EdTech/FinTech
Kaxanuk
Infrastructure for rigorous investment research in LatAm: software, analytics, on-demand research and quantitative training.
The problem
Investment research in LatAm carries two structural gaps: fragmented data with manual processes that don't scale, and a generation of professionals learning finance without the quantitative tools the global industry treats as table stakes. Kaxanuk attacks both.
Technical decision
- Products: Data Curator (Python library for investment data) and Backtest Engine — open the black box of data work and let the user own the method.
- Services: analytics and on-demand research for shops that don't want to staff their own quant desk.
- Education: Python Foundations, KN Hack (hackathon), custom projects — ~150 students and professionals reached so far.
My role
Member of the founding team and currently serving as AI Advisor. Operating design, financial modelling for the venture, product scoping and AI Augmentation.
Status
Active operation. Growth measured in projects shipped and professionals trained, not MAU.