I built a risk map that adapts to your worldview
Policy preference toggles are clever, but NeighborhoodScout already does risk aggregation.
Multi-factor equity risk model with classic factors, semantic LLM exposures, and residual factor discovery.
Open-source Barra alternative with LLM-derived factor exposures for quant portfolios.
Quant researchers, portfolio managers, finance developers
Barra · Axioma · Northfield
Policy preference toggles are clever, but NeighborhoodScout already does risk aggregation.
Spreadsheet replacement for team skill matrices, but HR systems like Lattice already solve this.
Factorization machines select optimal LLM sub-pools for each classification task.
Local Git analysis is nice but SonarQube and CodeClimate do more.
User-adjustable ranking factors in a space DuckDuckGo and Searx already dominate.
Digits, carries and constraints are exposed as manipulable pieces — you can seed a matrix, auto‑propagate constraints, step through passes, and reveal answers when stuck. The UI communicates the underlying algorithm (digit-level propagation on multiplication) clearly, but the app leans on the user to know the crypto context; a short walkthrough or example challenge would make it far more accessible to newcomers.