Deep company analysis
Most analysis arrives after the verdict – the company already won or already failed, and we work out why. I do it live: companies still in the window, where the category isn't settled, the product isn't finished, and the next two or three years decide whether they reach the top or fall short. I go as deep as the public record allows and land on a real view, while it still matters. Public sources only. Written with an operator's eye.
Egypt's first mass-market investment platform – 5.5M users and 40% of all EGX order executions. Thndr proved the Egyptian retail investor exists at scale. The open question: does it become a generational financial super-app, or a well-branded brokerage? The product decisions being made right now decide which.
The platform that turned "GTM engineering" from a job description into a job title – reaching $100M ARR in three years by betting that workflow, not data, is the moat. The $3.1B valuation prices in a platform future the current product hasn't fully built yet.
A solo-founded bootstrap that built one of the most widely used AI chatbot platforms without institutional capital. The question is not whether the business works – it does. The question is how high the ceiling goes.
Suggest a company. Upvote ones you want to see. I go where the signal is strongest – vote count is one input, not the only one.
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New analysis when something is worth writing about. No schedule, no filler.
Every piece here is built the same way. Public sources only – no inside access, no PR filter. Video interviews, product data, press coverage, app store reviews, filings where available. I work until I have a formed view, not just a summary of what I found. The view goes in the piece.
I focus on companies at a specific moment: the product isn't finished, the category isn't settled. The decisions made in the next two to three years will determine whether they become the reference point for their space – or something that got close but didn't cross. That's the moment I find most worth analyzing, and where an outside-in read has the most to say.