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GLP-1 obesity medication users experience nausea and appetite suppression side effects that dramatically reduce food intake, raising the risk of protein and micronutrient deficiencies. Generic diet plans don't account for GLP-1 users' unique needs (small portions, texture preferences, dose escalation changes), and 70% of users experience nutritional imbalances leading to secondary issues like muscle loss and hair loss.
Input your GLP-1 dosing phase (escalation week), side effect type, and current intake capacity to auto-generate protein-priority, nutrient-dense meal plans. Plans update weekly and include recipes based on locally available ingredients, plus delivery food and convenience store meal recommendations.
| 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. |