Ideas

Information Arbitrage

The concept behind information arbitrage is to find existing, nontrivial, niche topics, technologies, and ideas where web-search with relevant keywords does not find resources with reasonable explanations or implementations. There is an arbitrage opportunity to capture web traffic for those keywords by creating a better resource for the concept using modern web technologies, visualization techniques, software engineering, and search engine optimization. The new resource should reduce the time and effort required to find, understand, and create a working implementation of the concept. By delivering value to the finder, they are more likely to link to and share the resource, thus organically improve its ranking and bring more traffic. Niche topics draw traffic from niche audiences to market expertise or products relevant to the niche. It is also a method to enhance branding.

For example, we can apply information arbitrage to a mathematical idea by creating an online article that explains the central concepts accompanied by equations and illustrative figures, preferably using vector graphics. It is also possible to color distinct parts of the equations and associate them with different visualization elements and explanations to make comprehension easier. Each article should be related to a practical example or implementation using a high-level language such as Julia and the associated GitHub repository containing the code. Additionally, we can create more content formats to accompany the article, such as video and audio. We should cross-link all the content with each other. For example, there should be a link from the article to the code repository and vice versa. Finally, we need to add relevant keywords, title, URL slug, and summary for search engine optimization.

Good ideas often come up while studying or researching a subject. For example, here and here are some articles that I have written using the idea of information arbitraging. Furthermore, even though information arbitraging does not aim to invent new ideas, researching existing ideas may lead to new ideas or improvements.

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