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GLP-1 obesity medications like Wegovy and Mounjaro experience intermittent stockouts due to global supply instability. Patients on these medications need to secure their next injection on schedule, but when their regular pharmacy/clinic is out of stock, they must call multiple locations—averaging 3–5 calls and 1–2 hours. Gaps in dosing reduce efficacy and require an additional ramp-up period.
Pharmacies and obesity clinics register their GLP-1 medication inventory, and patients can search for nearby pharmacies with stock based on their medication and location, plus set restock alerts. Pharmacies receive demand forecast data to optimize their ordering timing.
| 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. |