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
Co-founder and CFO. Operating design, financial modeling of the venture, product scoping.
Status
Active operation. Growth measured in projects shipped and professionals trained, not MAU.