Nearly two decades ago, when he was a Meriden city councilman, Mike Rohde went to a program at Yale on transit-oriented development, or TOD, the notion of building homes and businesses around transit stops. There he heard officials from shoreline towns talk about the importance of housing near their railroad stations, something that “was not on the radar screen” at home because nearly everyone in the central Connecticut corridor commuted by car, he recalled in a recent interview.
We were looking for a house in West Hartford a quarter century ago, and were surprised to learn that houses closer to the town center were generally less expensive that houses further away. This made no sense to me. I could leave the car in the driveway, walk to stores, restaurants, town hall, gym, library, etc., and enjoy the safety that comes with other people walking by, and pay less? Where do I sign? Indeed, we bought a house in West Hartford Center.
Manufacturing cities that focus on a single product often struggle or implode when that industry goes away. Danbury is an exception. The “Hat City” is pretty far along at reinventing itself. Perched on Connecticut’s western border, Danbury isn’t well known in much of the state. Some are aware of its federal prison or its big shopping mall, or that, indeed, it was a place where they used to make hats.
Muck Rack makes it simple to find people, tweets, or articles that mention any name, keyword, company, hashtag etc. We've compiled this guide to help you make the most of your search.
Selecting a term
Start searching tweets, articles from media outlets, articles mentioned in tweets, journalists'
names, titles and bios with some suggested searches:
Companies or Topics (e.g. iPhone, Microsoft)
Phrases (e.g. "cloud computing") — use quotes to keep the terms together
Twitter handles (e.g. @username) — returns those who have mentioned or replied to
Names (e.g. "David Pogue")
Hashtags (e.g. #sxsw, #london2012)
Bio details (e.g. vegan, Olympics, father)
Muck Rack's Advanced Search allows for many boolean operators.
Find results that mention multiple specified terms, use AND or
+. For example, ensure each result contains both Elon Musk and Mark Zuckerberg by
searching Musk AND Zuckerberg or Musk + Zuckerberg.
Use the operators OR or , to broaden your search when you'd like either of
multiple terms to appear in results. (This is the default behavior of our search when no operators
are used). For example, results will contain either cake or cookie by searching cake OR cookie or cake,cookie
Use NOT or - to subtract results from your search. For
example, searching Disney will yield results about the Walt Disney Company as well as Walt Disney
World Resort. To exclude mentions of Disney World, search for Disney -World or Disney
When using one of these operators with a phrase, enclose it in quotation marks. For example, you can
find results about smartphones excluding Apple's iPhone 4S by searching smartphone -"iPhone
Exact case matching or punctuation
If you're searching for a brand name or keyword that relies on specific punctuation marks or capitalization, you can
find results that match your exact query by adding matchcase: before the keyword you're searching for, like matchcase:E*TRADE .
Use parentheses to separate multiple
boolean phrases. For example, to find journalists talking about having fun in Disney World or
Disneyland, search for ("disney world" OR disneyland) AND fun.
An asterisk can be used to search for any variation of a root word truncated by the asterisk. For example, searching for admin* will return results for administrator, administration, administer, administered, etc.
A near operator is an AND operator where you can control the distance between the words. You can vary the distance the near operation uses by adding a forward slash and number (between 0-99) such as strawberries NEAR/10 "whipped cream", which means the strawberries must exist within 10 words of "whipped cream".