Fincast

Highlights

• Supports DCF and multiple-based valuation workflows without forcing users into a spreadsheet.
• Pairs financial logic with Claude-generated forward assumptions to speed up first-pass modeling.
• Built as a usable investor tool rather than a demo-first AI wrapper.

Problem

Early-stage equity research often starts with the same slow loop: gather market data, build a first valuation, pressure-test assumptions, and decide whether the company deserves deeper work. Fincast compresses that loop without pretending the model is a final answer.

Build

The application combines a Next.js interface, real-time market data, valuation logic for DCF and exit-multiple workflows, and Claude-generated forward assumptions. The goal is a clean first-pass research tool: fast enough to explore, structured enough to keep the financial logic visible.