I'd love it if someone could dig up a copy of Digital Lantern's HyperCard based Digital Restaurant Guide (DRG) of San Francisco.

https://www.wired.com/1993/03/digital-guide-done-right/

>The Digital Restaurant Guide (DRG) from Digital Lantern is an elaborately layered HyperCard stack that has nearly 3,000 restaurant reviews of San Francisco eateries. The maps are geo-coded – when you type in two street names, the stack goes right to the map of their intersection. Restaurants are denoted on the map as little dots. […]

http://digitallantern.net/DRG.html

>Brief History of Digital Lantern

>In 1993 Mark Richard Beaulieu created the Digital Cities Restaurant Guide, one of the first computer restaurant guides as written of in Wired Magazine. The software featured geocoded and deep content for the 3,200 San Francisco restaurants[8] and eventually all 14,000 restaurants in the SF Bay Area. The interface was designed by Nathan Shedroff. Designed for Powerbooks, the software was sold by Apple Computer and affiliate stores, the content updated every season. The product was widely reviewed in the Bay Area; even Gary Wolf wrote of it in SF Weekly. Terry Winograd asked him to present the salient concepts of his innovative interfaces, predictions for emerging consumer deep personal content at an HCI seminar at Stanford University. For a synopsis of the lecture click here. Some of the Digital Lantern concepts and user interface are seen on Yelp.com.

>In 1996 Mark transferred Digital Cities assets to Vivid Travel Network and worked as their director of product development helping to develop a 25 language web-based international travel guide. Branded as Digital Cities the name was sold to AOL. When VTN dissolved, Beaulieu created the United States Restaurant Guide.

https://nathan.com/digital-restaurant-guide-application-desi...

>This guide to over 2000 restaurants in San Francisco and surroundings was developed especially for PowerBooks. Each restaurant is located by its geographic coordinates on the many maps. The product allows users to search for restaurants in a variety of different ways, including geographically, alphabetically, by food type, by rating, and from a list of “Bests.” Users are able to start and edit their own “Bests” lists and make changes to the data for their personal uses. The information includes ratings for overall performance, coffee quality, wine list, ambience, and service. Many menus are included, as well as prices, descriptions, hours, and parking information.