What Visitors Can Find on Benoit Essiambre's Personal Website

benoitessiambre.com is a personal site run by Benoit Essiambre. The welcome page is a short introduction to the author and a pointer to his writings and links, with an open invitation to stay and browse as long as you like. It is not a product site or a blog with a dated feed; the visible content is a single welcome page plus whatever writings and links it leads to.

What the Welcome Page Says

The page introduces Benoit Essiambre by name and states his interests: "anything mathy, including bayesian probabilities, information theory and machine learning." He notes a "somewhat dated master's degree in these sorts of things," and says the 2008 global financial crisis sparked an armchair interest in economics. He adds that he likes to find practical applications for this knowledge when building and positioning products. The page is signed with the year 2020.

That gives a visitor a quick sense of the author's background and the lens behind the writing: quantitative methods, probability and information theory, plus economics applied to product work.

Writings and Links

The page's own description is "Writings and links," so the site is organized around two things:

• Writings — the author's own pieces, presumably on the math, machine learning, and economics themes named on the welcome page.
• Links — pointers to related resources elsewhere.

The welcome page does not list individual article titles, dates, or categories, so a visitor should treat the welcome text as the entry point and follow the writings and links from there rather than expecting an index on the landing page.

How to Browse It

1. Open benoitessiambre.com and read the welcome text to see whether the topics match your interest.
2. Follow the writings and links offered on the page to reach the actual content.
3. Expect a low-pressure, personal format: the page explicitly invites you to stay as long as you'd like and says "It's no bother at all."

What It Is Not

Based on the page evidence, there is no indication of pricing, accounts, newsletters, or a comment system, and none should be assumed. The site reads as a static personal homepage rather than an active publication with a schedule. If you are looking for a specific essay or a current feed, the welcome page alone will not confirm it; you need to follow the writings and links.

Who It Suits

The site is a reasonable stop for readers curious about Bayesian probabilities, information theory, machine learning, or economics-adjacent product thinking from a personal, non-commercial perspective. If you need structured tutorials, current pricing, or a maintained archive, this page does not promise any of those, and you should look elsewhere first.