Holistic Life Cost Model

Standard personal finance tools only show cash flow — they miss the behavioral and physiological drivers behind spending and productivity patterns: bad sleep, a missed workout, a rough week. The obvious naive fix, manual logging of everything, is a well-known high-barrier pattern — the same one that kills diet trackers. Only the most dedicated people sustain it, and everyone else who’d benefit never builds the habit.

The idea pulls in non-financial life data from whatever exports are already available (health app data, mood/habit tracker exports) alongside financial data, and surfaces two things: surprising correlations worth acting on (“spending spikes two days after a bad night’s sleep”), and a cumulative cost narrative that makes the long-term stakes concrete (“poor sleep correlates with roughly $X in excess spending this year”). It would build on top of an existing personal finance project as the financial-data layer, using rule-of-thumb cost models refined against real personal data rather than jumping straight to anything statistically heavier.

Personal-first, with a possible later path toward sharing the model with family or opening it up more broadly once it’s proven on real data.