Product Introduction

1. Longist is an AI-powered longevity toolkit designed to analyze how dietary choices impact lifespan through photo-based meal scanning and nutritional science. It translates food consumption into quantifiable lifespan effects using research from leading aging laboratories and universities. The app provides real-time feedback on how each ingredient or dish adds or subtracts minutes from a user’s healthspan.
2. The core value of Longist lies in shifting nutritional focus from calorie counting to lifespan optimization, aiming to extend users’ healthy years by up to 13 years. It combines AI-driven meal analysis with personalized guidance to help users make data-driven decisions aligned with longevity science. The tool integrates with Apple Health to adapt recommendations based on real-time biometric data while maintaining strict user privacy.

Main Features

1. Longist uses AI to analyze photos of meals, restaurant menus, or product barcodes, identifying ingredients and calculating their cumulative impact on lifespan using peer-reviewed nutritional data. The system processes mixed dishes and complex meals, breaking down overconsumed or underconsumed nutrient groups in seconds.
2. The app provides real-time longevity scoring, displaying results as added or subtracted minutes of healthy life based on the Harvard-developed Health Nutritional Index and a database of 5,800 foods. Users receive immediate feedback on how each meal affects organ systems like the heart, brain, and gut.
3. Longist offers an AI Longevity Coach (premium feature) that delivers personalized dietary adjustments and habit recommendations based on consumption history and HealthKit metrics. The coach adapts guidance to users’ activity levels, sleep patterns, and biometric trends for precision optimization.

Problems Solved

1. Longist addresses the lack of actionable, science-backed tools for translating daily food choices into measurable lifespan outcomes, replacing vague nutritional advice with quantified longevity metrics. It eliminates guesswork in understanding how specific ingredients or dishes affect long-term health.
2. The product targets biohackers, longevity enthusiasts, and health-conscious individuals seeking to optimize their healthspan through data-driven nutrition. It serves users who track biomarkers like HRV, glucose levels, or sleep but lack equivalent precision in dietary analysis.
3. Typical use cases include scanning restaurant menus to identify longevity-boosting dishes, analyzing homemade meals for nutrient imbalances, and correlating dietary patterns with HealthKit metrics like heart rate variability or step counts. Users also leverage the AI coach to adjust meal timing and portion sizes based on activity data.

Unique Advantages

1. Unlike calorie-tracking apps, Longist measures food impact through a lifespan lens using the Health Nutritional Index, a peer-reviewed model from Nature Food studies. Competitors focus on weight management, while Longist prioritizes cellular health and disease prevention metrics.
2. The AI recognizes complex, multi-ingredient meals and restaurant dishes without manual input, a capability absent in most nutrition apps. Menu scanning functionality provides instant longevity rankings for entire restaurant menus, enabling informed choices in social dining scenarios.
3. Longist’s competitive edge stems from direct integration with aging research from 18 institutions including Harvard’s Sinclair Lab and the Buck Institute, ensuring algorithm updates align with cutting-edge longevity science. Unlike cloud-based alternatives, all health data remains device-local via HealthKit integration, meeting strict privacy demands of biohackers.

Frequently Asked Questions (FAQ)

1. How does Longist calculate minutes added or lost from my life? Longist applies the Health Nutritional Index, a model developed from 5,800 food studies, to estimate how nutrients affect disease risk and mortality. The AI cross-references meal components with lifespan impact data from institutions like the Karolinska Institutet, weighting results by portion size and user biometrics from HealthKit.
2. Is Longist science-backed? Yes, Longist’s algorithms incorporate research from 18 leading aging labs including the UCSF Bakar Institute and MIT’s Glenn Center. The core nutritional model derives from a Nature Food study validated through epidemiological data on 6.2 billion food servings. Methodology updates occur quarterly as new peer-reviewed findings publish.
3. What do the longevity scores mean? Green scores indicate ingredients that reduce oxidative stress/inflammation or boost NAD+ levels, adding healthy minutes through mechanisms like telomere protection. Red scores reflect components linked to accelerated aging biomarkers (e.g., advanced glycation end-products). Yellow scores denote neutral or context-dependent impacts requiring AI coach consultation.