Personalized vitamin packs, prescribed by your bloodwork.
VitaPack is a subscription service that turns blood test results into personalized daily vitamin packs. It is for health-conscious adults who want a simpler, evidence-informed routine without guessing which supplements to take. The product helps users upload or connect lab results, receive a tailored pack recommendation, and manage recurring deliveries with ongoing adjustments over time.
Busy Professional Priya, 34 - Priya is health-conscious, time-poor, and already gets annual bloodwork. She wants a straightforward way to act on her labs without researching every vitamin herself.
Fitness Enthusiast Daniel, 41 - Daniel tracks training, sleep, and nutrition, and he is comfortable paying for convenience if the recommendation feels credible. He wants his supplement routine to match his training load and blood markers.
Caregiver Elena, 52 - Elena manages her own health and helps organize wellness for her family. She needs a dependable service with clear instructions, low friction, and visible safety checks.
Priya gets her annual bloodwork and feels fine, but she never remembers which supplements she should actually take. She uploads her lab PDF to VitaPack, answers a few safety questions, and sees a personalized daily pack recommendation in minutes instead of spending hours researching online.
The plan shows why vitamin D, B12, and magnesium were included, while unnecessary extras are excluded. Priya subscribes, receives a monthly pack, and gets a reminder to retest in three months so her routine stays aligned with her labs.
For VitaPack, the value is repeatable revenue built on a high-trust health workflow. For Priya, the value is less friction, fewer unused bottles, and a clearer path from bloodwork to action.
Team & resourcing - Small team - 2 engineers, 1 designer, part-time product manager, part-time clinical advisor, and outsourced fulfillment ops.
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Build VitaPack, a subscription web app that turns blood test results into personalized daily vitamin pack recommendations and recurring shipments. Use Next.js 14, TypeScript, Tailwind, Prisma, PostgreSQL, Stripe, and Auth.js/Clerk. Core product: 1. Marketing site with clear health-safe positioning, pricing, FAQs, and CTA to upload labs. 2. Authenticated onboarding that collects email, age range, sex at birth optional, diet, goals, allergies, medications, pregnancy/lactation, and consent. 3. Lab intake flow with PDF/image upload and optional partner-lab connection placeholder. Parse key markers: vitamin D, B12, folate, ferritin, magnesium, lipid markers, and lab date. 4. Recommendation results screen that shows included nutrients, excluded nutrients, dosage, explanation for each ingredient, safety warnings, and a confidence indicator. 5. Subscription checkout with monthly cadence, taxes/shipping, and Stripe payment setup. 6. Member dashboard to view current pack, subscription status, shipment tracking, lab history, retest reminders, pause/skip/cancel, and profile edits. 7. Admin dashboard for manual review of uploads, recommendation overrides, and fulfillment export. Data model: User, HealthProfile, LabReport, LabMarker, Recommendation, RecommendationItem, Subscription, Shipment, ConsentRecord, SupportTicket, AuditEvent. Include versioned recommendation rules and store parsed marker confidence, lab source, lab date, and clinician-review flags. Implementation details: Use async processing for upload parsing with a job queue. Store uploaded files in S3-compatible storage. Use a rule-based recommendation engine service with conservative safety checks and upper-limit suppression. Add RBAC for admin and support roles. Add event tracking for upload started/completed, parse succeeded/failed, recommendation generated/accepted, subscription started, payment failed, shipment paused, and follow-up lab uploaded. Build responsive, accessible UI with large typography, high contrast, clear warning states, and fast progress feedback for uploads. Create seed data and a simple clinician review state for borderline or missing labs. Make the codebase production-ready with env-based config, validation, error handling, and tests for parsing and recommendation logic.
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