It's hard not to be taken aback by the amount of money consumers have been throwing at initial coin offerings (ICOs) lately. The new fundraising model allows developers to sell digital 'tokens' to raise money for decentralized projects. Two recent events highlight why there may be cause for concern. Earlier this month, web browser startup Brave made $35m in seconds selling its basic attention token (BAT).
Ethereum wants to create an ecosystem where everything works together seamlessly as part of its vision for a 'world computer' – and that includes the tokens required to power it. Launched in 2014 by a band of coders and an upstart teenager, ethereum was designed to make it possible for anyone to code nearly any type of app and deploy that on a blockchain. Many of these decentralized apps (or 'dapps' for short) needed their own token that could, among other things, be sold and traded easily.
How should a blockchain's performance be measured? As businesses begin asking this question in earnest, the open-source, Linux-led Hyperledger project has announced a new Performance and Scalability Working Group (PSWG) aimed at measuring how the various available blockchains will perform as their popularity and usage increases. Leading the effort is Mark Wagner, a senior principal software engineer at Red Hat who has 15 years experience in performance and scalability.
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 Obama AND Romney or Obama + Romney.
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, search for democrat OR republican to find results that refer to
Democrats and/or Republicans.
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".