MaxBagger is an AI-assisted stock analysis platform that combines data, beliefs, and predictions to identify mispriced opportunities.
Brand identity, custom type, product design & implementation
Brand Director at Inlay
The product sits at the intersection of expertise and financial data. I built the visual system around the same idea, using references that connect traditional finance with machine-readable information.
AI-generated imagery trained on traditional financial engravings is passed through an ASCII artwork process, creating a visual language that feels both archival and computational.
The custom typeface is based on OCR-A, developed for early machine-readable banking documents. That history gave the brand a direct conceptual connection to the product.
The opportunity
Data is objective. Investing isn’t.
Investment decisions are shaped by assumptions, preferences, and expectations about the future, but most tools leave that thinking unstructured. MaxBagger turns a user’s thesis into something editable, measurable, and useful alongside market data.
Brand system
The identity uses the same tension as the product: human judgment meeting machine-readable finance.
Thesis builder
Users define their investment worldview through a structured system, then use it to evaluate a curated list of stocks.
The stocks
Once the thesis exists, the product makes the relationship between data and judgment visible.
Reflection
The central challenge was translating abstract concepts like belief and prediction into a clear interface without separating the product from its visual identity.
The result is one system: the brand explains how MaxBagger thinks, and the product makes that thinking actionable.