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Fetch demographic info using natural language (llm makes the api call based on user input)
Create digital twin of targeted demographic
Visualizations of spending/earning/portfolio/etc
LLM predicts specific spending based on demographic spending/earning data + demographic data (what restaurants do they go to, what products do they buy, etc)
Download reports (pretty PDF, but also JSON for import/export)
Import report from JSON
JSON import/export allows for easy sharing + no authentication required
"Day in the life" of the digital twin
"Price this product" for the digital twin based on demographic data + product data + market data + "what would you pay for this product" analysis from the digital twin's perspective - this is useful for marketers, bankers (financial products), fintech companies, advertisers, real estate agents, governments, small businesses who don't have the data to do this themselves
"What if" scenarios for the digital twin where you tweak market conditions and their spending/earning/portfolio/demographics/etc. (what if they make $100k more, what if they move to a different city, what if they change my spending habits, market crashes, inflation spikes, new legislation, etc)
Correlation insights ("spending increases when market volatility increases", etc.)
X vs Y comparison (spending vs income, spending vs portfolio, etc.)
Persona generation (create a story for the digital twin, describing their life, their spending, their earning, their portfolio, habits, dreams, financial goals, etc.)
DARK MODE
Tech Stack
Next.js
TailwindCSS
TypeScript
Shadcn/UI
Plotly Dash
GPT-4o
Framer Motion
Asset Classes
Stocks
Bonds
Commodities
Real Estate
Cash
Cryptocurrencies
About
Financial digital twin software built for Finhacks 2025. Won 1st place & $1000.
