About
Range, applied with rigor.
Algorithme exists because the most valuable ideas increasingly live in the gaps between fields — and almost no one is standing in those gaps with the training to see clearly from more than one side.
I’m Mehdi. My background is an unusual combination, and that combination is the entire premise of this publication. I’m a physician-scientist and computational-biology researcher, a full-stack SaaS founder, and someone who takes the philosophy of science seriously rather than as a hobby.
Each of those worlds teaches a different discipline of thought. Held together, they make it possible to say things about business and technology that a pure operator, a pure researcher, or a pure commentator simply cannot.
Physician-scientist
Trained in medicine and computational biology — where you learn to reason about systems that are complex, adaptive, and unforgiving of pretty theories that do not survive contact with reality.
Full-stack founder
Built and shipped SaaS end to end. Not a commentator narrating from the sidelines — someone who has made the calls, carried the risk, and lived with the consequences.
Philosophy of science
Seriously engaged with how knowledge is actually made and justified. The habit of asking not just "is this true?" but "how would we know, and what would change our minds?"
Why this combination matters
Biology spent four billion years running the largest optimization process in history. Markets run a faster, noisier version of the same search. Machine learning is a third. The person who can read across all three sees patterns that specialists miss — and, just as importantly, knows which cross-disciplinary analogies are load-bearing and which are just clever.
That last part is the discipline the philosophy-of-science training provides: the refusal to be satisfied by an idea that merely sounds profound. Everything here is written to survive the question, how would we know if this were wrong?
What you’ll find here
Long-form essays and analysis across seven pillars — strategy, applied AI, marketing, future skills, tech and product, news analysis, and the cross-disciplinary deep essays that are the heart of the project. No hot takes, no engagement bait. The goal is to be worth the read years from now, not just today.
Read along.
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