The problem
Startup data is fragmented across founders, funding rounds, milestones, and verification sources, which makes structured evaluation nearly impossible.
For: Startup evaluators, analysts, and investment-style reviewers.
What I built
A backend and relational database for managing startups, founders, funding history, source-backed verification records, filtering logic, and evaluation scores.
The hard part
Designing the relational model so that diligence queries could answer evaluation questions, rather than merely storing rows about companies.
The tradeoff
Put the logic close to the database and the backend filtering layer, trading a flashier UI for a stronger structural claim.
What this does not do
- No live deployment; the system runs locally.
- Verification records are structural — the system stores the source, it does not itself check the source.