Self-hosted DCF workspace using Damodaran datasets, LLM narratives
Architectural split keeps DCF math deterministic while LLMs handle only research narratives.

Quick DCF wraps a compact DCF engine into a browser toolbar: type a ticker, tweak growth/WACC/terminal via sliders, and get an intrinsic-value vs current-price readout plus a 10-year FCF projection. It’s privacy-friendly (calculations local, no account) and small in size, but the idea isn’t novel — the win here is convenience and speed rather than a new valuation method. Watch the Yahoo Finance data dependency and the simplifications in the DCF assumptions if you plan to use it for real investing.
Retail investors, value investors, finance students, and anyone who wants a quick intrinsic-value check without signing up for a service
Architectural split keeps DCF math deterministic while LLMs handle only research narratives.
Separates agent research from deterministic valuation math—no hidden assumptions.
Five-dimension stock screener when Yahoo Finance and Finviz already cover this.
Another stock screener when Morningstar, Seeking Alpha, and Finviz already exist.
Select text, hit ⌘⇧T and the translated text is auto-pasted where you're typing — brutally simple and exactly the UX fix this tiny pain point needs. The BYO OpenAI/Claude key and local handling is the smartest privacy move here, but this is still an incremental utility rather than a new category; per-app presets, offline options, or smarter context handling would make it stand out.
This is the sort of practical infrastructure you actually want after an overnight bill shock: per‑tool isolated keys, cycle-based caps, model locks and instant revoke all enforced by a transparent OpenAI‑compatible proxy. It's smart engineering for a common pain, though it naturally centralizes traffic — so trust, latency and vendor access policies are the tradeoffs to weigh.