EireQuant began as a solo build. That forced healthy constraints: decisions needed to be explicit, tests had to be fast, and the front end had to explain itself without a narrator. The longer I worked this way, the clearer it became that the same habits are exactly what you need when the team grows.
Collaboration is not about more hands on the same keyboard. It is about lowering the cost of handing off context. Clean data contracts, small PRs, and visible evaluation dashboards remove the need for long meetings and fragile �tribal knowledge.� The result is speed with fewer mistakes, because the process itself carries the detail.
The second benefit is intellectual surface area. Strong projects mix viewpoints: model design, market structure, data quality, and product thinking. That mix produces ideas neither discipline would land on alone. It also forces sharper writing, which is the best test of whether we actually understand what we built.
The plan is to keep opening the stack: clearer documentation, public post-mortems when experiments fail, and space for guest analysts with different lenses. The goal is not consensus for its own sake. It is better decisions made faster, backed by a process that new contributors can trust and extend.