The Timberwolves won again tonight—this time, against the Blazers:Listen: I’m not here to summarize the stats but man, that was an pretty impressive win against a Blazers team that could light up the scoreboard with their speed. Here’s what else stood out to me:There’s a lot to unpack from that tweet, so let’s break it down:First, the Timberwolves won their last five home games. Second, you add the three game winning steak at home to the last five, you get eight straight wins at home.
I wish I could be more involved—I have a lot going on in my life and, like I said, this isn’t a full-time job—so, mm, here’s what I’m going to do. Because the Howlin’ T-Wolf is a site that features populist Timberwolves perspectives, and I want to represent the voices of Timberwolves fans as often as I can, in each of my posts, I’m creating a segment that features the top Timberwolves topics on Twitter from outlets and fans alike. As well as highlighting interesting takes!
Here are the results of today’s game:I’m not here to recap the games. You could read about it elsewhere. What I’m here to do, and what I’ll be doing for every game, is document your reactions—yes, you Timberwolves fans!—-during the game and after the game. I may chime in as well if there’s anything more to be said, but my thoughts on the game are, for the most part, the same as yours.
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".