HealthHub.AI - Your Complete Health Care Hub - Sell Project
Listed January 19, 2026
About HealthHub.AI - Your Complete Health Care Hub
AI-powered lab analysis, nutrition, and fitness performance
Project details
Built with: REACT,TypeScipt,i18next,PostgreSQL,AI
Website: http://healthhub-ai.com
Video 1: https://www.youtube.com/watch?v=kh_Gydo03QU
Next step: <p>A buyer can take this project further by immediately activating the pre-configured Google Ads and Performance Max campaigns to drive high-intent traffic to the AI Lab Interpreter and Nutrition features. There is significant growth potential in:</p><ol><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span><strong>B2B Partnerships</strong>: Licensing the clinical co-pilot to nutrition clinics and fitness centers.</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span><strong>Feature Expansion</strong>: Integrating wearable device data (Apple Health/Google Fit) with the existing AI biomarkers.</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span><strong>Global Scaling</strong>: Leveraging the current serverless architecture (Vercel/Supabase) to expand into new international markets with near-zero additional infrastructure costs.</li></ol><p><br></p>
For sale
Asking price: $50,000 USD
What's included
Domain name, Source code, All related data, All related design work, Email account
Building HealthHub AI involved more than just selecting a powerful tech stack; it was designed with a specific philosophy of preventive and personalized health democratization. Beyond the React and Supabase architecture, here are the key non-technical pillars that shaped the project: ๐ Design Philosophy & Mission The core mission was to bridge the gap between clinical data (like lab results) and daily lifestyle (like meals and workouts). Contextual Intelligence: Most health apps either track calories or store medical records. HealthHub AI was built to be a "living assistant" where the Smart Chef doesn't just suggest recipes, but suggests them based on the specific deficiencies identified in your uploaded medical exams. Privacy-First "Lean" Data: The project follows a "Transient Data" philosophy. By leveraging Supabase's secure edge functions, the AI processes sensitive health information without permanently storing identifiable health markers in third-party LLM training sets, keeping the system aligned with international standards like GDPR and HIPAA. ๐ฅ Who is using it? While currently in its expansion phase, the primary user groups include: Biohackers and Data-Driven Athletes: Users who want to track their 1RM (One Repetition Maximum) and VO2 Max alongside their micronutrient intake. Chronic Condition Managers: People monitoring specific biomarkers (like glucose or cholesterol) who need daily dietary adjustments. The "Zero-Waste" Community: Users of the Smart Chef feature who want to reduce food waste by generating recipes from whatever they have left in their fridge. ๐ ๏ธ Related Tools & Ecosystem HealthHub AI sits in a fast-growing ecosystem of "AI Nutritionists." Related tools you might explore for inspiration or integration include: Samsung Food (formerly Whisk): Uses similar vision AI to recognize ingredients and suggest recipes. Viome: Focuses heavily on the "biomarker-to-nutrition" pipeline, though it requires specific microbiome kits. Cronometer: A leader i...
Reason for selling
I feel that the project requires skills that I do not necessarily have and would like to see someone else take over.
Project metrics
Average Monthly Visitors: Under 1K/mo
Average Monthly Revenue: Under $1K/mo
Average Monthly Downloads: Under 1K/mo