadena
Coming soon
Downtown LA · Nightlife
Best Cocktail Bars in Downtown LA
Coming soon
Los Angeles · Activities
Best Hiking Trails Near Los Angeles
Coming soon
Hollywood · Nightlife
Best Speakeasies in Hollywood
Coming soon
Artesia · Food & Drink
Best Indian Food in Artesia
Coming soon
West Hollywood · Food & Drink
Best French Restaurants in West Hollywood
Coming soon
Long Beach · Food & Drink
Best Seafood in Long Beach
Coming soon
Pasadena · Food & Drink
Best Bakeries in Pasadena
Coming soon
Santa Monica · Food & Drink
Best Ice Cream in Santa Monica
Coming soon
Los Angeles · Food & Drink
Best BBQ in Los Angeles
Coming soon
Silver Lake · Nightlife
Best Wine Bars in Silver Lake
Coming soon
Metro
San Diego
20 rankings
La Jolla · Food & Drink
Best Sushi in La Jolla
Coming soon
Pacific Beach · Food & Drink
Best Tacos in Pacific Beach
Coming soon
San Diego · Food & Drink
Best Mexican Food in San Diego
Coming soon
North Park · Food & Drink
Best Brunch in North Park
Coming soon
Hillcrest · Food & Drink
Best Coffee Shops in Hillcrest
Coming soon
Little Italy · Food & Drink
Best Pizza in Little Italy (San Diego)
Coming soon
Mission Beach · Nightlife
Best Beach Bars in Mission Beach
Coming soon
Little Italy · Food & Drink
Best Italian Restaurants in Little Italy (San Diego)
Coming soon
Coronado · Food & Drink
Best Seafood in Coronado
Coming soon
North Park · Nightlife
Best Breweries in North Park
Coming soon
La Jolla · Food & Drink
Best Date Night Restaurants in La Jolla
Coming soon
Pacific Beach · Food & Drink
Best Burgers in Pacific Beach
Coming soon
Encinitas · Food & Drink
Best Vegan Restaurants in Encinitas
Coming soon
Encinitas · Shopping
Best Surf Shops in Encinitas
Coming soon
Encinitas · Food & Drink
Best Coffee in Encinitas
Coming soon
Carlsbad · Food & Drink
Best Bakeries in Carlsbad
Coming soon
Convoy District · Food & Drink
Best Ramen in Convoy District
Coming soon
Chula Vista · Food & Drink
Best Mexican Food in Chula Vista
Coming soon
Del Mar · Food & Drink
Best Brunch in Del Mar
Coming soon
Gaslamp Quarter · Nightlife
Best Cocktail Bars in the Gaslamp Quarter
Coming soon
The method
Why we don't just sort by stars
A 4.9-star restaurant with twelve reviews probably hasn't been stress-tested. A 4.6 with eight hundred reviews almost certainly has. We use a Bayesian weighted score that pulls small-sample places toward the local mean — so volume and consistency matter, not just an inflated average.
score = (v / (v + m)) × R + (m / (v + m)) × CR = the place's rating · v = its review count · C = mean rating across all candidates · m = a minimum-reviews prior weight (we use 50)