Table of contents

Child pages

Related pages

Build a following

Articles / videos on how building a following helped someone succeed

People who benefited from developing a following

Develop connections with people who are more likely be able to help you in the future

Articles

Try calling / emailing the person


Important: The types of projects that get you well-known may be very different from the types of projects that are viable companies.
- IMO Zuck is a great example of this, facemash would not have been a good idea for a company but it was a great way for him to get his name out there.

The battle of life is already half won by the young man who is brought personally in contact with high officials; and the great aim of every boy should be to do something beyond the sphere of his duties--something which attracts the attention of those over him.

Source: The Autobiography of Andrew Carnegie


http://en.wikipedia.org/wiki/Justin_Kan

Richard Branson has repeatedly used publicity stunts to raise awareness of businesses he was starting.

Build up your social presence: have lots of people know who you are.

Make / do something cool / controversial


Ideas:
A website-game that has you try to create passwords while following certain restrictions. And maybe you have to try to remember your passwords too.

Examples:

Gather interesting data


Examples:
- Those two MIT undergrads who gathered data on the relationship between spam emails and the stock prices of the stocks those emails were spamming about.
- If my understanding is correct, Larry Page downloaded the entire Internet (or attempted to) in order to test out his Google idea. That was data that no one else had. 
- Joel Greenblatt gathered interesting data as a college student that eventually helped him get a paper published:

Nearly a year after Graham’s death, Forbes magazine published a more detailed explanation of his formula in an article titled “Ben Graham’s Last Will and Testament.” The article seized the attention of Joel Greenblatt, then a 19-year-old college junior from Long Island who had left high school a year early to attend !e Wharton School. “A light bulb went off,” Joel said of reading the Forbes article. “I can’t tell you exactly what it was about it that made me very excited, but it had elements of the things I was interested in: how to look at companies, how to think about the stock market, how to do something with a formula that could actually make money. For whatever reason, that’s when I really got turned on to the stock market.”

The article inspired Joel to test Graham’s formula for a more recent period, from April 1972 to April 1978, a period that included both a severe bear market and a sharp recovery. He enlisted the help of two classmates, Bruce Newberg and Richard Pzena, to conduct this new study. “Joel was an intense, focused guy back in college,” remembered Richard, who now heads Pzena Investment Management, a $15 billion investment firm in New York. “But then and now, he had one of the most upbeat, enthusiastic, and decent dispositions of anybody I've known. He just made you feel like working with him was an honor.”

The historical data the three students needed for their research was not yet available in computer databases, so they sat in Wharton’s Lippincott Library with a stack of Standard & Poor’s stock guides. Starting with the A’s, they resolved to go line by line through the guides until they had collected a random and unbiased sample of companies. After several months of work, 750 stocks seemed like enough — although the students did not get as far into the alphabet as they had hoped. “We took just the A’s and B’s, which was a decent chunk of the universe at the time,” Joel remembered. “Physically, the three of us just couldn't do any more.”

The trio then entered their handwritten data into a DEC10, one of the few computers on campus at the time. “It took up an entire room, and was secured and climate-controlled,” Richard said. “You sat at a terminal and punched data onto IBM punch cards, and fed them into the computer for analysis.” They used the computer to back-test four model portfolios they had come up with, each based on slight variations of the same factors Graham himself had used.2 Just as Graham had, the students made no effort to evaluate individual companies, industries, or management teams and used only data that would have been widely available had they been managing the portfolios in real time.

The results were outstanding. Each of the four model portfolios beat its relevant index by over 10 percent a year after trading costs and taxes, and with only slightly more volatility. The top portfolio returned 29.2 percent per year, but any one of them would have beaten nearly every professionally managed portfolio over the same period.

Joel, who thought about one day becoming an author, wrote up their results as formally as he could and submitted the paper to several academic publications. One rejected it outright, and he heard nothing from the others until he got a letter from Peter Bernstein, who was then editor of the Journal of Portfolio Management. Bernstein agreed to publish the paper on one condition. “He said he loved the study,” Joel remembered. “But he added, ‘Could you please have someone who can write send it back?’” Joel duly made the language a little less formal, and the revised paper was eventually published in the summer of 1981.

Source: Santangel's Review (it's a really good article)

Join a school / club / business where you will meet people

If your product is for a wide audience, use publicity stunts to get widespread attention.