Newton picked up the pebbles on his metaphoric beach with an intellectual objective in mind, but his ancestor in paleolithic times picked up real minerals because he enjoyed looking at them: quite inadvertently he started the chain of practice and craftsmanship and thought that led to the diversity of specialized materials and generalized theory today.
More like the early Homo sapiens than the sixteenth-century intellectual giant I have enjoyed a life of rather undisciplined wandering and search.
I want to show you that that Internet you used to go exploring is still very much there. There are still tons of small personal websites, and a wealth of long form text from both the past and the present.
So it's a search engine. It's perhaps not the greatest at finding what you already knew was there, instead it is designed to help you find some things you didn't even know you were looking for.
Million Short makes it easy to discover sites that just don't make it to the top of the search engine results for whatever reason – whether it be poor SEO, new site, small marketing budget, or competitive keywords. The Million Short technology gives users access to the wealth of untapped information on the web.
One of the best (and easiest) ways to start making sense of a document is to highlight its “important” words, or the words that appear within that document more often than chance would predict. That’s the idea behind Amazon.com’s “Statistically Improbable Phrases”:
Amazon.com’s Statistically Improbable Phrases, or “SIPs”, are the most distinctive phrases in the text of books in the Search Inside!™ program. To identify SIPs, our computers scan the text of all books in the Search Inside! program. If they find a phrase that occurs a large number of times in a particular book relative to all Search Inside! books, that phrase is a SIP in that book.
More than ever, people are choosing how to spend their time based on the amount of attention they can garner—and you and I are no exception. Everyone is susceptible to this logic. But what I want to argue in this piece is that tech startup founders are particularly susceptible to this tendency.
Working at and around startups for several years, I’ve noticed many founders prioritizing culture, visibility, and perception over product, customer development, and strategy. Maybe this is to be expected in a time where culture moves faster and is perceived as more important than ever. But I find it unusual that the tech industry seems unaware of a whole class of typical mistakes founders make in pursuit of cultural relevance.
Early stage companies often deal with questions like “Why don’t we have as much adoption as we’d like at this time?” “Why aren’t we driving enough sales?” “Why is our churn rate so high and how do we raise retention?” and my favorite, “Why do we have no users?”
There are many ways to address these issues, but I find that companies frequently—and incorrectly—identify their public presence as the way to solve them.