No usable source links are available for this idea. Its signal notes and scores need independent verification.
Dual-income couples aged 50-58 claiming medical expense deductions for themselves, spouse, adult children, and elderly parents during year-end tax settlement know the principle that 'the lower earner should consolidate medical expenses for larger deductions,' but the variables are too complex to calculate optimal allocation on their own: the 3%-of-gross-salary threshold, separate calculation rules for catastrophic illness-designated medical expenses, linkage with dependent basic deductions, etc. Without optimal allocation, households miss $225-750 in annual tax refund differences.
Enter each family member's salary and annual medical expenses to automatically calculate 'who should claim whose medical expenses to maximize total refund.' First, it calculates the 3%-of-gross-salary threshold per family member to determine deductible amounts. Second, it applies the exception rule allowing separation of dependent basic deductions and medical expense deductions (dependents with income under ~$750). Third, it compares 2-3 optimal allocation scenarios with refund amount differences.
| N Novelty | 1-5 | How uncommon the service is in market context. |
| U Urgency | 1-5 | How urgently users need this problem solved now. |
| M Market | 1-5 | Market size and growth potential from proxy indicators. |
| R Realizability | 1-5 | Buildability for a small team with realistic constraints. |
| V Validation | 1-5 | Validation signal quality from competition and demand data. |
| Tech Complexity | / 40 | Difficulty of core implementation stack. |
| Data Availability | / 25 | Practical availability and cost of required data. |
| MVP Timeline | / 20 | Expected time to ship a usable MVP. |
| API Bonus | / 15 | Bonus for viable public API leverage. |
| Competition | / 20 | Signal quality from competitor landscape. |
| Market Demand | / 20 | Demand proxies from search and mention patterns. |
| Timing | / 20 | Fit with current shifts in tech, behavior, and regulation. |
| Revenue Signals | / 15 | Reference evidence for monetization viability. |
| Pick-Axe Fit | / 15 | How well the concept serves participants in a trend. |
| Solo Buildability | / 10 | Practicality for lean-team implementation. |