Yazio Clone | Build an AI-Based Yazio Like Calorie Tracking App

By Suffescom Solutions

January 15, 2026

Create Calories Tracking App Like Yazio | Yazio App Clone

Key takeaways:

  • Our Yazio Clone includes features such as AI food recognition, lifestyle insights, micronutrient and macronutrient calculations, and integration with wearable device APIs. 
  • Health tech market future trends predictive analytics, health coaching, and voice-based interactions are integrated to create an app like Yazio.
  • Suffescom's business model for Yazio like app development solutions are modular architecture, a privacy-first approach, continuous AI improvement, and enterprise scalability.
  • The cost to build an app like Yazio at Suffescom ranges from $5,000 – $25,000, depending on features, AI integration, technology stack, and security and privacy compliance.

Consult for Proposal

Driven by rising rates of lifestyle disorders, increased adoption of preventive healthcare, and the growing use of mobile and wearable technologies, the calorie-tracking market segment is experiencing high growth.

Basic food logging apps have evolved into smart nutrition platforms that analyze diet patterns, user activity, and metabolic trends at scale. Yazio is a proven benchmark as a leading calorie tracking app development; it leverages structured nutrition data, subscription-based monetization, and behavioral insights to drive a scalable business model.

For businesses, investing in a Yazio app clone gets a validated blueprint to build an app like Yazio with predictable revenue, high retention, and extensibility across consumer and enterprise use cases. The growing reliance on AI and machine learning enables automated food recognition, adaptive calorie targets, and predictive insights in the Yazio app development.

This guide is the roadmap about how to build an app like Yazio, including feature scope, technology stack used, AI integration, and the cost to build an app like Yazio for businesses.

Understanding the Core Concept of a Calorie Tracking App Like Yazio

The names of Yazio mentioned in this blog are used for identification purposes only. Yazio clone not only has core functionalities and architecture replication, but it is an AI-based calorie and nutrition tracker that collects, processes, and analyzes activity and lifestyle data in real time.

Unlike other basic food logging apps, calorie tracking apps like Yazio use algorithms to calculate calories, nutrient distribution, and energy expenditure based on individual user profiles. The clone system converts raw user inputs into data-driven lifestyle insights to drive long-term growth and measurable health outcomes.

Business Value of Developing a Yazio Clone App

Yazio-like app development services offer strong commercial value through monetization models such as subscriptions, AI recommendations, and premium features, creating a recurring revenue stream for businesses.

Additional revenue streams are generated through custom or third-party and API integrations, as well as intelligent nutrition upgrades to products. For businesses planning to build an app like Yazio, seamless integration with the wellness ecosystem builds long-term ROI and justifies the overall cost to build an app like Yazio.

  1. Easy-to-use: A user-friendly calorie counter and food tracker for logging daily food intake and calories.
  2. Calorie deficit tracker: A feature that helps monitor calorie consumption and helps reach your weight goals.
  3. Easy tracking: Offers a huge food database to simplify meal logging and track efficiently.
  4. Smart calorie tracker with barcode scanner: A convenient scanner that allows users to quickly input food items by scanning their barcodes.
  5. Meal planning, food tracker, and personalized recipes: A functionality that aids in organizing meals and suggests tailored recipes based on dietary preferences.
  6. Integrated step and activity tracking: A built-in system to monitor physical activity and steps taken throughout the day.
  7. Water tracker with reminders: A feature to log daily water intake and send prompts to encourage hydration.
  8. No sign-up required: Instant access with immediate usability of the app without needing to create an account.
  9. Nutrition tools for men and women: Resources designed to cater to the nutritional needs of both genders.
  10. Regular updates: Consistent enhancements to the new calorie counter and calorie tracker features improve with time for better tracking and regular updates.
  11. Muscle building and weight gain: Support for healthy weight through guidance and tools designed to promote muscle growth and a healthy increase in weight.
  12. Long-term results: An emphasis on sustainable weight management instead of yo-yo dieting or short-lived dieting efforts.

Market Opportunity Analysis: Why Now Is the Right Time to Build an App Like Yazio

Factors such as smartphone adoption, increased health awareness, and the integration of wearables with fitness apps have driven strong growth in the global health and fitness app market, with a CAGR of 13.40% from 2026 to 2033. For businesses, a calorie tracking app like Yazio delivers high daily engagement and long-term usage.

AI is now enabling modern personalization, food recognition, and portion estimation, significantly improving data accuracy and user retention. For companies evaluating how to build an app like Yazio, AI-driven automation has become a key differentiating factor rather than an add-on.

Competitive Landscape: Yazio vs MyFitnessPal vs Lose It vs Cronometer

Yazio

Strong focus on user-friendly UX/UI, intermittent fasting, and goal-based calorie management. Yazio app development focuses on personalization and long-term engagement for businesses, building a scalable calorie tracking platform.

MyFitnessPal

A consumer-focused app with the largest food databases and strong brand recognition, with a complex interface, creates opportunities for simple, AI-driven alternatives in a Yazio app clone.

Lose It

Its advanced analytics and weight-loss features support user retention in B2B-oriented calorie-tracking apps.

Cronometer

A cronometer tracking platform with advanced users and professionals. The complexity and niche positioning make it more accessible for AI-powered nutrition platforms.

Why Build a Yazio Clone App?

Proven Product–Market Fit

Meets demand for calorie-tracking apps and reduces the risk of building an app like Yazio.

Subscription-Based Recurring Revenue

Opens long-term revenue streams through a freemium model, providing access to premium AI insights and analytics.

B2B and B2C Expansion

High growth potential for partnerships with gyms, insurers, corporate wellness programs, and healthcare providers seeking nutrition intelligence platforms.

Target Customers & Business Models

Direct-to-Consumer (D2C)

Focuses on users subscribing to personalized calorie tracking and AI-powered insights.

Enterprise Wellness Platforms

Enterprises licensing the Yazio clone app for employers and workforce health management.

Healthcare and Insurance Integrations

Nutrition tracking integration into urgent care apps for chronic disease management, risk assessment, and preventive care.

White Label Fitness Solutions

Businesses use white label apps for sale to generate revenue by deploying calorie-tracking platforms for fitness chains, health startups, and digital wellness companies.

Get a Customized Quote for Your Yazio Clone App

Suffescom helps your business develop a scalable calorie tracking app like Yazio tailored to your enterprise or startup needs.

Our Core Features Integration to Build a Scalable Calorie Tracking App Like Yazio

1) User Onboarding & Profile Management

Goal-based onboarding

Users are segmented based on fitness objectives, enabling the system to configure calorie logic and progress models aligned with specific metabolic goals.

Demographic and health data intake

Age, gender, height, weight, activity level, and health indicators are captured to support accurate energy and nutrition calculations.

AI-driven calorie and macro target calculation

The Yazio app clone dynamically calculates daily calorie limits and macro ratios by using machine learning models. It adjusts the targets as per the user behavior to analyze progress.

2) AI-Powered Calorie & Nutrition Tracking

Meal logging

Accurate, scalable input methods reduce friction across input modalities and accommodate user preferences and regional contexts.

AI food recognition and portion estimation

With AI food and portion recognition, computer vision models improve logging accuracy.

Macro and micronutrient analysis

The Yazio clone app development system breaks down logged meals into categories of macro and micronutrient analysis to provide advanced nutritional insights.

Dynamic calorie deficit/surplus calculations

Real-time recalculation of energy balance helps maintain alignment with personalized goals in a Calorie Tracking App like Yazio.

3) Food Database & Data Management

Centralized food and nutrition database

A unified data repository ensures consistent nutrition values across the platform.

Regional and branded food support

Localization enables accurate tracking of regional cuisines and packaged food products.

Custom food creation and updates

Users and administrators can add or modify food entries to keep data up to date.

Data normalization and accuracy validation

Automated validation processes reduce inconsistencies and maintain enterprise-grade data quality in Yazio app development.

4) Activity & Lifestyle Tracking

Step count and workout integration

Direct linking of physical activity data to calorie expenditure models enables accurate daily energy calculations.

Wearable device APIs

Wearables API integrations enable continuous data synchronization from third-party fitness devices.

Energy expenditure modeling

Algorithms estimate total daily energy expenditure using activity, metabolic rate, and historical trends.

Lifestyle habit tracking

Contextual insights based on habit data to provide personalized recommendations.

5) AI-Driven Insights & Recommendations

Personalized nutrition insights

Provides users with data-driven nutrition insights derived from raw data.

Adaptive meal suggestions

AI adaptive engines provide recommendations based on dietary goals, preferences, and the user's past behavior.

Behavioral nudges and habit formation logic

Builds consistent and long-term engagement with AI-driven prompts.

Predictive analytics for user outcomes

Forecasting models estimate progress trends, supporting scalable Yazio like app development for both B2C and B2B use cases.

Technology Stack Required for Yazio Clone App Development

If you need a Yazio clone app for your business, it requires a robust technology stack that supports real-time data processing, AI-driven feature integrations, cross-platform support, and scalability.

With the right combination of frontend, backend, security database, and third-party integrations, we at Suffescom support both performance and scalability for your business clone solutions. Below is a detailed breakdown of the recommended technology stack for Yazio like app development.

LayerTechnology / Tools
Description
Frontend (Mobile)Swift (iOS), Kotlin (Android), React Native / FlutterSwift and Kotlin ensure native performance for iOS and Android apps, while cross-platform frameworks like React Native or Flutter reduce development time and cost for a Calorie Tracking App like Yazio.
BackendNode.js, Python (Django / Flask), Ruby on RailsBackend frameworks like Django or Node.js provide scalability and fast iteration for Yazio app development.
DatabasePostgreSQL, MongoDB, FirebaseRelational and NoSQL databases manage user profiles, food data, activity logs, and AI-generated insights.
AI / MLTensorFlow, PyTorch, OpenCVAI frameworks enable food recognition, portion estimation, predictive analytics, and personalized nutrition recommendations, key features for Yazio like app development.
Cloud & DevOpsAWS, Google Cloud, Azure, Docker, KubernetesCloud computing platforms provide scalable infrastructure for data storage, AI training, and high-availability deployment for Yazio App Clone solutions.
Third-Party IntegrationsFitbit API, Garmin Health API, Apple HealthKit, Google FitConnect wearable devices and activity trackers to calculate energy expenditure and track lifestyle metrics accurately.
Analytics & BIGoogle Analytics, Mixpanel, TableauReal-time user behavior tracking and dashboard analytics support enterprise insights and performance monitoring for Calorie Tracking App like Yazio.
Notifications & MessagingFirebase Cloud Messaging, TwilioEnables push notifications, reminders, and AI-driven behavioral nudges to improve user engagement and retention.
Security & ComplianceOAuth 2.0, JWT, HIPAA/GDPR complianceEnsures secure data management, privacy, and adherence to healthcare and nutrition data regulations.

Cost to Build an App Like Yazio: Development Budget Breakdown

At Suffescom, we create a Yazio app clone for a range of $5,000–$25,000, depending on the level of feature integration, technology, security standards, and future enhancements. However, our services are transparent, affordable, and free of hidden costs.

Complexity / Feature Level
Approx. Cost Range (USD)
Basic Clone (minimal features)
$5,000 – $8,000
Standard / Mid-Level
$8,000 – $15,000
Feature-Rich
$15,000 – $25,000
Advanced Add-ons
$20,000 – $25,000

Key Factors Affecting the Cost of Yazio App Development

Multiple factors determine the cost of developing a calorie tracking app like Yazio. Understanding these factors helps break down the cost of building an app like Yazio while ensuring the Yazio clone is scalable and business-ready.

Feature Complexity

Core functionalities like AI-powered meal logging, calorie calculations, and activity tracking require robust technology and backend logic. The number of features for the Yazio like app development controls initial costs while leaving room for future enhancements.

AI and Data Infrastructure

A calorie tracking app like Yazio requires robust AI infrastructure and machine learning models for food recognition, nutrition analysis, and predictive behaviour features, which increase development and operational costs.

Platform Support

Native apps for iOS and Android increase development complexity and cost. Cross-platform frameworks such as Flutter and React Native affect both the timeline and budget for the Yazio app development process.

Third-Party Integrations

Wearable integrations, payment gateways, analytics, and compliance with privacy regulations (HIPAA, GDPR) add layers of complexity and increase initial development costs and ongoing maintenance.

Companies looking to build an app like Yazio can set their budget by selecting integrations that improve user engagement to support cost-effective scaling.

Yazio Clone App Development Process: From Concept to Market Launch

We build a Yazio clone aligned with business objectives, leveraging scalable technology and AI-driven features. Our structured development approach ensures predictable timelines, controlled development costs, and a stable foundation for long-term growth. Below is the detailed process we follow for the Yazio app development.

Discovery and Requirement Analysis

The first step in developing the Yazio clone app is to gather requirements, analyse business objectives, and understand user expectations.

At this stage, the focus is on identifying core features such as AI capabilities, compliance requirements, and the monetization strategy. A clear, transparent requirements analysis helps stakeholders determine the overall cost to build an app like Yazio.

UI/UX Design and Prototyping

The next stage is to create a prototype of the clone, including an onboarding journey, meal-logging workflows, and data visualization, with a clear and intuitive UI/UX design for the Yazio app.

Core Feature and AI Integration

This step involves AI feature integration, backend development, frontend implementation, and AI model integration to create a calorie tracking app like Yazio.

Quality Assurance and Deployment

Once features are integrated and development is complete, our team of experts rigorously tests the app to track nutrition in diet and ensure accurate calculations, API integrations, and platform performance. Once testing is successful, the clone is deployed to iOS, Android, and other platforms.

Post-Launch Optimization and Scaling

We support your business growth by providing post-launch support. Whether it’s new features integration, bug fixes or updates, we provide continuous improvement services to support long-term Yazio like app development solutions.

Monetization Models for a Calorie Tracking App Like Yazio

Businesses with modern calorie-tracking platforms are enabled to generate revenue through monetization models such as subscriptions, white label solutions, in-app purchases, or collaborations. Below are the well-structured monetization strategies important for the commercial success of the Yazio app clone.

1) Subscription-Based Monetization

Freemium vs Premium Tiers

The Freemium model of the clone lowers user acquisition costs while providing basic calorie tracking and meal logging. Premium features retain customers and support long-term revenue in Yazio like app development.

Feature Gating Strategies

Users get access to features such as AI food recognition, macro optimization, and progress forecasting by paying a fee. Feature gating develops recurring revenue and increases customer retention.

AI-Driven Upselling Opportunities

Advanced meal plans or deeper insights AI models increase conversion rates and average revenue per user.

2) Enterprise & B2B Monetization

Corporate Wellness Licensing

Organizations license the Yazio clone for the employee wellness programs, and the model provides stable, high-volume revenue for businesses.

API Access and Integrations

API integrations for nutrition and activity trackers help monetize through usage-based subscriptions and enable third-party platforms to integrate tracking intelligence into their products.

White Label Deployment Models

 Fully branded versions of the app are deployed for gyms, healthcare providers, or wellness startups. White-labeling accelerates market entry and maximizes ROI in Yazio app development.

3) In-App Purchases & Partnerships

Custom Meal Plans

Users can purchase goal-specific or condition-based meal plans, adding incremental revenue without increasing core subscription complexity.

Coaching and Premium Insights

A high margin of revenue generation through expert-led coaching, advanced reports, or AI-Powered reports tracking open doors to recurring and upsell opportunities for businesses.

Brand Partnerships and Affiliate Programs

Partnerships with food brands, fitness companies, and health services generate affiliate revenue while expanding the ecosystem of a Calorie Tracking App like Yazio.

MVP vs Full-Scale Yazio Clone App: Our Product Solutions for Scalable Growth

The right product scope is critical for businesses to balance time-to-market, budget, and scalability for the Yazio app clone. Many businesses start with an MVP to understand user demand and gather feedback on core functionality, then scale the platform into a custom application, enterprise-grade solution.

At Suffescom, we provide solutions tailored to your AI, feature-integration, and analytics requirements. Below is the phased product approach you can follow for your business:

Capability Area
MVP Yazio Clone App
Full-Scale Yazio Clone App
Calorie Tracking
Core meal logging, calorie counting, and daily goal tracking to validate primary use cases of a Calorie Tracking App like Yazio.
Advanced nutrition tracking with real-time adjustments, historical analysis, and goal optimization.
AI Capabilities
Basic AI or rule-based calorie targets and simple meal recommendations.
Advanced AI insights including predictive analytics, behavior modeling, and adaptive nutrition plans.
IntegrationsLimited integrations, typically basic activity tracking or a single wearable API.
Full ecosystem integration with wearables, health platforms, enterprise systems, and third-party services.
Architecture
Single-tenant or simplified backend optimized for fast deployment and testing.
Multi-tenant, scalable architecture supporting B2B and B2B2C deployments in Yazio like app development.
Food Database
Core food dataset with limited regional or branded items.
Global food database with regional localization, branded products, and continuous data enrichment.
Analytics & Reporting
Basic user metrics and engagement tracking.
Actionable insights for employers and health partners.
Target Use Case
Market validation and early user acquisition.
Enterprise wellness programs, healthcare integrations, and large-scale commercial deployment.

Technical Challenges in Yazio Clone App Development and How to Mitigate Them

Building a reliable, scalable calorie tracking app like Yazio presents several technical challenges, including handling large volumes of activity and behavioral data while maintaining accuracy and performance and fostering user engagement. We use a solution-oriented approach to tackle these challenges for your business growth. Listed below are the challenges we help your business with:

1) Data Quality & Accuracy

Food Database Inconsistencies

Nutritional Information can vary by region, brand, and Source. You can use techniques such as Data Normalization Pipelines, Version-Controlled Food Sources, and Auto Validation Rules when developing your Yazio app to mitigate inconsistencies in the food database.

False Results in Food Recognition

AI-based food recognition systems may misclassify meals and portions, resulting in inaccurate calorie counts. You can reduce the risk of errors in Yazio-like APP creation by combining Computer Vision and Consumer Validation Processes with regular model retraining.

2) Scalability

Load Balancing

As the user base grows, the backend system must handle spikes in logging, synchronization, and overall AI inference requests. Due to the lack of distributed architectures and cloud-based load balancers, app clone performance degrades.

Real-Time Analytics

Instant real-time analytics requires processing data streams with low latency. Yazio app clone development uses event-driven architectures and optimized data pipelines to enable real-time calorie calculations and analytics without compromising system stability.

3) User Retention

AI-Powered Engagement Loops

The key to maintaining consistent levels of user interaction is to provide them with timely, personalized touchpoints. Machine Learning models enable the creation of immediate, assistance-based communication channels for clients based on their behaviors, triggering context-based reminders, derived insights, and recommendations to reinforce daily usage.

Gamification & Habit Reinforcement

Streaks, milestones, and visual representation of progress support users in being consistent with their efforts, and by incorporating these types of gamification elements into Calorie Tracking Applications, such as Yazio, user retention can increase as well as the expected total value of a user during their lifetime, thus justifying the substantial costs involved in developing a Mobile App, like Yazio.

Suffescom Best Practices for Building a Yazio Clone App

To create an app like Yazio requires more than just feature integration. We apply proverb engineering and product practices to ensure your app is scalable, meets compliance standards, and supports long-term growth.

At Suffescom, we aim to become your trusted partner, delivering best-in-class quality practices that turn complex technical ideas into profitable business solutions.

Modular and Scalable Architecture

Calorie Tracking App like Yazio needs a modular backend and service-oriented architecture, and our team of experts integrated core components such as food logging, AI inference, and analytics to support enterprise deployments and future expansion.

Data-First Product Strategy

We build an app like Yazio with a data-first product strategy to treat core functionalities as assets from day one. Our data models and robust pipelines improve AI accuracy and support advanced insights.

Privacy-by-Design Approach

Our solutions are built with security and compliance standards such as GDPR and HIPAA to ensure enterprise trust and healthcare integrations in the Yazio app development process.

Continuous AI Improvement

Our team of React Native and Next.js developers, managers, and designers continuously monitors and optimizes Yazio like app development solutions to ensure accurate food recognition, calorie calculations, and predictive analytics.

User-Centric UX for Complex Data

We create intuitive dashboards with clear UX to improve engagement and adoption, especially for wellness and healthcare businesses.

Future Trends Shaping AI-Based Nutrition and Calorie Tracking Apps

The rapid growth in demand for calorie-tracking apps like Yazio is creating business opportunities. However, it’s essential for businesses to stay ahead of new future trends to scale in B2B and B2B2C markets with a Yazio clone.

AI-Powered Health Coaching

Demand for AI-driven coaching enables enterprises to deliver solutions such as personalized meal plans, fitness guidance, and real-time behavioral analytics at scale. It enables NLP developers to create an app like Yazio without relying solely on human coaches.

Integration with Digital Therapeutics

Nutrition apps are adopting digital therapeutics integration to support chronic disease management. For businesses to build an app like Yazio, this trend provide value added services for healthcare providers and insurers.

Predictive and Preventive Health Analytics

Advanced AI predictive analytics uses historical and current data to assess potential health risks and recommend preventive measures. These advanced analytics will enable a calorie-tracking application (e.g., Yazio) to serve as an active health management tool for companies that use it.

Voice-Based and Multimodal Interfaces

Voice-enabled AI-powered nutritionist assistants, multimodal interfaces (image-based, text-based, speech-based) make it easy for people to log their meals and interact with the app. Using these interface methodologies will make the Yazio app more accessible to users, thereby facilitating adoption and encouraging uptake of corporate wellness programs and building a global user base.

Build a Scalable AI-Based Nutrition Platform

Discover how Suffescom's modular, data-first, and AI-driven approach can help your business launch a scalable Yazio-like app.

Conclusion

By leveraging advanced analytics and AI-powered calorie and nutrition tracking, developing a Yazio clone app creates compelling opportunities for businesses to enter the growing health tech market. Suffescom provides unique solutions, from MVP development to full-featured enterprise-grade solutions, with a structured approach that ensures accuracy, scalability, and long-term engagement.

Trends such as predictive health analytics, digital therapeutics integration, and multimodal interfaces are viewed as strategic assets for enterprises, insurers, and wellness providers. For businesses planning to build an app like Yazio, adopting best practices in data quality, privacy, AI-driven personalization, and UX design is key to maximizing ROI, user retention, and market competitiveness in the calorie-tracking segment.

FAQs

1. What is a Yazio clone app?

A Yazio clone app is an AI-powered calorie and nutrition tracking application that replicates and enhances Yazio’s core functionality, including calorie counting, meal tracking, personalized diet plans, and health analytics, while allowing businesses to customize features, branding, and monetization models.

2. How much does it cost to build an app like Yazio?

The cost to build an app like Yazio typically ranges from $5,000 to $25,000+, depending on feature complexity, AI integration, supported platforms (iOS, Android, Web), third-party APIs integration, and compliance requirements. Enterprise-grade AI and wearable integrations significantly impact the final cost.

3. How long does it take to develop a Yazio clone app?

A basic MVP version of a Yazio clone app can be developed in few weeks, while a fully featured, AI-powered calorie tracking app may take 3-4 months, depending on customization, scalability, and integration requirements.

4. What are the essential features of a calorie tracking app like Yazio?

Key features include:

  • AI-based calorie and nutrition tracking
  • Food barcode and image recognition
  • Personalized diet and goal management
  • Activity and wearable device integration
  • Advanced analytics and progress tracking
  • Subscription and premium feature management

5. Is AI mandatory to build a calorie tracking app like Yazio?

While AI is not mandatory for a basic calorie tracking app, it is essential for advanced personalization, food recognition, predictive insights, and user retention, making it a critical differentiator in competitive nutrition and health tech markets.

6. How do Yazio-like apps generate revenue?

Yazio-like calorie tracking apps typically generate revenue through:

  • Subscription-based premium plans
  • In-app purchases (meal plans, coaching)
  • Enterprise licensing and white label solutions
  • API integrations with healthcare and wellness platforms

7. Can a Yazio clone app be developed as a white label solution?

Yes, a Yazio clone app can be built as a white-label, multi-tenant platform, allowing fitness brands, enterprises, or healthcare providers to customize branding, features, and monetization for different clients.

8. What technology stack is used for Yazio app development?

A typical tech stack includes:

  • Frontend: React Native / Flutter / Swift / Kotlin
  • Backend: Node.js / Python / Java with REST or GraphQL APIs
  • AI/ML: TensorFlow, PyTorch, computer vision & NLP models
  • Cloud: AWS, Azure, or Google Cloud
  • Databases: PostgreSQL, MongoDB

9. What challenges are involved in building a Yazio clone app?

Major challenges include:

  • Ensuring food data accuracy
  • Training reliable AI food recognition models
  • Managing large-scale user data securely
  • Achieving long-term user engagement and retention

10. Is a Yazio clone app suitable for enterprise and corporate wellness programs?

Yes, Yazio clone apps are well-suited for corporate wellness, insurance, and healthcare programs, offering scalable architecture, analytics dashboards, and AI-driven insights for enterprise use cases.

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