This blog began with my coverage of Haypp Group. What started as pure intellectual curiosity gradually turned into a deeper effort to understand how far revenue could be predicted in advance, and how those expectations could shape stock price reactions.

Over time, that work became increasingly refined. Quarter by quarter, I improved the underlying logic, the modeling, and the way I interpreted the data. The result has been a research process that has, so far, proven highly effective in anticipating Haypp’s performance and the market’s response.

The blog is now moving into its next stage. The underlying logic is approaching a point where it can be applied across a much broader universe of companies. As that rollout continues, the publication will gradually take on three distinct layers.

The first is legacy content: Haypp-related commentary, historical work, and occasional updates on my own investing.

The second is broader coverage: a growing set of companies where web traffic and alternative data appear to hold real predictive power. This is where the research engine expands beyond a single name and into a wider group of stocks where expectations can be tracked more systematically.

The third layer, which is still being developed, is the Pro tier. This will be the place where I surface the most interesting opportunities uncovered by the research. Rather than simply offering more content, the goal is to highlight the names, divergences, and situations that appear most meaningful.

At its core, this blog remains the same as when it started: an attempt to follow curiosity seriously, build better models over time, and turn scattered signals into something useful.

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